Senior IT Solutions Architect Position Summary We are looking for a strategic and technically driven Senior IT Solutions Architect to lead the design, planning, and implementation of enterprise technology solutions that support business growth and operational efficiency. This individual will serve as a liaison between business stakeholders and technical teams, helping drive scalable and secure technology initiatives across complex environments. The ideal candidate will bring a strong background in enterprise applications, systems integration, cloud technologies, and large-scale transformation initiatives. Key Responsibilities Assess existing technology environments and recommend improvements to system architecture, workflows, and integrations Design scalable technology solutions that align with organizational goals and long-term IT strategy Collaborate with leadership, business units, infrastructure teams, and developers to translate operational requirements into technical solutions Provide architectural guidance across enterprise applications including ERP, CRM, manufacturing, and operational platforms Build integration frameworks connecting cloud, on-premise, and third-party systems Ensure solutions meet standards related to security, performance, reliability, and maintainability Develop technical architecture documentation, process flows, and implementation roadmaps Research emerging technologies and identify opportunities for modernization and automation Support project teams throughout delivery by validating technical direction and solution alignment Participate in technical governance discussions and architecture review processes Promote reusable frameworks, development standards, and technology best practices Preferred Qualifications Strong knowledge of enterprise solution architecture methodologies and system design concepts Experience working with enterprise platforms such as SAP, Oracle, Microsoft Dynamics, CRM systems, or manufacturing technologies Understanding of cloud infrastructure and hybrid environments within Azure, AWS, or Google Cloud Experience with APIs, middleware, microservices, and enterprise integration approaches Familiarity with data governance, analytics environments, and reporting ecosystems Ability to balance business priorities with technical scalability and risk management Strong communication and stakeholder management skills Experience working in Agile delivery environments and cross-functional technical teams Education & Experience Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline required Advanced degree or technical certifications preferred 7+ years of experience in solution architecture, enterprise systems, or technical consulting roles Prior experience supporting enterprise operations, manufacturing, supply chain, or industrial technology environments is a plus By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
09/25/2026
Full time
Senior IT Solutions Architect Position Summary We are looking for a strategic and technically driven Senior IT Solutions Architect to lead the design, planning, and implementation of enterprise technology solutions that support business growth and operational efficiency. This individual will serve as a liaison between business stakeholders and technical teams, helping drive scalable and secure technology initiatives across complex environments. The ideal candidate will bring a strong background in enterprise applications, systems integration, cloud technologies, and large-scale transformation initiatives. Key Responsibilities Assess existing technology environments and recommend improvements to system architecture, workflows, and integrations Design scalable technology solutions that align with organizational goals and long-term IT strategy Collaborate with leadership, business units, infrastructure teams, and developers to translate operational requirements into technical solutions Provide architectural guidance across enterprise applications including ERP, CRM, manufacturing, and operational platforms Build integration frameworks connecting cloud, on-premise, and third-party systems Ensure solutions meet standards related to security, performance, reliability, and maintainability Develop technical architecture documentation, process flows, and implementation roadmaps Research emerging technologies and identify opportunities for modernization and automation Support project teams throughout delivery by validating technical direction and solution alignment Participate in technical governance discussions and architecture review processes Promote reusable frameworks, development standards, and technology best practices Preferred Qualifications Strong knowledge of enterprise solution architecture methodologies and system design concepts Experience working with enterprise platforms such as SAP, Oracle, Microsoft Dynamics, CRM systems, or manufacturing technologies Understanding of cloud infrastructure and hybrid environments within Azure, AWS, or Google Cloud Experience with APIs, middleware, microservices, and enterprise integration approaches Familiarity with data governance, analytics environments, and reporting ecosystems Ability to balance business priorities with technical scalability and risk management Strong communication and stakeholder management skills Experience working in Agile delivery environments and cross-functional technical teams Education & Experience Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline required Advanced degree or technical certifications preferred 7+ years of experience in solution architecture, enterprise systems, or technical consulting roles Prior experience supporting enterprise operations, manufacturing, supply chain, or industrial technology environments is a plus By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
IT Developer Company Overview Industry: Renewable Energy / Industrial Technology A technology-driven organization focused on innovation, operational excellence, and enterprise digital transformation. The company is investing in advanced data, analytics, and AI solutions to improve business performance and decision-making. Role Overview Position Title: IT Developer Location: Fully Remote Employment Type: Full Time Why is this role open? To support the development of enterprise applications, data solutions, system integrations, and analytics initiatives across the business. Job Description Overview Seeking an IT Developer to design, develop, and support enterprise applications and analytics solutions within a modern data platform environment. This role will focus on application development, data integration, workflow automation, reporting, and AI-enabled solutions that support operational and strategic business objectives. Key Responsibilities Design, develop, deploy, and maintain enterprise applications, workflows, and data products. Build and optimize data pipelines, integrations, and transformation processes. Develop dashboards, reporting solutions, and operational workflows. Collaborate with stakeholders to translate business requirements into technical solutions. Support AI-enabled applications, automation initiatives, and analytics solutions. Troubleshoot application, integration, and data quality issues. Perform testing, deployment, documentation, and ongoing support activities. Maintain data governance, security, and compliance standards. Partner with cross-functional business and technology teams. Create and maintain technical documentation and architecture artifacts. Business Impact This role helps drive digital transformation through improved data visibility, process automation, analytics, and operational efficiency across multiple business functions. Skills Required Skills Bachelor's degree in Computer Science, Information Technology, Information Systems, Software Engineering, Data Analytics, or a related field. 3+ years of experience in software development, application development, data engineering, or enterprise systems development. 2+ years of experience supporting enterprise data platforms, analytics solutions, or digital transformation initiatives. Experience developing integrations between enterprise applications and databases. Strong understanding of software development lifecycle (SDLC) methodologies. Experience with SQL and relational databases. Experience building APIs and system integrations. Understanding of cloud-based architectures and enterprise application design. Knowledge of data modeling, ETL processes, and data governance principles. Experience with Git, DevOps practices, and CI/CD pipelines. Strong troubleshooting, analytical, and problem-solving abilities. Excellent written and verbal communication skills. Ability to work effectively with both technical and non-technical stakeholders. Strong process improvement mindset and ability to manage multiple priorities in a fast-paced environment. Team-oriented approach to solution delivery. Preferred Skills Experience with enterprise data, analytics, or AI platforms. Experience with Python, Java, JavaScript, TypeScript, or similar programming languages. Experience supporting manufacturing, supply chain, industrial, or renewable energy operations. Familiarity with ERP systems such as SAP, Oracle, NetSuite, Microsoft Dynamics, or similar platforms. Experience developing AI, machine learning, predictive analytics, or workflow automation solutions. Experience with reporting and visualization tools. Knowledge of master data management and data governance best practices. Experience working in Agile/Scrum environments. Cultural Fit Collaborative and team-oriented Strong problem solver Continuous learner with interest in emerging technologies Adaptable in a fast-paced environment Business-focused and results-driven Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
09/25/2026
Full time
IT Developer Company Overview Industry: Renewable Energy / Industrial Technology A technology-driven organization focused on innovation, operational excellence, and enterprise digital transformation. The company is investing in advanced data, analytics, and AI solutions to improve business performance and decision-making. Role Overview Position Title: IT Developer Location: Fully Remote Employment Type: Full Time Why is this role open? To support the development of enterprise applications, data solutions, system integrations, and analytics initiatives across the business. Job Description Overview Seeking an IT Developer to design, develop, and support enterprise applications and analytics solutions within a modern data platform environment. This role will focus on application development, data integration, workflow automation, reporting, and AI-enabled solutions that support operational and strategic business objectives. Key Responsibilities Design, develop, deploy, and maintain enterprise applications, workflows, and data products. Build and optimize data pipelines, integrations, and transformation processes. Develop dashboards, reporting solutions, and operational workflows. Collaborate with stakeholders to translate business requirements into technical solutions. Support AI-enabled applications, automation initiatives, and analytics solutions. Troubleshoot application, integration, and data quality issues. Perform testing, deployment, documentation, and ongoing support activities. Maintain data governance, security, and compliance standards. Partner with cross-functional business and technology teams. Create and maintain technical documentation and architecture artifacts. Business Impact This role helps drive digital transformation through improved data visibility, process automation, analytics, and operational efficiency across multiple business functions. Skills Required Skills Bachelor's degree in Computer Science, Information Technology, Information Systems, Software Engineering, Data Analytics, or a related field. 3+ years of experience in software development, application development, data engineering, or enterprise systems development. 2+ years of experience supporting enterprise data platforms, analytics solutions, or digital transformation initiatives. Experience developing integrations between enterprise applications and databases. Strong understanding of software development lifecycle (SDLC) methodologies. Experience with SQL and relational databases. Experience building APIs and system integrations. Understanding of cloud-based architectures and enterprise application design. Knowledge of data modeling, ETL processes, and data governance principles. Experience with Git, DevOps practices, and CI/CD pipelines. Strong troubleshooting, analytical, and problem-solving abilities. Excellent written and verbal communication skills. Ability to work effectively with both technical and non-technical stakeholders. Strong process improvement mindset and ability to manage multiple priorities in a fast-paced environment. Team-oriented approach to solution delivery. Preferred Skills Experience with enterprise data, analytics, or AI platforms. Experience with Python, Java, JavaScript, TypeScript, or similar programming languages. Experience supporting manufacturing, supply chain, industrial, or renewable energy operations. Familiarity with ERP systems such as SAP, Oracle, NetSuite, Microsoft Dynamics, or similar platforms. Experience developing AI, machine learning, predictive analytics, or workflow automation solutions. Experience with reporting and visualization tools. Knowledge of master data management and data governance best practices. Experience working in Agile/Scrum environments. Cultural Fit Collaborative and team-oriented Strong problem solver Continuous learner with interest in emerging technologies Adaptable in a fast-paced environment Business-focused and results-driven Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
Description : The Senior Manager, Commercial Analytics & Business Intelligence, is a pivotal, hands-on leader within the Commercial Operations function as DBV-Technologies prepares for its first U.S. commercial launch in Peanut Allergy. Reporting to the Head of Commercial Operations & Analytics, this individual will help design and build the commercial analytics engine from the ground up - the dashboards, data pipelines, KPIs, and insights that turn a first-launch biotech into a decision-ready organization. In a first-launch environment, analytics is not a back-office reporting function - it is a core strategic capability. Every targeting decision, segmentation model, incentive plan, and performance review depends on trustworthy data and sharp interpretation. This role sits at the intersection of business strategy, advanced analytics, and commercial execution, serving as a key partner to Marketing, Sales Leadership, Market Access, Forecasting, Finance, and Executive Leadership. The insights this individual produces will directly shape how the organization launches, learns, and refines its go-to-market model. The ideal candidate pairs deep technical fluency - advanced SQL, strong Python, modern BI, and applied AI - with the business acumen and executive communication skills to influence senior stakeholders without formal authority. This is deliberately not a reporting-only profile: we are looking for a builder who is equally comfortable architecting a data model, engineering an automated pipeline, and standing in front of leadership to tell the story the numbers reveal. Location : Warren, New Jersey - minimum 3 days on site Salary Range : $150-180k Key Responsibilities : Analytics, Reporting & Performance Management • Design, build, and maintain commercial analytics, reporting, dashboards, KPIs, and performance-management processes that give leadership a real-time view of launch performance against plan. • Develop KPI scorecards, trend analyses, and variance reporting for business performance reviews with senior leadership. • Translate complex, multi-source analyses into clear, actionable recommendations for executive decision-making. Data Sources & Commercial Insights • Develop insights from pharmaceutical patient, prescriber, claims, specialty pharmacy, hub, and market access data sources, integrating disparate feeds into coherent business narratives. • Build and maintain the analytical layer connecting Xponent, LAAD, claims, specialty pharmacy/hub, and payer data into usable, trustworthy assets. Launch Planning, Targeting & Field Effectiveness • Support launch planning through HCP-level targeting, segmentation, and call-plan analytics that focus field resources where they matter most. • Provide incentive compensation (IC) analytics and field force effectiveness measurement, quantifying the relationship between promotional activity and downstream prescribing. • Evaluate targeting and segmentation model performance post-launch and recommend refinements based on observed results. Forecasting, Finance & Scenario Analysis • Partner with Forecasting and Finance to evaluate business scenarios, performance drivers, and resource-allocation trade-offs. • Provide analytical support that connects performance data to budget cycles, long-range planning, and executive reporting. Data Governance & Best Practices • Drive data governance, documentation standards, and analytical best practices so the organization's data assets are reliable, compliant, and reusable. • Build scalable, automated pipelines and reporting to reduce manual effort and increase speed and accuracy. AI & Advanced Analytics • Identify high-value AI use cases and translate them into measurable business outcomes, applying LLMs, generative and agentic AI, and automation to improve commercial processes and decision-making. • Apply traditional machine learning and statistical methods (predictive modeling, segmentation, propensity) where they add commercial value. Qualifications : Required • 8-10 years of progressive experience in pharmaceutical analytics, commercial operations, business intelligence, or a closely related field. • Advanced SQL proficiency, with the ability to write, optimize, and maintain complex queries against large commercial datasets. • Strong Python skills for data engineering, automation, analytics, and predictive modeling. • Hands-on experience with BI and visualization platforms such as Power BI, Tableau, or similar tools. • Demonstrated experience with pharmaceutical commercial datasets, including IQVIA Xponent, IQVIA LAAD, claims data, specialty pharmacy and hub data, market access / payer data, and HCP-level targeting and segmentation datasets. • Demonstrated success supporting pharmaceutical product launches, including targeting, segmentation, IC analytics, and field force effectiveness. • Exceptional executive communication and storytelling skills, with a proven ability to influence cross-functional stakeholders without formal authority. • Comfort operating in a fast-paced, ambiguous, prelaunch environment, balancing strategic thinking with hands-on execution. • Bachelor's degree required, preferably in a quantitative discipline (Statistics, Economics, Mathematics, Engineering, Life Sciences, or related field). Preferred • Experience supporting specialty, immunology, allergy, rare disease, or biologic product launches. • Familiarity with cloud-based analytics environments and modern data architectures (e.g., AWS, Azure, Databricks, Snowflake). • Experience applying AI within commercial pharmaceutical organizations - including LLMs, generative AI, agentic AI, and automation tooling. • Experience with statistical analysis, predictive analytics, and data science methodologies. • Experience within emerging biotech companies or resource-constrained, high-growth environments. • Advanced degree (MBA, MS, or PhD) in a quantitative or business discipline. Behavioral skills : Curiosity: Keep on exploring uncharted territories. Always ask "why?" and more importantly "why not?", Courage: Take smart risks, mentor each other to always do better & be accountable for our choices, our opinions, and our actions, Collaboration: Teamwork and spirit. Support each other and be equally involved in the achievement of our common goals, Credibility: Be transparent, follow through and build trust. Educate ourselves about our unique technology.
09/25/2026
Full time
Description : The Senior Manager, Commercial Analytics & Business Intelligence, is a pivotal, hands-on leader within the Commercial Operations function as DBV-Technologies prepares for its first U.S. commercial launch in Peanut Allergy. Reporting to the Head of Commercial Operations & Analytics, this individual will help design and build the commercial analytics engine from the ground up - the dashboards, data pipelines, KPIs, and insights that turn a first-launch biotech into a decision-ready organization. In a first-launch environment, analytics is not a back-office reporting function - it is a core strategic capability. Every targeting decision, segmentation model, incentive plan, and performance review depends on trustworthy data and sharp interpretation. This role sits at the intersection of business strategy, advanced analytics, and commercial execution, serving as a key partner to Marketing, Sales Leadership, Market Access, Forecasting, Finance, and Executive Leadership. The insights this individual produces will directly shape how the organization launches, learns, and refines its go-to-market model. The ideal candidate pairs deep technical fluency - advanced SQL, strong Python, modern BI, and applied AI - with the business acumen and executive communication skills to influence senior stakeholders without formal authority. This is deliberately not a reporting-only profile: we are looking for a builder who is equally comfortable architecting a data model, engineering an automated pipeline, and standing in front of leadership to tell the story the numbers reveal. Location : Warren, New Jersey - minimum 3 days on site Salary Range : $150-180k Key Responsibilities : Analytics, Reporting & Performance Management • Design, build, and maintain commercial analytics, reporting, dashboards, KPIs, and performance-management processes that give leadership a real-time view of launch performance against plan. • Develop KPI scorecards, trend analyses, and variance reporting for business performance reviews with senior leadership. • Translate complex, multi-source analyses into clear, actionable recommendations for executive decision-making. Data Sources & Commercial Insights • Develop insights from pharmaceutical patient, prescriber, claims, specialty pharmacy, hub, and market access data sources, integrating disparate feeds into coherent business narratives. • Build and maintain the analytical layer connecting Xponent, LAAD, claims, specialty pharmacy/hub, and payer data into usable, trustworthy assets. Launch Planning, Targeting & Field Effectiveness • Support launch planning through HCP-level targeting, segmentation, and call-plan analytics that focus field resources where they matter most. • Provide incentive compensation (IC) analytics and field force effectiveness measurement, quantifying the relationship between promotional activity and downstream prescribing. • Evaluate targeting and segmentation model performance post-launch and recommend refinements based on observed results. Forecasting, Finance & Scenario Analysis • Partner with Forecasting and Finance to evaluate business scenarios, performance drivers, and resource-allocation trade-offs. • Provide analytical support that connects performance data to budget cycles, long-range planning, and executive reporting. Data Governance & Best Practices • Drive data governance, documentation standards, and analytical best practices so the organization's data assets are reliable, compliant, and reusable. • Build scalable, automated pipelines and reporting to reduce manual effort and increase speed and accuracy. AI & Advanced Analytics • Identify high-value AI use cases and translate them into measurable business outcomes, applying LLMs, generative and agentic AI, and automation to improve commercial processes and decision-making. • Apply traditional machine learning and statistical methods (predictive modeling, segmentation, propensity) where they add commercial value. Qualifications : Required • 8-10 years of progressive experience in pharmaceutical analytics, commercial operations, business intelligence, or a closely related field. • Advanced SQL proficiency, with the ability to write, optimize, and maintain complex queries against large commercial datasets. • Strong Python skills for data engineering, automation, analytics, and predictive modeling. • Hands-on experience with BI and visualization platforms such as Power BI, Tableau, or similar tools. • Demonstrated experience with pharmaceutical commercial datasets, including IQVIA Xponent, IQVIA LAAD, claims data, specialty pharmacy and hub data, market access / payer data, and HCP-level targeting and segmentation datasets. • Demonstrated success supporting pharmaceutical product launches, including targeting, segmentation, IC analytics, and field force effectiveness. • Exceptional executive communication and storytelling skills, with a proven ability to influence cross-functional stakeholders without formal authority. • Comfort operating in a fast-paced, ambiguous, prelaunch environment, balancing strategic thinking with hands-on execution. • Bachelor's degree required, preferably in a quantitative discipline (Statistics, Economics, Mathematics, Engineering, Life Sciences, or related field). Preferred • Experience supporting specialty, immunology, allergy, rare disease, or biologic product launches. • Familiarity with cloud-based analytics environments and modern data architectures (e.g., AWS, Azure, Databricks, Snowflake). • Experience applying AI within commercial pharmaceutical organizations - including LLMs, generative AI, agentic AI, and automation tooling. • Experience with statistical analysis, predictive analytics, and data science methodologies. • Experience within emerging biotech companies or resource-constrained, high-growth environments. • Advanced degree (MBA, MS, or PhD) in a quantitative or business discipline. Behavioral skills : Curiosity: Keep on exploring uncharted territories. Always ask "why?" and more importantly "why not?", Courage: Take smart risks, mentor each other to always do better & be accountable for our choices, our opinions, and our actions, Collaboration: Teamwork and spirit. Support each other and be equally involved in the achievement of our common goals, Credibility: Be transparent, follow through and build trust. Educate ourselves about our unique technology.
The Doctors Company is seeking a Manager Engineering & Sr Data Architect to join our team. This is a hybrid opportunity preferably located at our office in New York City, or any other TDC Group or ProAssurance office location. The Manager Engineering & Sr Data Architect will lead the Data and AI architecture and engineering function as a technical manager with direct accountability for team performance, staffing, talent development, technical direction, and delivery. This is a team leader role that supervises a team of data engineers, analytics engineers, and architects. The role owns Microsoft Fabric architecture, enterprise data and semantic modeling, integration design, and governed AI enablement while building an engaged, capable, and accountable team. Qualifications: Bachelor's or master's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related field; equivalent experience considered. 10+ years of deep enterprise data, analytics, engineering, or architecture experience with accountability for architecture decisions in production. 3+ years directly managing and supervising data engineers, analytics engineers, architects, or similar technical staff, including managing a team through change. Direct accountability for hiring, onboarding, goal setting, performance reviews, coaching, career development, workload planning, succession planning, employee relations, and retention. Hands-on expertise with Microsoft Fabric (OneLake, Lakehouse, Warehouse, Pipelines, Dataflows Gen2, notebooks, Real-Time Intelligence, Power BI, workspaces, security, and capacity governance). Expertise in enterprise data and semantic modeling: conceptual, logical, physical, dimensional, and canonical models; data contracts; Power BI semantic models; lineage; RLS/OLS/CLS; and performance tuning. Strong SQL, Python, PySpark, Delta Lake, batch, CDC, streaming, API, DataOps, automated testing, CI/CD, observability, and cost-management experience. Constructive, solution-oriented leadership and strong executive communication; regulated-industry experience (insurance, healthcare, or financial services) preferred. People Leadership, Performance & Team Development Clearly define and communicate team roles, expectations, and responsibilities. Provide coaching, guidance, and support to help employees achieve performance and development goals Deliver consistent, constructive, feedback to recognize achievements, address challenges, and reinforce desired behaviors. Conduct regular 1:1 meeting and ensure timely completion of performance review cycles, maintaining alignment and accountability. Hold staff accountable for compliance with organizational policies and standards. Foster a culture of continuous learning, innovation, and accountability by encouraging team members to pursue new challenges and opportunities. Model and reinforce organizational values, actively recognizing and celebrating behaviors that exemplify them. Microsoft Fabric Architecture & Platform Delivery Own the end-to-end Microsoft Fabric reference architecture across OneLake, Lakehouse, Warehouse, Pipelines, Dataflows Gen2, notebooks, Real-Time Intelligence, Power BI, workspaces, domains, and capacities. Lead the team delivering foundational Fabric patterns and priority platform components; stay hands-on for high-risk design, prototyping, review, and troubleshooting. Define medallion, batch, CDC, streaming, mirroring, shortcut, deployment, security, monitoring, and capacity-management patterns. Maintain current architecture diagrams, standards, roadmaps, architecture decisions, and implementation guardrails. Enterprise Data, Semantic Model & Integration Architecture Own conceptual, logical, physical, canonical, dimensional, and enterprise semantic model standards across policy, claims, provider, patient safety, underwriting, actuarial, and finance domains. Establish Power BI semantic model standards for measures, calculation groups, naming, certified datasets, reuse, refresh, performance, lineage, ownership, and RLS/OLS/CLS. Define data contracts, model versioning, metadata, glossary, master/reference data, ontology, and knowledge-graph alignment. Design secure integrations across Fabric, Azure, operational systems, content platforms, and external providers using APIs, events, CDC, streaming, files, and batch patterns. Engineering Excellence, Governance, Reliability & Cost Establish Git-based delivery, pull-request review, automated testing, CI/CD, environment promotion, release, rollback, observability, incident response, and operational-readiness standards. Define service objectives and telemetry for pipelines, capacities, semantic models, AI services, and critical data products; lead root-cause analysis and durable remediation without blame. Embed least privilege, secrets management, PHI/PII controls, sensitivity, retention, data quality, lineage, auditability, and responsible AI controls into delivery patterns. Forecast, monitor, explain, and optimize platform capacity, compute, storage, licensing, and vendor cost against business value. Strategic Partnership, Communication & Change Leadership Translate strategy and ambiguous business needs into decision-ready options, recommendations, diagrams, roadmaps, staffing plans, and executable work for technical and executive audiences. Partner with Enterprise Architecture, Security, Infrastructure, Governance, Claims, Underwriting, Actuarial, Reporting, Legal/Compliance, Finance, and vendors to resolve tradeoffs and dependencies. Communicate risks early with context, impact, options, and a recommended action; represent decisions with composure, transparency, and sound judgment. Lead adoption of architecture standards and new ways of working through stakeholder engagement, education, measurement, and reinforcement. Learning, Development, & Compliance Maintain full compliance with all organizational policies, procedures, and established standards (e.g. accurately recording time worked, submitting PTO, mandatory corporate training). Keep technical knowledge and skills current to effectively support department priorities. Complete all performance and development activities - including the performance review process - in a timely manner. Fulfill all required training and development obligations to maintain essential skills and credentials. Complete all mandator compliance courses on time, meeting corporate training standards. Pursue additional learning opportunities that strengthen professional capabilities and contribute to team and organizational performance, with prior manager approval. Other Duties as Assigned Maintain full compliance with all organizational policies, procedures, and established standards (e.g. accurately recording time worked, submitting PTO, mandatory corporate training). Keep technical knowledge and skills current to effectively support department priorities. Complete all performance and development activities - including the performance review process - in a timely manner. Fulfill all required training and development obligations to maintain essential skills and credentials. Complete all mandator compliance courses on time, meeting corporate training standards. Pursue additional learning opportunities that strengthen professional capabilities and contribute to team and organizational performance, with prior manager approval. Salary Range: $124,548 - $163,879. This position is eligible for participation in the Company's Short-Term Incentive Plan (STIP), offering additional compensation driven by individual and company performance. Compensation is determined based on factors such as skills, experience, education, and market considerations. We consider factors such as specialized skills, depth of knowledge in the field, and educational background to ensure fair and competitive pay. Salary may also include additional geographic differential for employees working in higher-cost labor markets, including states such as New York and California. While the posted range reflects our anticipated hiring range, we remain open to considering candidates with exceptional qualifications, specialized expertise, or directly relevant experience that may warrant compensation outside of that range. Benefits We offer competitive compensation, an incentive bonus plan, outstanding career opportunities, an exceptional work environment, and an impressive benefits package, which starts with medical, family and bereavement leave; same-sex domestic partner benefits; short- and long-term disability programs; and an employee assistance program. There's more: Health, dental, and vision insurance Health care tax-free spending accounts with a company match 401(k) and Roth IRA with company match, as well as catch-up plans for both Vacation days, sick days, and paid personal days each calendar year (with vacation increases based on length of service) Paid holidays each calendar year Life and travel insurance Tax-free commuter benefits In-person and online learning opportunities Cross-function career opportunities Business casual work environment Time off to volunteer Matching donations to qualifying nonprofit organizations . click apply for full job details
09/25/2026
Full time
The Doctors Company is seeking a Manager Engineering & Sr Data Architect to join our team. This is a hybrid opportunity preferably located at our office in New York City, or any other TDC Group or ProAssurance office location. The Manager Engineering & Sr Data Architect will lead the Data and AI architecture and engineering function as a technical manager with direct accountability for team performance, staffing, talent development, technical direction, and delivery. This is a team leader role that supervises a team of data engineers, analytics engineers, and architects. The role owns Microsoft Fabric architecture, enterprise data and semantic modeling, integration design, and governed AI enablement while building an engaged, capable, and accountable team. Qualifications: Bachelor's or master's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related field; equivalent experience considered. 10+ years of deep enterprise data, analytics, engineering, or architecture experience with accountability for architecture decisions in production. 3+ years directly managing and supervising data engineers, analytics engineers, architects, or similar technical staff, including managing a team through change. Direct accountability for hiring, onboarding, goal setting, performance reviews, coaching, career development, workload planning, succession planning, employee relations, and retention. Hands-on expertise with Microsoft Fabric (OneLake, Lakehouse, Warehouse, Pipelines, Dataflows Gen2, notebooks, Real-Time Intelligence, Power BI, workspaces, security, and capacity governance). Expertise in enterprise data and semantic modeling: conceptual, logical, physical, dimensional, and canonical models; data contracts; Power BI semantic models; lineage; RLS/OLS/CLS; and performance tuning. Strong SQL, Python, PySpark, Delta Lake, batch, CDC, streaming, API, DataOps, automated testing, CI/CD, observability, and cost-management experience. Constructive, solution-oriented leadership and strong executive communication; regulated-industry experience (insurance, healthcare, or financial services) preferred. People Leadership, Performance & Team Development Clearly define and communicate team roles, expectations, and responsibilities. Provide coaching, guidance, and support to help employees achieve performance and development goals Deliver consistent, constructive, feedback to recognize achievements, address challenges, and reinforce desired behaviors. Conduct regular 1:1 meeting and ensure timely completion of performance review cycles, maintaining alignment and accountability. Hold staff accountable for compliance with organizational policies and standards. Foster a culture of continuous learning, innovation, and accountability by encouraging team members to pursue new challenges and opportunities. Model and reinforce organizational values, actively recognizing and celebrating behaviors that exemplify them. Microsoft Fabric Architecture & Platform Delivery Own the end-to-end Microsoft Fabric reference architecture across OneLake, Lakehouse, Warehouse, Pipelines, Dataflows Gen2, notebooks, Real-Time Intelligence, Power BI, workspaces, domains, and capacities. Lead the team delivering foundational Fabric patterns and priority platform components; stay hands-on for high-risk design, prototyping, review, and troubleshooting. Define medallion, batch, CDC, streaming, mirroring, shortcut, deployment, security, monitoring, and capacity-management patterns. Maintain current architecture diagrams, standards, roadmaps, architecture decisions, and implementation guardrails. Enterprise Data, Semantic Model & Integration Architecture Own conceptual, logical, physical, canonical, dimensional, and enterprise semantic model standards across policy, claims, provider, patient safety, underwriting, actuarial, and finance domains. Establish Power BI semantic model standards for measures, calculation groups, naming, certified datasets, reuse, refresh, performance, lineage, ownership, and RLS/OLS/CLS. Define data contracts, model versioning, metadata, glossary, master/reference data, ontology, and knowledge-graph alignment. Design secure integrations across Fabric, Azure, operational systems, content platforms, and external providers using APIs, events, CDC, streaming, files, and batch patterns. Engineering Excellence, Governance, Reliability & Cost Establish Git-based delivery, pull-request review, automated testing, CI/CD, environment promotion, release, rollback, observability, incident response, and operational-readiness standards. Define service objectives and telemetry for pipelines, capacities, semantic models, AI services, and critical data products; lead root-cause analysis and durable remediation without blame. Embed least privilege, secrets management, PHI/PII controls, sensitivity, retention, data quality, lineage, auditability, and responsible AI controls into delivery patterns. Forecast, monitor, explain, and optimize platform capacity, compute, storage, licensing, and vendor cost against business value. Strategic Partnership, Communication & Change Leadership Translate strategy and ambiguous business needs into decision-ready options, recommendations, diagrams, roadmaps, staffing plans, and executable work for technical and executive audiences. Partner with Enterprise Architecture, Security, Infrastructure, Governance, Claims, Underwriting, Actuarial, Reporting, Legal/Compliance, Finance, and vendors to resolve tradeoffs and dependencies. Communicate risks early with context, impact, options, and a recommended action; represent decisions with composure, transparency, and sound judgment. Lead adoption of architecture standards and new ways of working through stakeholder engagement, education, measurement, and reinforcement. Learning, Development, & Compliance Maintain full compliance with all organizational policies, procedures, and established standards (e.g. accurately recording time worked, submitting PTO, mandatory corporate training). Keep technical knowledge and skills current to effectively support department priorities. Complete all performance and development activities - including the performance review process - in a timely manner. Fulfill all required training and development obligations to maintain essential skills and credentials. Complete all mandator compliance courses on time, meeting corporate training standards. Pursue additional learning opportunities that strengthen professional capabilities and contribute to team and organizational performance, with prior manager approval. Other Duties as Assigned Maintain full compliance with all organizational policies, procedures, and established standards (e.g. accurately recording time worked, submitting PTO, mandatory corporate training). Keep technical knowledge and skills current to effectively support department priorities. Complete all performance and development activities - including the performance review process - in a timely manner. Fulfill all required training and development obligations to maintain essential skills and credentials. Complete all mandator compliance courses on time, meeting corporate training standards. Pursue additional learning opportunities that strengthen professional capabilities and contribute to team and organizational performance, with prior manager approval. Salary Range: $124,548 - $163,879. This position is eligible for participation in the Company's Short-Term Incentive Plan (STIP), offering additional compensation driven by individual and company performance. Compensation is determined based on factors such as skills, experience, education, and market considerations. We consider factors such as specialized skills, depth of knowledge in the field, and educational background to ensure fair and competitive pay. Salary may also include additional geographic differential for employees working in higher-cost labor markets, including states such as New York and California. While the posted range reflects our anticipated hiring range, we remain open to considering candidates with exceptional qualifications, specialized expertise, or directly relevant experience that may warrant compensation outside of that range. Benefits We offer competitive compensation, an incentive bonus plan, outstanding career opportunities, an exceptional work environment, and an impressive benefits package, which starts with medical, family and bereavement leave; same-sex domestic partner benefits; short- and long-term disability programs; and an employee assistance program. There's more: Health, dental, and vision insurance Health care tax-free spending accounts with a company match 401(k) and Roth IRA with company match, as well as catch-up plans for both Vacation days, sick days, and paid personal days each calendar year (with vacation increases based on length of service) Paid holidays each calendar year Life and travel insurance Tax-free commuter benefits In-person and online learning opportunities Cross-function career opportunities Business casual work environment Time off to volunteer Matching donations to qualifying nonprofit organizations . click apply for full job details
This position is in the office 3 days a week. The Director of Business Insights position is focused on delivering strategic, data-driven insights to support client sales objectives for Walmart and Sam's Club. This role serves as a subject matter expert in retail and consumer data, leveraging syndicated and internal sources to inform business strategies and presentations. Responsibilities include building strong client relationships, coaching and developing team members, and staying current on market trends. The position requires advanced analytical skills and the ability to manage multiple projects while effectively communicating insights that drive results. This position is a hybrid position working 3 days in the office and 2 days at home. Responsibilities Build and maintain relationships with the business managers and clients in the development of strategic plans for managing their portfolios within the assigned Customers. Develop and present strategic and compelling data-driven sales presentations directed towards generating increased sales at the assigned Customers in partnership with the Acosta Group sales team and Client. Serve as subject matter expert in all available data including but not limited to syndicated third party POS and Panel data, customer loyalty data, syndicated data, internal data and systems to generate information in support of strategic discussions. Manages and develops insights and reporting for multiple clients at assigned Customers across multiple categories Develops and shares best practices. Streamlines and develops templates to help standardize best in class analyses across the sales team. Manages, provides mentoring and training functions and assigns the daily activities for one analyst on the Business Insights team. Stay current with all client, customer and consumer trends. Perform other duties as assigned in support of the Walmart HQ team objectives. Qualifications Have a high degree of proficiency in multiple business applications including Excel, Power BI, PowerPoint, Word, Outlook, NIQ Discover/ Circana Unify, NIQ Spectra/ Circana ShopperSights Are curious about drivers of business performance and have a track record of leveraging information to influence merchants into action Can manage multiple projects simultaneously Possess excellent written and verbal communication skills Can demonstrate flexibility and agility, and are able to respond to change, accept ambiguity and adapt to new situations quickly Acosta Group is a collective uniting the most trusted retail, marketing, and foodservice agencies-Acosta, ActionLink, CORE Foodservice, CROSSMARK, Mosaic, Premium Retail Services, and Product Connections. Together, we connect consumers with the brands they love through omnichannel selling, merchandising, brand advocacy, and integrated marketing. We recognize our associates are the foundation of our success. That's why we prioritize your growth, development, and well-being to help you reach your full potential. With programs designed to support a fulfilling work-life balance, we offer opportunities that fit your lifestyle and ambitions-whether you're looking for part-time flexibility or full-time career advancement. Ready for a career path that's as unique as you? Discover your path at Acosta Group! Acosta Group is an equal opportunity employer and will ensure that applicants with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed, please contact . Be sure to include "Applicant Accommodation" in the subject of your email to expedite the request. Acosta Group believes in good faith that the minimum and maximum annual salary or hourly compensation range for this opportunity is accurate and reasonable at the time of posting. The Acosta Group utilizes E-Verify for validating the ability to work in the United States for all job candidates. If you want more information on what this entails and your rights as a job applicant, please use the link provided to access information on our use of E-Verify and your right to work. Employer Resources (e-verify.gov) By applying, you agree to our Privacy Policy and Terms and Conditions of Use.
09/25/2026
Full time
This position is in the office 3 days a week. The Director of Business Insights position is focused on delivering strategic, data-driven insights to support client sales objectives for Walmart and Sam's Club. This role serves as a subject matter expert in retail and consumer data, leveraging syndicated and internal sources to inform business strategies and presentations. Responsibilities include building strong client relationships, coaching and developing team members, and staying current on market trends. The position requires advanced analytical skills and the ability to manage multiple projects while effectively communicating insights that drive results. This position is a hybrid position working 3 days in the office and 2 days at home. Responsibilities Build and maintain relationships with the business managers and clients in the development of strategic plans for managing their portfolios within the assigned Customers. Develop and present strategic and compelling data-driven sales presentations directed towards generating increased sales at the assigned Customers in partnership with the Acosta Group sales team and Client. Serve as subject matter expert in all available data including but not limited to syndicated third party POS and Panel data, customer loyalty data, syndicated data, internal data and systems to generate information in support of strategic discussions. Manages and develops insights and reporting for multiple clients at assigned Customers across multiple categories Develops and shares best practices. Streamlines and develops templates to help standardize best in class analyses across the sales team. Manages, provides mentoring and training functions and assigns the daily activities for one analyst on the Business Insights team. Stay current with all client, customer and consumer trends. Perform other duties as assigned in support of the Walmart HQ team objectives. Qualifications Have a high degree of proficiency in multiple business applications including Excel, Power BI, PowerPoint, Word, Outlook, NIQ Discover/ Circana Unify, NIQ Spectra/ Circana ShopperSights Are curious about drivers of business performance and have a track record of leveraging information to influence merchants into action Can manage multiple projects simultaneously Possess excellent written and verbal communication skills Can demonstrate flexibility and agility, and are able to respond to change, accept ambiguity and adapt to new situations quickly Acosta Group is a collective uniting the most trusted retail, marketing, and foodservice agencies-Acosta, ActionLink, CORE Foodservice, CROSSMARK, Mosaic, Premium Retail Services, and Product Connections. Together, we connect consumers with the brands they love through omnichannel selling, merchandising, brand advocacy, and integrated marketing. We recognize our associates are the foundation of our success. That's why we prioritize your growth, development, and well-being to help you reach your full potential. With programs designed to support a fulfilling work-life balance, we offer opportunities that fit your lifestyle and ambitions-whether you're looking for part-time flexibility or full-time career advancement. Ready for a career path that's as unique as you? Discover your path at Acosta Group! Acosta Group is an equal opportunity employer and will ensure that applicants with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed, please contact . Be sure to include "Applicant Accommodation" in the subject of your email to expedite the request. Acosta Group believes in good faith that the minimum and maximum annual salary or hourly compensation range for this opportunity is accurate and reasonable at the time of posting. The Acosta Group utilizes E-Verify for validating the ability to work in the United States for all job candidates. If you want more information on what this entails and your rights as a job applicant, please use the link provided to access information on our use of E-Verify and your right to work. Employer Resources (e-verify.gov) By applying, you agree to our Privacy Policy and Terms and Conditions of Use.
Career Category Sales & Marketing Operations Job Description Join Amgen's Mission of Serving Patients At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do. Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Associate Director, Commercial Data Science What you will do Let's do this. Let's change the world. In this vital role the Associate Director, Commercial Data Science is responsible for defining and executing the Commercial AI and Advanced Analytics strategy across Amgen's Commercial Business Units. This leader partners with senior commercial, marketing, medical, digital, and technology stakeholders to identify high-value business opportunities where AI and data science can create measurable impact. Rather than serving as an individual contributor, the Associate Director leads teams of data scientists and cross-functional partners to develop scalable AI/ML products and enterprise analytics capabilities that improve commercial performance and ultimately help patients receive the therapies they need. Reporting to the Senior Director, Commercial Data Science, this individual will drive strategy, portfolio prioritization, organizational capability, and business adoption across the Commercial organization. Flexible Commuter role to Thousand Oaks, CA office. You will work on-site a minimum of 2 days a week. Strategic Leadership Execute on the Commercial AI and Advanced Analytics roadmap aligned with brand and enterprise priorities. Partner with Commercial leadership to identify high-value opportunities where AI and advanced analytics can accelerate growth, improve customer engagement, and enhance decision making. Prioritize the Commercial AI/ML portfolio based on business value, strategic alignment, organizational readiness, and expected return on investment. Translate evolving business challenges into scalable capabilities and data products. AI Product & Portfolio Leadership Lead a portfolio of AI, Machine Learning, Generative AI, and advanced analytics initiatives from business strategy through deployment and organizational adoption. Provide technical oversight for predictive modeling, customer targeting, next-best-action, causal inference, optimization, Generative AI, and other advanced analytical capabilities. Guide technical teams in the development of production-grade AI products while ensuring scalability, maintainability, and business impact. Partner with Data Engineering, Digital Technology, and external vendors to operationalize enterprise AI capabilities. Business Partnership & Executive Influence Build trusted partnerships with Brand, Marketing, Sales, Medical, Market Access, and Digital leaders. Communicate complex analytical concepts to executive audiences in a clear, compelling, and business-focused manner. Influence investment decisions by developing business cases, success metrics, and ROI assessments for AI initiatives. Organizational Leadership Lead, coach, and develop a high-performing team of data scientists while fostering a culture of innovation, collaboration, continuous learning, and business partnership. Establish technical standards, best practices, and governance for Commercial Data Science. Champion responsible AI principles, model governance, and ethical AI practices across Commercial. Build organizational capability by mentoring future leaders and developing technical talent. Innovation & Thought Leadership Continuously evaluate emerging AI technologies, industry trends, and external innovations to identify opportunities that create competitive advantage. Represent Commercial Data Science across enterprise initiatives and external collaborations. Foster experimentation while ensuring successful transition from proof-of-concept to enterprise-scale deployment. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a leader with these qualifications. Basic Qualifications: Doctorate degree and 3 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR Master's degree and 7 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR Bachelor's degree and 9 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR Associate's degree and 12 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR High school diploma / GED and 14 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field In addition to meeting at least one of the above requirements, you must have a minimum of 3 years experience directly managing people and/or leadership experience leading teams, projects, programs, or directing the allocation or resources. Your managerial experience may run concurrently with the required technical experience referenced above Preferred Qualifications: Leadership 5+ years leading cross-functional AI, analytics, or data science initiatives that delivered measurable business outcomes. 3+ years of people leadership experience, including coaching and developing technical talent. Demonstrated success influencing executive stakeholders and driving organizational change. AI & Analytics Strategy Deep understanding of AI, Machine Learning, Generative AI, optimization, causal inference, and modern data science methodologies. Experience developing enterprise AI strategies and managing portfolios of analytical products. Proven ability to translate business priorities into scalable analytical solutions. Commercial Business Acumen Bio/Pharmaceutical commercial experience strongly preferred. Experience supporting Commercial strategy, omnichannel engagement, customer targeting, market access, patient analytics, or field effectiveness. Strong understanding of healthcare data including claims, specialty pharmacy, EMR, and commercial datasets. Technical Leadership Experience providing technical direction for cloud-based AI platforms including Databricks, AWS, Azure, or similar technologies. Strong understanding of MLOps, AI product lifecycle management, model governance, and production deployment. Previous hands-on programming experience in Python, R, Scala, Java, or similar languages with the ability to guide technical solution design rather than serve as the primary developer. Communication Strong presence with the ability to simplify complex analytical concepts into strategic business recommendations. Excellent written, verbal, and presentation skills. Demonstrated ability to influence without authority across diverse stakeholder groups. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way. The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan Stock-based long-term incentives Award-winning time-off plans Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies. Apply now and make a lasting impact with the Amgen team. careers . click apply for full job details
09/25/2026
Full time
Career Category Sales & Marketing Operations Job Description Join Amgen's Mission of Serving Patients At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do. Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Associate Director, Commercial Data Science What you will do Let's do this. Let's change the world. In this vital role the Associate Director, Commercial Data Science is responsible for defining and executing the Commercial AI and Advanced Analytics strategy across Amgen's Commercial Business Units. This leader partners with senior commercial, marketing, medical, digital, and technology stakeholders to identify high-value business opportunities where AI and data science can create measurable impact. Rather than serving as an individual contributor, the Associate Director leads teams of data scientists and cross-functional partners to develop scalable AI/ML products and enterprise analytics capabilities that improve commercial performance and ultimately help patients receive the therapies they need. Reporting to the Senior Director, Commercial Data Science, this individual will drive strategy, portfolio prioritization, organizational capability, and business adoption across the Commercial organization. Flexible Commuter role to Thousand Oaks, CA office. You will work on-site a minimum of 2 days a week. Strategic Leadership Execute on the Commercial AI and Advanced Analytics roadmap aligned with brand and enterprise priorities. Partner with Commercial leadership to identify high-value opportunities where AI and advanced analytics can accelerate growth, improve customer engagement, and enhance decision making. Prioritize the Commercial AI/ML portfolio based on business value, strategic alignment, organizational readiness, and expected return on investment. Translate evolving business challenges into scalable capabilities and data products. AI Product & Portfolio Leadership Lead a portfolio of AI, Machine Learning, Generative AI, and advanced analytics initiatives from business strategy through deployment and organizational adoption. Provide technical oversight for predictive modeling, customer targeting, next-best-action, causal inference, optimization, Generative AI, and other advanced analytical capabilities. Guide technical teams in the development of production-grade AI products while ensuring scalability, maintainability, and business impact. Partner with Data Engineering, Digital Technology, and external vendors to operationalize enterprise AI capabilities. Business Partnership & Executive Influence Build trusted partnerships with Brand, Marketing, Sales, Medical, Market Access, and Digital leaders. Communicate complex analytical concepts to executive audiences in a clear, compelling, and business-focused manner. Influence investment decisions by developing business cases, success metrics, and ROI assessments for AI initiatives. Organizational Leadership Lead, coach, and develop a high-performing team of data scientists while fostering a culture of innovation, collaboration, continuous learning, and business partnership. Establish technical standards, best practices, and governance for Commercial Data Science. Champion responsible AI principles, model governance, and ethical AI practices across Commercial. Build organizational capability by mentoring future leaders and developing technical talent. Innovation & Thought Leadership Continuously evaluate emerging AI technologies, industry trends, and external innovations to identify opportunities that create competitive advantage. Represent Commercial Data Science across enterprise initiatives and external collaborations. Foster experimentation while ensuring successful transition from proof-of-concept to enterprise-scale deployment. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a leader with these qualifications. Basic Qualifications: Doctorate degree and 3 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR Master's degree and 7 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR Bachelor's degree and 9 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR Associate's degree and 12 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR High school diploma / GED and 14 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field In addition to meeting at least one of the above requirements, you must have a minimum of 3 years experience directly managing people and/or leadership experience leading teams, projects, programs, or directing the allocation or resources. Your managerial experience may run concurrently with the required technical experience referenced above Preferred Qualifications: Leadership 5+ years leading cross-functional AI, analytics, or data science initiatives that delivered measurable business outcomes. 3+ years of people leadership experience, including coaching and developing technical talent. Demonstrated success influencing executive stakeholders and driving organizational change. AI & Analytics Strategy Deep understanding of AI, Machine Learning, Generative AI, optimization, causal inference, and modern data science methodologies. Experience developing enterprise AI strategies and managing portfolios of analytical products. Proven ability to translate business priorities into scalable analytical solutions. Commercial Business Acumen Bio/Pharmaceutical commercial experience strongly preferred. Experience supporting Commercial strategy, omnichannel engagement, customer targeting, market access, patient analytics, or field effectiveness. Strong understanding of healthcare data including claims, specialty pharmacy, EMR, and commercial datasets. Technical Leadership Experience providing technical direction for cloud-based AI platforms including Databricks, AWS, Azure, or similar technologies. Strong understanding of MLOps, AI product lifecycle management, model governance, and production deployment. Previous hands-on programming experience in Python, R, Scala, Java, or similar languages with the ability to guide technical solution design rather than serve as the primary developer. Communication Strong presence with the ability to simplify complex analytical concepts into strategic business recommendations. Excellent written, verbal, and presentation skills. Demonstrated ability to influence without authority across diverse stakeholder groups. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way. The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan Stock-based long-term incentives Award-winning time-off plans Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies. Apply now and make a lasting impact with the Amgen team. careers . click apply for full job details
Career Category Sales & Marketing Operations Job Description Join Amgen's Mission of Serving Patients At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do. Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Associate Director, Commercial Data Science What you will do Let's do this. Let's change the world. In this vital role the Associate Director, Commercial Data Science is responsible for defining and executing the Commercial AI and Advanced Analytics strategy across Amgen's Commercial Business Units. This leader partners with senior commercial, marketing, medical, digital, and technology stakeholders to identify high-value business opportunities where AI and data science can create measurable impact. Rather than serving as an individual contributor, the Associate Director leads teams of data scientists and cross-functional partners to develop scalable AI/ML products and enterprise analytics capabilities that improve commercial performance and ultimately help patients receive the therapies they need. Reporting to the Senior Director, Commercial Data Science, this individual will drive strategy, portfolio prioritization, organizational capability, and business adoption across the Commercial organization. Flexible Commuter role to Thousand Oaks, CA office. You will work on-site a minimum of 2 days a week. Strategic Leadership Execute on the Commercial AI and Advanced Analytics roadmap aligned with brand and enterprise priorities. Partner with Commercial leadership to identify high-value opportunities where AI and advanced analytics can accelerate growth, improve customer engagement, and enhance decision making. Prioritize the Commercial AI/ML portfolio based on business value, strategic alignment, organizational readiness, and expected return on investment. Translate evolving business challenges into scalable capabilities and data products. AI Product & Portfolio Leadership Lead a portfolio of AI, Machine Learning, Generative AI, and advanced analytics initiatives from business strategy through deployment and organizational adoption. Provide technical oversight for predictive modeling, customer targeting, next-best-action, causal inference, optimization, Generative AI, and other advanced analytical capabilities. Guide technical teams in the development of production-grade AI products while ensuring scalability, maintainability, and business impact. Partner with Data Engineering, Digital Technology, and external vendors to operationalize enterprise AI capabilities. Business Partnership & Executive Influence Build trusted partnerships with Brand, Marketing, Sales, Medical, Market Access, and Digital leaders. Communicate complex analytical concepts to executive audiences in a clear, compelling, and business-focused manner. Influence investment decisions by developing business cases, success metrics, and ROI assessments for AI initiatives. Organizational Leadership Lead, coach, and develop a high-performing team of data scientists while fostering a culture of innovation, collaboration, continuous learning, and business partnership. Establish technical standards, best practices, and governance for Commercial Data Science. Champion responsible AI principles, model governance, and ethical AI practices across Commercial. Build organizational capability by mentoring future leaders and developing technical talent. Innovation & Thought Leadership Continuously evaluate emerging AI technologies, industry trends, and external innovations to identify opportunities that create competitive advantage. Represent Commercial Data Science across enterprise initiatives and external collaborations. Foster experimentation while ensuring successful transition from proof-of-concept to enterprise-scale deployment. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a leader with these qualifications. Basic Qualifications: Doctorate degree and 3 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR Master's degree and 7 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR Bachelor's degree and 9 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR Associate's degree and 12 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR High school diploma / GED and 14 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field In addition to meeting at least one of the above requirements, you must have a minimum of 3 years experience directly managing people and/or leadership experience leading teams, projects, programs, or directing the allocation or resources. Your managerial experience may run concurrently with the required technical experience referenced above Preferred Qualifications: Leadership 5+ years leading cross-functional AI, analytics, or data science initiatives that delivered measurable business outcomes. 3+ years of people leadership experience, including coaching and developing technical talent. Demonstrated success influencing executive stakeholders and driving organizational change. AI & Analytics Strategy Deep understanding of AI, Machine Learning, Generative AI, optimization, causal inference, and modern data science methodologies. Experience developing enterprise AI strategies and managing portfolios of analytical products. Proven ability to translate business priorities into scalable analytical solutions. Commercial Business Acumen Bio/Pharmaceutical commercial experience strongly preferred. Experience supporting Commercial strategy, omnichannel engagement, customer targeting, market access, patient analytics, or field effectiveness. Strong understanding of healthcare data including claims, specialty pharmacy, EMR, and commercial datasets. Technical Leadership Experience providing technical direction for cloud-based AI platforms including Databricks, AWS, Azure, or similar technologies. Strong understanding of MLOps, AI product lifecycle management, model governance, and production deployment. Previous hands-on programming experience in Python, R, Scala, Java, or similar languages with the ability to guide technical solution design rather than serve as the primary developer. Communication Strong presence with the ability to simplify complex analytical concepts into strategic business recommendations. Excellent written, verbal, and presentation skills. Demonstrated ability to influence without authority across diverse stakeholder groups. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way. The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan Stock-based long-term incentives Award-winning time-off plans Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies. Apply now and make a lasting impact with the Amgen team. careers . click apply for full job details
09/25/2026
Full time
Career Category Sales & Marketing Operations Job Description Join Amgen's Mission of Serving Patients At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do. Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Associate Director, Commercial Data Science What you will do Let's do this. Let's change the world. In this vital role the Associate Director, Commercial Data Science is responsible for defining and executing the Commercial AI and Advanced Analytics strategy across Amgen's Commercial Business Units. This leader partners with senior commercial, marketing, medical, digital, and technology stakeholders to identify high-value business opportunities where AI and data science can create measurable impact. Rather than serving as an individual contributor, the Associate Director leads teams of data scientists and cross-functional partners to develop scalable AI/ML products and enterprise analytics capabilities that improve commercial performance and ultimately help patients receive the therapies they need. Reporting to the Senior Director, Commercial Data Science, this individual will drive strategy, portfolio prioritization, organizational capability, and business adoption across the Commercial organization. Flexible Commuter role to Thousand Oaks, CA office. You will work on-site a minimum of 2 days a week. Strategic Leadership Execute on the Commercial AI and Advanced Analytics roadmap aligned with brand and enterprise priorities. Partner with Commercial leadership to identify high-value opportunities where AI and advanced analytics can accelerate growth, improve customer engagement, and enhance decision making. Prioritize the Commercial AI/ML portfolio based on business value, strategic alignment, organizational readiness, and expected return on investment. Translate evolving business challenges into scalable capabilities and data products. AI Product & Portfolio Leadership Lead a portfolio of AI, Machine Learning, Generative AI, and advanced analytics initiatives from business strategy through deployment and organizational adoption. Provide technical oversight for predictive modeling, customer targeting, next-best-action, causal inference, optimization, Generative AI, and other advanced analytical capabilities. Guide technical teams in the development of production-grade AI products while ensuring scalability, maintainability, and business impact. Partner with Data Engineering, Digital Technology, and external vendors to operationalize enterprise AI capabilities. Business Partnership & Executive Influence Build trusted partnerships with Brand, Marketing, Sales, Medical, Market Access, and Digital leaders. Communicate complex analytical concepts to executive audiences in a clear, compelling, and business-focused manner. Influence investment decisions by developing business cases, success metrics, and ROI assessments for AI initiatives. Organizational Leadership Lead, coach, and develop a high-performing team of data scientists while fostering a culture of innovation, collaboration, continuous learning, and business partnership. Establish technical standards, best practices, and governance for Commercial Data Science. Champion responsible AI principles, model governance, and ethical AI practices across Commercial. Build organizational capability by mentoring future leaders and developing technical talent. Innovation & Thought Leadership Continuously evaluate emerging AI technologies, industry trends, and external innovations to identify opportunities that create competitive advantage. Represent Commercial Data Science across enterprise initiatives and external collaborations. Foster experimentation while ensuring successful transition from proof-of-concept to enterprise-scale deployment. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a leader with these qualifications. Basic Qualifications: Doctorate degree and 3 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR Master's degree and 7 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR Bachelor's degree and 9 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR Associate's degree and 12 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR High school diploma / GED and 14 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field In addition to meeting at least one of the above requirements, you must have a minimum of 3 years experience directly managing people and/or leadership experience leading teams, projects, programs, or directing the allocation or resources. Your managerial experience may run concurrently with the required technical experience referenced above Preferred Qualifications: Leadership 5+ years leading cross-functional AI, analytics, or data science initiatives that delivered measurable business outcomes. 3+ years of people leadership experience, including coaching and developing technical talent. Demonstrated success influencing executive stakeholders and driving organizational change. AI & Analytics Strategy Deep understanding of AI, Machine Learning, Generative AI, optimization, causal inference, and modern data science methodologies. Experience developing enterprise AI strategies and managing portfolios of analytical products. Proven ability to translate business priorities into scalable analytical solutions. Commercial Business Acumen Bio/Pharmaceutical commercial experience strongly preferred. Experience supporting Commercial strategy, omnichannel engagement, customer targeting, market access, patient analytics, or field effectiveness. Strong understanding of healthcare data including claims, specialty pharmacy, EMR, and commercial datasets. Technical Leadership Experience providing technical direction for cloud-based AI platforms including Databricks, AWS, Azure, or similar technologies. Strong understanding of MLOps, AI product lifecycle management, model governance, and production deployment. Previous hands-on programming experience in Python, R, Scala, Java, or similar languages with the ability to guide technical solution design rather than serve as the primary developer. Communication Strong presence with the ability to simplify complex analytical concepts into strategic business recommendations. Excellent written, verbal, and presentation skills. Demonstrated ability to influence without authority across diverse stakeholder groups. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way. The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan Stock-based long-term incentives Award-winning time-off plans Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies. Apply now and make a lasting impact with the Amgen team. careers . click apply for full job details
At J.P. Morgan Asset Management, you will help shape how digital data powers decisions across our business. You will join a collaborative, data driven team that is modernizing how we measure, understand and optimize client experiences across our digital ecosystem. As a Marketing Delivery Lead, Vice President, Web Analytics & Data in the Digital Performance team, you will own the end to end web analytics product strategy across public websites, mobile applications and advisor facing tools. You will bring together business stakeholders, product managers, engineering teams, Business Intelligence partners and an external analytics agency to ensure that digital data collection is accurate, scalable and actionable. You will combine deep technical knowledge of digital tracking with strategic thinking to translate data into insights and drive continuous improvement in digital performance. You will also help shape and scale AI powered web data solutions that deliver predictive and intelligent analytics to the business. You combine strategic thinking with a strong technical foundation in digital measurement. You are comfortable writing detailed tracking and data layer specifications, simplifying complex analytics concepts for senior stakeholders and partnering with BI and AI teams to build new data driven capabilities. You are organized, collaborative and able to influence across functions, and you set a high bar for yourself and for external partners in delivering high quality analytics solutions. Job responsibilities Define and own the web analytics product roadmap, aligning data collection and reporting capabilities with broader business goals and digital KPIs, and acting as the web analytics subject matter expert. Partner with marketing, digital and product teams to establish measurement frameworks and tracking models that support decision making. Author and maintain comprehensive technical tracking requirements for web, mobile app and advisor tool environments, including event taxonomies, data layer specifications and tagging standards. Conduct QA and validation of tracking implementations to ensure data accuracy and integrity across all digital properties. Stay current on browser privacy changes, cookie deprecation and consent management frameworks, and adjust tracking strategies to remain compliant and resilient. Manage the day to day relationship with the external web analytics agency, including briefing on requirements, setting delivery timelines and holding the agency accountable for quality and deadlines. Review and approve agency deliverables to ensure implementations align with J.P. Morgan Asset Management data governance and compliance standards. Pull, interpret and present performance reports for websites and apps using Google Analytics and other analytics platforms, translating data into clear, actionable insights for stakeholders. Proactively identify opportunities to improve digital conversion, engagement and user experience by surfacing trends, anomalies and optimization opportunities from analytics data. Collaborate closely with Business Intelligence and data science teams to design and scale AI powered web data solutions, including predictive analytics, opportunity identification and automated optimization recommendations. Required qualifications, capabilities and skills 5+ years of experience in digital analytics, web analytics or analytics product management. Deep hands on expertise with Google Analytics (GA4) and tag management platforms. Strong experience writing technical tracking specifications for websites, mobile applications and complex digital tools. Demonstrated ability to analyze and interpret web performance data and present findings to both technical and non technical audiences. Experience managing external vendors or agencies, including scoping work, managing timelines and ensuring quality delivery. Solid understanding of data layer architecture, event tracking and digital measurement frameworks. Familiarity with AI/ML concepts and experience partnering with data science or BI teams on analytics solutions. Excellent communication, collaboration and stakeholder management skills, with the ability to operate in a fast paced, matrixed environment. Experience in financial services or another highly regulated industry. Hands on experience with AI or machine learning tools applied to web data. Knowledge of data privacy regulations (such as GDPR and CCPA) and their implications for digital tracking. Familiarity with BI and data visualization tools. Experience with Adobe Analytics in addition to Google Analytics. Preferred qualifications, capabilities and skills Experience in financial services or another highly regulated industry. Hands on experience with AI or machine learning tools applied to web data. Knowledge of data privacy regulations (such as GDPR and CCPA) and their implications for digital tracking. Familiarity with BI and data visualization tools. Experience with Adobe Analytics in addition to Google Analytics. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
09/25/2026
Full time
At J.P. Morgan Asset Management, you will help shape how digital data powers decisions across our business. You will join a collaborative, data driven team that is modernizing how we measure, understand and optimize client experiences across our digital ecosystem. As a Marketing Delivery Lead, Vice President, Web Analytics & Data in the Digital Performance team, you will own the end to end web analytics product strategy across public websites, mobile applications and advisor facing tools. You will bring together business stakeholders, product managers, engineering teams, Business Intelligence partners and an external analytics agency to ensure that digital data collection is accurate, scalable and actionable. You will combine deep technical knowledge of digital tracking with strategic thinking to translate data into insights and drive continuous improvement in digital performance. You will also help shape and scale AI powered web data solutions that deliver predictive and intelligent analytics to the business. You combine strategic thinking with a strong technical foundation in digital measurement. You are comfortable writing detailed tracking and data layer specifications, simplifying complex analytics concepts for senior stakeholders and partnering with BI and AI teams to build new data driven capabilities. You are organized, collaborative and able to influence across functions, and you set a high bar for yourself and for external partners in delivering high quality analytics solutions. Job responsibilities Define and own the web analytics product roadmap, aligning data collection and reporting capabilities with broader business goals and digital KPIs, and acting as the web analytics subject matter expert. Partner with marketing, digital and product teams to establish measurement frameworks and tracking models that support decision making. Author and maintain comprehensive technical tracking requirements for web, mobile app and advisor tool environments, including event taxonomies, data layer specifications and tagging standards. Conduct QA and validation of tracking implementations to ensure data accuracy and integrity across all digital properties. Stay current on browser privacy changes, cookie deprecation and consent management frameworks, and adjust tracking strategies to remain compliant and resilient. Manage the day to day relationship with the external web analytics agency, including briefing on requirements, setting delivery timelines and holding the agency accountable for quality and deadlines. Review and approve agency deliverables to ensure implementations align with J.P. Morgan Asset Management data governance and compliance standards. Pull, interpret and present performance reports for websites and apps using Google Analytics and other analytics platforms, translating data into clear, actionable insights for stakeholders. Proactively identify opportunities to improve digital conversion, engagement and user experience by surfacing trends, anomalies and optimization opportunities from analytics data. Collaborate closely with Business Intelligence and data science teams to design and scale AI powered web data solutions, including predictive analytics, opportunity identification and automated optimization recommendations. Required qualifications, capabilities and skills 5+ years of experience in digital analytics, web analytics or analytics product management. Deep hands on expertise with Google Analytics (GA4) and tag management platforms. Strong experience writing technical tracking specifications for websites, mobile applications and complex digital tools. Demonstrated ability to analyze and interpret web performance data and present findings to both technical and non technical audiences. Experience managing external vendors or agencies, including scoping work, managing timelines and ensuring quality delivery. Solid understanding of data layer architecture, event tracking and digital measurement frameworks. Familiarity with AI/ML concepts and experience partnering with data science or BI teams on analytics solutions. Excellent communication, collaboration and stakeholder management skills, with the ability to operate in a fast paced, matrixed environment. Experience in financial services or another highly regulated industry. Hands on experience with AI or machine learning tools applied to web data. Knowledge of data privacy regulations (such as GDPR and CCPA) and their implications for digital tracking. Familiarity with BI and data visualization tools. Experience with Adobe Analytics in addition to Google Analytics. Preferred qualifications, capabilities and skills Experience in financial services or another highly regulated industry. Hands on experience with AI or machine learning tools applied to web data. Knowledge of data privacy regulations (such as GDPR and CCPA) and their implications for digital tracking. Familiarity with BI and data visualization tools. Experience with Adobe Analytics in addition to Google Analytics. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
We take play seriously. We're looking for curious adventurers ready to find their party, fueled by imagination and drive to build what's never been built before. At Hasbro and Wizards of the Coast, you'll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. At Wizards of the Coast, we harness the power of imagination and connection to create unforgettable experiences. We create entertainment that inspires creativity, sparks passion, forges friendships, and fosters communities around the globe. In every pursuit our mission is to inspire a lifetime love of games. Whether it's through the strategic depth of Magic: The Gathering , the rich storytelling of Dungeons & Dragons , or our AAA digital game studios, we build worlds that bring people together, spark creativity, and fuel adventure. As we continue to grow and explore new realms, we're seeking passionate, curious, and innovative minds to join the adventure. We're looking for a Manager, Data Analytics to lead our analytics team and drive data-informed decision-making across our commercial, sales, and go-to-market functions. You'll lead a team of analysts, lead the analytics roadmap, and serve as the connective tissue between business partners and the data organization. This is a people-first leadership role for someone who can mentor and develop talent, champion data quality, and translate complex business problems into clear analytical strategies - while What You'll Do: We rely on our Analytics Manager to build a high-performing team and a culture of curiosity. In this role, you will: Lead and develop a team of business and data analysts, providing coaching, career growth support, and day-to-day guidance. Be responsible for the analytics roadmap for commercial, sales, and go-to-market teams - prioritizing work, managing capacity, and ensuring delivery against business goals. Partner with senior stakeholders to understand business needs and translate them into analytical frameworks, KPIs, and reporting strategies. Oversee the design and delivery of dashboards, models, and data solutions built on Snowflake, dBT, and BI tools like Tableau, Power BI, or Looker. Drive data quality and governance standards in partnership with data engineering and BI teams. Foster cross-functional collaboration across product, finance, engineering, and marketing to ensure analytics is embedded in key decisions. Champion analytical best practices - standardizing methodologies, documentation, and processes across the team. Present findings and recommendations to senior leaders, helping shape planning, forecasting, and go-to-market execution. Develop and implement data strategies that align with our ambitious business goals. Collaborate with cross-functional teams to determine data needs and successfully execute solutions. Ensure data accuracy and integrity through strict quality control measures. Provide world-class analytical support for the global commercial organization. Coordinate the creation and maintenance of data visualizations and dashboards to improve data accessibility and decision-making. What You'll Bring: We're looking for a manager who balances people leadership with technical credibility. 8+ years of experience in data or business analytics, with at least 2-3 years in a people management or team lead role. Bachelor's or Master's degree in Analytics, Data Science, Economics, or a related field (or equivalent experience). Strong SQL skills and familiarity with modern data stack tools (Snowflake, dBT, ETL workflows). Experience with BI platforms such as Tableau, Power BI, or Looker. Proven track record to lead and grow analytical talent - including hiring, performance management, and mentorship. Track record of influencing senior stakeholders and driving alignment across cross-functional teams. Strong understanding of data governance, data quality, and analytical best practices. Excellent communication skills - able to make complex data concepts accessible to non-technical audiences. We know that great analytics managers don't just build reports - they build teams, ask better questions, and create the conditions for others to do their best work.staying close enough to the work to guide technical direction. Why choose Wizards of the Coast? At Wizards of the Coast, we believe in encouraging an environment where everyone feels valued and empowered to bring their whole selves to work. We celebrate diversity and are committed to crafting an inclusive work environment that reflects our global community of players. We offer competitive salaries, comprehensive benefits, and opportunities for professional growth. Join us and be part of a team that's making an impact in the world of gaming! We are an Equal Opportunity / Affirmative Action Employer The above is intended to describe the general content of and the requirements for satisfactory performance in this position. It is not to be construed as an exhaustive statement of the duties, responsibilities, or requirements of the position. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you are selected to move forward in our application process and need to request an accommodation, please let your recruiter or coordinator know. Compensation and benefits may vary based on location and role. At Wizards, we believe in the magic of diversity-great ideas come from unique perspectives. We are committed to building an inclusive, welcoming workplace where everyone belongs. Wizards is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, or any other legally protected status. Wizards will provide reasonable accommodations with the application process, upon your request, as required to comply with applicable laws. If you have a disability and require assistance in this application process, please contact your recruiter or coordinator. The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $125,900-$188,900 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.
09/25/2026
Full time
We take play seriously. We're looking for curious adventurers ready to find their party, fueled by imagination and drive to build what's never been built before. At Hasbro and Wizards of the Coast, you'll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. At Wizards of the Coast, we harness the power of imagination and connection to create unforgettable experiences. We create entertainment that inspires creativity, sparks passion, forges friendships, and fosters communities around the globe. In every pursuit our mission is to inspire a lifetime love of games. Whether it's through the strategic depth of Magic: The Gathering , the rich storytelling of Dungeons & Dragons , or our AAA digital game studios, we build worlds that bring people together, spark creativity, and fuel adventure. As we continue to grow and explore new realms, we're seeking passionate, curious, and innovative minds to join the adventure. We're looking for a Manager, Data Analytics to lead our analytics team and drive data-informed decision-making across our commercial, sales, and go-to-market functions. You'll lead a team of analysts, lead the analytics roadmap, and serve as the connective tissue between business partners and the data organization. This is a people-first leadership role for someone who can mentor and develop talent, champion data quality, and translate complex business problems into clear analytical strategies - while What You'll Do: We rely on our Analytics Manager to build a high-performing team and a culture of curiosity. In this role, you will: Lead and develop a team of business and data analysts, providing coaching, career growth support, and day-to-day guidance. Be responsible for the analytics roadmap for commercial, sales, and go-to-market teams - prioritizing work, managing capacity, and ensuring delivery against business goals. Partner with senior stakeholders to understand business needs and translate them into analytical frameworks, KPIs, and reporting strategies. Oversee the design and delivery of dashboards, models, and data solutions built on Snowflake, dBT, and BI tools like Tableau, Power BI, or Looker. Drive data quality and governance standards in partnership with data engineering and BI teams. Foster cross-functional collaboration across product, finance, engineering, and marketing to ensure analytics is embedded in key decisions. Champion analytical best practices - standardizing methodologies, documentation, and processes across the team. Present findings and recommendations to senior leaders, helping shape planning, forecasting, and go-to-market execution. Develop and implement data strategies that align with our ambitious business goals. Collaborate with cross-functional teams to determine data needs and successfully execute solutions. Ensure data accuracy and integrity through strict quality control measures. Provide world-class analytical support for the global commercial organization. Coordinate the creation and maintenance of data visualizations and dashboards to improve data accessibility and decision-making. What You'll Bring: We're looking for a manager who balances people leadership with technical credibility. 8+ years of experience in data or business analytics, with at least 2-3 years in a people management or team lead role. Bachelor's or Master's degree in Analytics, Data Science, Economics, or a related field (or equivalent experience). Strong SQL skills and familiarity with modern data stack tools (Snowflake, dBT, ETL workflows). Experience with BI platforms such as Tableau, Power BI, or Looker. Proven track record to lead and grow analytical talent - including hiring, performance management, and mentorship. Track record of influencing senior stakeholders and driving alignment across cross-functional teams. Strong understanding of data governance, data quality, and analytical best practices. Excellent communication skills - able to make complex data concepts accessible to non-technical audiences. We know that great analytics managers don't just build reports - they build teams, ask better questions, and create the conditions for others to do their best work.staying close enough to the work to guide technical direction. Why choose Wizards of the Coast? At Wizards of the Coast, we believe in encouraging an environment where everyone feels valued and empowered to bring their whole selves to work. We celebrate diversity and are committed to crafting an inclusive work environment that reflects our global community of players. We offer competitive salaries, comprehensive benefits, and opportunities for professional growth. Join us and be part of a team that's making an impact in the world of gaming! We are an Equal Opportunity / Affirmative Action Employer The above is intended to describe the general content of and the requirements for satisfactory performance in this position. It is not to be construed as an exhaustive statement of the duties, responsibilities, or requirements of the position. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you are selected to move forward in our application process and need to request an accommodation, please let your recruiter or coordinator know. Compensation and benefits may vary based on location and role. At Wizards, we believe in the magic of diversity-great ideas come from unique perspectives. We are committed to building an inclusive, welcoming workplace where everyone belongs. Wizards is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, or any other legally protected status. Wizards will provide reasonable accommodations with the application process, upon your request, as required to comply with applicable laws. If you have a disability and require assistance in this application process, please contact your recruiter or coordinator. The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $125,900-$188,900 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.
We are seeking a Data Architect to provide senior technical leadership in designing and evolving complex, scalable, high-performance data platforms that support advanced analytics, AI/ML, and business intelligence. Leverage deep expertise in Databricks and Azure data ecosystems to define architecture and engineering standards, guide implementation, and ensure solutions are secure, reliable, and built for long-term growth. The Data Architect will shape data strategy, mentor senior engineers, and partner with cross-functional leaders to align technology decisions with business objectives. Responsibilities: Lead the architectural design and development of enterprise-grade data platforms using Databricks, Delta Lake, and Azure Data Services. Define and enforce technical standards, design principles, and best practices across data engineering to promote consistency, reusability, scalability, and maintainability. Architect and optimize modern data warehouse and lakehouse solutions incorporating Snowflake, star schemas, and distributed data systems. Guide the integration of real-time and batch data pipelines to support advanced analytics, ML model training, and reporting use cases. Design and implement secure, compliant, and high-performance data architectures that support data governance, privacy, and access-control standards. Provide technical leadership in implementing infrastructure as code, automated pipeline orchestration, and observability practices. Evaluate emerging data technologies, cloud capabilities, and design patterns, recommending adoption where appropriate. Mentor senior and mid-level data engineers, promote architectural rigor, and foster a culture of continuous learning and technical excellence. Collaborate with data scientists, BI developers, enterprise architects, and business stakeholders to deliver aligned, high-impact solutions. Develop and maintain architectural documentation, including design blueprints, system diagrams, and roadmaps. Lead proof-of-concept efforts, technical deep dives, and architecture reviews to validate approaches and guide high-risk technical decisions. Troubleshoot complex architectural and performance issues within the data ecosystem, ensuring resilience, cost efficiency, and overall system health. Promote modern data architecture practices through internal and external forums, technical presentations, and other knowledge-sharing opportunities. Perform other duties as required. Qualifications: 8-12 years of progressive experience in data engineering, with extensive experience leading the architecture and implementation of large-scale, cloud-native data solutions. Expert-level proficiency with Databricks, including Delta Live Tables, Unity Catalog, and Spark performance tuning, as well as Azure Data Services such as Azure Data Factory and Event Hubs. Mastery of data modeling, data warehousing, and big data processing, including dimensional modeling, streaming architectures, and data lakehouse patterns. Strong understanding of data governance, metadata management, security, and regulatory compliance in cloud environments. Familiarity with modern orchestration tools, infrastructure as code-including Terraform and Azure Resource Manager-and monitoring frameworks. Deep knowledge of Python, SQL, Spark, and distributed data systems. Understanding of how to architect systems that support downstream AI/ML and business intelligence consumption layers. Ability to evaluate emerging tools, cloud features, and frameworks and apply them to evolving business needs. Proven track record of providing technical leadership on high-impact projects, mentoring senior engineers, and influencing enterprise data strategies. Exceptional technical leadership and collaboration skills, with the ability to guide teams and align architecture with business strategy. Advanced architectural design skills focused on performance, scalability, resilience, security, and cost optimization. Strong analytical and problem-solving capabilities, particularly when addressing complex, cross-platform data challenges. Excellent written, verbal, and presentation skills for communicating with technical and non-technical stakeholders. Demonstrated ability to influence strategic direction and drive innovation in a fast-paced, evolving technical environment. Highly organized, with the ability to manage competing priorities across teams and initiatives. Bachelor's degree in computer science, data engineering, information systems, or a related technical field is required; an advanced degree is preferred. Industry certifications such as Databricks Certified Data Engineer Professional, Microsoft Fabric Data Engineer Associate, or Azure Solutions Architect Expert are highly desirable. Founded in 1991, Rooms To Go is one of the largest and fastest growing furniture retailers in the US with over 250 stores in ten southern states, eight distribution centers and an e-commerce business. Rooms To Go offers a collaborative work environment within a supportive culture. Rooms To Go Benefits: Medical, dental, and vision insurance 401(k) with company match Associate discounts including furniture Company paid life and disability insurance Paid time off Employee Assistance Program Wellness Programs And more! Rooms To Go is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws Applicants must be authorized to work in the U.S.
09/25/2026
Full time
We are seeking a Data Architect to provide senior technical leadership in designing and evolving complex, scalable, high-performance data platforms that support advanced analytics, AI/ML, and business intelligence. Leverage deep expertise in Databricks and Azure data ecosystems to define architecture and engineering standards, guide implementation, and ensure solutions are secure, reliable, and built for long-term growth. The Data Architect will shape data strategy, mentor senior engineers, and partner with cross-functional leaders to align technology decisions with business objectives. Responsibilities: Lead the architectural design and development of enterprise-grade data platforms using Databricks, Delta Lake, and Azure Data Services. Define and enforce technical standards, design principles, and best practices across data engineering to promote consistency, reusability, scalability, and maintainability. Architect and optimize modern data warehouse and lakehouse solutions incorporating Snowflake, star schemas, and distributed data systems. Guide the integration of real-time and batch data pipelines to support advanced analytics, ML model training, and reporting use cases. Design and implement secure, compliant, and high-performance data architectures that support data governance, privacy, and access-control standards. Provide technical leadership in implementing infrastructure as code, automated pipeline orchestration, and observability practices. Evaluate emerging data technologies, cloud capabilities, and design patterns, recommending adoption where appropriate. Mentor senior and mid-level data engineers, promote architectural rigor, and foster a culture of continuous learning and technical excellence. Collaborate with data scientists, BI developers, enterprise architects, and business stakeholders to deliver aligned, high-impact solutions. Develop and maintain architectural documentation, including design blueprints, system diagrams, and roadmaps. Lead proof-of-concept efforts, technical deep dives, and architecture reviews to validate approaches and guide high-risk technical decisions. Troubleshoot complex architectural and performance issues within the data ecosystem, ensuring resilience, cost efficiency, and overall system health. Promote modern data architecture practices through internal and external forums, technical presentations, and other knowledge-sharing opportunities. Perform other duties as required. Qualifications: 8-12 years of progressive experience in data engineering, with extensive experience leading the architecture and implementation of large-scale, cloud-native data solutions. Expert-level proficiency with Databricks, including Delta Live Tables, Unity Catalog, and Spark performance tuning, as well as Azure Data Services such as Azure Data Factory and Event Hubs. Mastery of data modeling, data warehousing, and big data processing, including dimensional modeling, streaming architectures, and data lakehouse patterns. Strong understanding of data governance, metadata management, security, and regulatory compliance in cloud environments. Familiarity with modern orchestration tools, infrastructure as code-including Terraform and Azure Resource Manager-and monitoring frameworks. Deep knowledge of Python, SQL, Spark, and distributed data systems. Understanding of how to architect systems that support downstream AI/ML and business intelligence consumption layers. Ability to evaluate emerging tools, cloud features, and frameworks and apply them to evolving business needs. Proven track record of providing technical leadership on high-impact projects, mentoring senior engineers, and influencing enterprise data strategies. Exceptional technical leadership and collaboration skills, with the ability to guide teams and align architecture with business strategy. Advanced architectural design skills focused on performance, scalability, resilience, security, and cost optimization. Strong analytical and problem-solving capabilities, particularly when addressing complex, cross-platform data challenges. Excellent written, verbal, and presentation skills for communicating with technical and non-technical stakeholders. Demonstrated ability to influence strategic direction and drive innovation in a fast-paced, evolving technical environment. Highly organized, with the ability to manage competing priorities across teams and initiatives. Bachelor's degree in computer science, data engineering, information systems, or a related technical field is required; an advanced degree is preferred. Industry certifications such as Databricks Certified Data Engineer Professional, Microsoft Fabric Data Engineer Associate, or Azure Solutions Architect Expert are highly desirable. Founded in 1991, Rooms To Go is one of the largest and fastest growing furniture retailers in the US with over 250 stores in ten southern states, eight distribution centers and an e-commerce business. Rooms To Go offers a collaborative work environment within a supportive culture. Rooms To Go Benefits: Medical, dental, and vision insurance 401(k) with company match Associate discounts including furniture Company paid life and disability insurance Paid time off Employee Assistance Program Wellness Programs And more! Rooms To Go is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws Applicants must be authorized to work in the U.S.
Job DescriptionJob DescriptionDescription: Company Overview: Cedarhurst Senior Living is an experienced operator of independent living, assisted living and memory care communities across the Midwest, Mid-South, and Southeast. Cedarhurst Senior Living is part of the Dover Companies, a vertically integrated healthcare organization established in 2007 to develop, construct, acquire, own, and operate high-quality senior living communities. In addition to Cedarhurst Senior Living, the Dover Companies include Dover Development, Brahms Construction, Dover Capital, Dover Health, and Medicine Express. Cedarhurst Senior Living and the Dover Companies are mission driven - everything we do is grounded in our higher purpose of caring for seniors. Our decision making is informed by our mission "to create communities where each person feels loved, valued, supported and able to live life to the fullest." Each business unit and each team member have a unique ability and responsibility to impact the lives of seniors, and we take that responsibility very seriously. We also embody an entrepreneurial spirit that has fueled our growth and continues to drive us forward. Position Summary: The Website Performance Manager owns the health, performance, and conversion of Cedarhurst's website and community microsites. This position owns the day-to-day management and optimization of the organization's web properties, focused exclusively on the website itself rather than the broader marketing channels. The role localizes and maintains community microsites, owns the performance of the lead-generation tools, builds new web experiences in HubSpot, publishes content directly, and owns the reporting that drives decisions across the portfolio. This position partners with the Director of Digital Marketing, who owns digital strategy, CRM, and the agency relationship, and who sets cross-channel priorities against a fixed agency retainer. Within that frame, this position owns execution and outcomes: deciding what the site needs, building what is handled in-house, directing the agency on the rest, and owning the data that reports performance. Where work runs through the agency, this position diagnoses what is needed, decides the fix, and directs the agency to execute it, bringing only capacity and prioritization tradeoffs to the Director, who manages the agency's retainer and overall channel priorities. Why Work for Cedarhurst: At Cedarhurst, our core values guide how we work together and how we care for those we serve. We expect every team member to be passionate, trustworthy, empathetic, positive, respectful, and approachable. Being part of Cedarhurst means making a meaningful difference every day. We believe our team is our greatest strength. That's why we invest in comprehensive training, as well as opportunities for both personal and professional growth. We're committed to promoting from within and supporting team members who want to build their careers with us. Cedarhurst offers a competitive benefits package, including medical insurance, life insurance, long-term disability coverage, and a 401(k) plan with company match (after one year of service) for eligible employees. Additional Benefits Include: Work that makes a difference in the lives of our residents and community An on-site gym with brand-new equipment A personal trainer offering daily group classes, stretching sessions, and one-on-one training Catered lunches twice a week, prepared by our on-site chef Monthly team events and more Essential Duties: The following duties are normal for this position. This list is not to be construed as exclusive or all-inclusive. Other duties may be required and assigned. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions of this role. Localize and maintain community microsites independently, keeping each discoverable and relevant with local information, events, imagery, and product specifics. Own the performance of the lead-generation tools (assessments, chatbot, gated content): diagnose underperformance, decide the optimization, and direct the agency to implement it, escalating only where work exceeds agency capacity and must be prioritized against other channels. Take content management on agency-built templates in-house, maintaining it independently going forward. Conduct and publish content updates autonomously across all communities. Drive website and landing page performance: analyze trends, diagnose what is underperforming, and decide the optimizations worth pursuing, sequencing agency-dependent work with the Director against retainer capacity. Safeguard the integrity of tagging and attribution: audit how data flows, identify gaps or breaks, and resolve or direct resolution of issues affecting reporting accuracy. Lead community-level local search reviews, compiling location data against high-volume senior living queries, and determining which locations need attention. Define Cedarhurst's emerging AEO and GEO approach, setting the structural standards for how the portfolio shows up in AI-driven and generative search across all web properties; direct cross-functional partners who execute listings, reviews, and PR mentions by providing the data and strategy they need to deliver results. Own the creation of new pages and microsites in HubSpot for new developments, acquisitions, and product extensions, building them out end to end in staged environments with SEO and brand consistency built in, then handing off to the agency for launch and QA. Deliver executive-level performance reporting that drives strategic decisions. Shape Cedarhurst's point of view on how search and discovery are changing, especially AI-driven search, bringing forward recommendations that influence the team's approach. Other duties as assigned. Qualifications, Education and/or Experience: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and abilities required. 5+ years experience in digital marketing or web management, including 3+ years hands-on experience in a CMS. HubSpot CMS experience strongly preferred. Bachelor's degree or equivalent practical experience. Proven experience independently building and maintaining CMS pages, including comfort working in templates, modules, and page structure without developer or agency support. Working knowledge of SEO fundamentals and how on-page structure, metadata, and content affect discoverability, applying best practices by default when building. Strong command of web analytics and reporting, with the ability to navigate HubSpot and GA4 independently. A solid grasp of tagging and attribution, with the ability to independently audit how data flows across the site, identify where it breaks, and resolve or direct the fix. Genuine curiosity about how search and discovery are changing, including AI-driven and generative search (AEO and GEO). Strong attention to detail and follow-through, with ownership of accuracy and timeliness across many communities and pages. Clear communication, with the ability to frame a recommendation, own a concern, and report performance in a way that lands with both peers and executives. Experience with senior living, healthcare, or another regulated, multi-location industry. Familiarity with CRO and A/B testing concepts. Experience working alongside marketing agencies. Working Conditions: As part of the Company's commitment to providing outstanding care and support, it ensures that staff work under conditions that prioritize safety, collaboration, and professional growth. The conditions listed below define the experience of working in the Home Office. This position may involve a range of physical activities, including those outlined in the Essential Duties, but is not limited to them. This position may need to walk or stand for extended periods. This position may need to lift or carry up to twenty (20) pounds. This position may need to move through areas of the home office or other worksites of the organization. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. This role involves actively participating in all staff activities aimed at fostering teamwork, unity, and morale. The individual will contribute as a collaborative team player, working alongside colleagues to create a supportive and cohesive work environment. Individuals in this position are required to stay current on all training and ongoing education initiatives. They are expected to actively pursue self-improvement and embrace opportunities for continuous learning to enhance their skills and knowledge. This position is required to work onsite at the St. Louis Cedarhurst Home Office full time, Monday through Friday. Travel for this position is minimal and limited to occasional company retreats, conferences, and similar events. We are an Equal Opportunity Employer. In compliance with the Americans with Disabilities Act, we will provide reasonable accommodations to qualified individuals with disabilities and encourages prospective employees and incumbents to discuss potential accommodations with the employer. Requirements:
09/24/2026
Full time
Job DescriptionJob DescriptionDescription: Company Overview: Cedarhurst Senior Living is an experienced operator of independent living, assisted living and memory care communities across the Midwest, Mid-South, and Southeast. Cedarhurst Senior Living is part of the Dover Companies, a vertically integrated healthcare organization established in 2007 to develop, construct, acquire, own, and operate high-quality senior living communities. In addition to Cedarhurst Senior Living, the Dover Companies include Dover Development, Brahms Construction, Dover Capital, Dover Health, and Medicine Express. Cedarhurst Senior Living and the Dover Companies are mission driven - everything we do is grounded in our higher purpose of caring for seniors. Our decision making is informed by our mission "to create communities where each person feels loved, valued, supported and able to live life to the fullest." Each business unit and each team member have a unique ability and responsibility to impact the lives of seniors, and we take that responsibility very seriously. We also embody an entrepreneurial spirit that has fueled our growth and continues to drive us forward. Position Summary: The Website Performance Manager owns the health, performance, and conversion of Cedarhurst's website and community microsites. This position owns the day-to-day management and optimization of the organization's web properties, focused exclusively on the website itself rather than the broader marketing channels. The role localizes and maintains community microsites, owns the performance of the lead-generation tools, builds new web experiences in HubSpot, publishes content directly, and owns the reporting that drives decisions across the portfolio. This position partners with the Director of Digital Marketing, who owns digital strategy, CRM, and the agency relationship, and who sets cross-channel priorities against a fixed agency retainer. Within that frame, this position owns execution and outcomes: deciding what the site needs, building what is handled in-house, directing the agency on the rest, and owning the data that reports performance. Where work runs through the agency, this position diagnoses what is needed, decides the fix, and directs the agency to execute it, bringing only capacity and prioritization tradeoffs to the Director, who manages the agency's retainer and overall channel priorities. Why Work for Cedarhurst: At Cedarhurst, our core values guide how we work together and how we care for those we serve. We expect every team member to be passionate, trustworthy, empathetic, positive, respectful, and approachable. Being part of Cedarhurst means making a meaningful difference every day. We believe our team is our greatest strength. That's why we invest in comprehensive training, as well as opportunities for both personal and professional growth. We're committed to promoting from within and supporting team members who want to build their careers with us. Cedarhurst offers a competitive benefits package, including medical insurance, life insurance, long-term disability coverage, and a 401(k) plan with company match (after one year of service) for eligible employees. Additional Benefits Include: Work that makes a difference in the lives of our residents and community An on-site gym with brand-new equipment A personal trainer offering daily group classes, stretching sessions, and one-on-one training Catered lunches twice a week, prepared by our on-site chef Monthly team events and more Essential Duties: The following duties are normal for this position. This list is not to be construed as exclusive or all-inclusive. Other duties may be required and assigned. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions of this role. Localize and maintain community microsites independently, keeping each discoverable and relevant with local information, events, imagery, and product specifics. Own the performance of the lead-generation tools (assessments, chatbot, gated content): diagnose underperformance, decide the optimization, and direct the agency to implement it, escalating only where work exceeds agency capacity and must be prioritized against other channels. Take content management on agency-built templates in-house, maintaining it independently going forward. Conduct and publish content updates autonomously across all communities. Drive website and landing page performance: analyze trends, diagnose what is underperforming, and decide the optimizations worth pursuing, sequencing agency-dependent work with the Director against retainer capacity. Safeguard the integrity of tagging and attribution: audit how data flows, identify gaps or breaks, and resolve or direct resolution of issues affecting reporting accuracy. Lead community-level local search reviews, compiling location data against high-volume senior living queries, and determining which locations need attention. Define Cedarhurst's emerging AEO and GEO approach, setting the structural standards for how the portfolio shows up in AI-driven and generative search across all web properties; direct cross-functional partners who execute listings, reviews, and PR mentions by providing the data and strategy they need to deliver results. Own the creation of new pages and microsites in HubSpot for new developments, acquisitions, and product extensions, building them out end to end in staged environments with SEO and brand consistency built in, then handing off to the agency for launch and QA. Deliver executive-level performance reporting that drives strategic decisions. Shape Cedarhurst's point of view on how search and discovery are changing, especially AI-driven search, bringing forward recommendations that influence the team's approach. Other duties as assigned. Qualifications, Education and/or Experience: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and abilities required. 5+ years experience in digital marketing or web management, including 3+ years hands-on experience in a CMS. HubSpot CMS experience strongly preferred. Bachelor's degree or equivalent practical experience. Proven experience independently building and maintaining CMS pages, including comfort working in templates, modules, and page structure without developer or agency support. Working knowledge of SEO fundamentals and how on-page structure, metadata, and content affect discoverability, applying best practices by default when building. Strong command of web analytics and reporting, with the ability to navigate HubSpot and GA4 independently. A solid grasp of tagging and attribution, with the ability to independently audit how data flows across the site, identify where it breaks, and resolve or direct the fix. Genuine curiosity about how search and discovery are changing, including AI-driven and generative search (AEO and GEO). Strong attention to detail and follow-through, with ownership of accuracy and timeliness across many communities and pages. Clear communication, with the ability to frame a recommendation, own a concern, and report performance in a way that lands with both peers and executives. Experience with senior living, healthcare, or another regulated, multi-location industry. Familiarity with CRO and A/B testing concepts. Experience working alongside marketing agencies. Working Conditions: As part of the Company's commitment to providing outstanding care and support, it ensures that staff work under conditions that prioritize safety, collaboration, and professional growth. The conditions listed below define the experience of working in the Home Office. This position may involve a range of physical activities, including those outlined in the Essential Duties, but is not limited to them. This position may need to walk or stand for extended periods. This position may need to lift or carry up to twenty (20) pounds. This position may need to move through areas of the home office or other worksites of the organization. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. This role involves actively participating in all staff activities aimed at fostering teamwork, unity, and morale. The individual will contribute as a collaborative team player, working alongside colleagues to create a supportive and cohesive work environment. Individuals in this position are required to stay current on all training and ongoing education initiatives. They are expected to actively pursue self-improvement and embrace opportunities for continuous learning to enhance their skills and knowledge. This position is required to work onsite at the St. Louis Cedarhurst Home Office full time, Monday through Friday. Travel for this position is minimal and limited to occasional company retreats, conferences, and similar events. We are an Equal Opportunity Employer. In compliance with the Americans with Disabilities Act, we will provide reasonable accommodations to qualified individuals with disabilities and encourages prospective employees and incumbents to discuss potential accommodations with the employer. Requirements:
Data Analyst Location: Hybrid Nashville, TN Employment Type: Contract with Potential Conversion Compensation: Up to $58/hour Job Summary We are seeking a Data Analyst to join a growing team responsible for delivering data-driven solutions that support business operations, reporting, analytics, and decision-making. This role offers the opportunity to work across the full data lifecycle, including data extraction, transformation, analysis, reporting, dashboard development, and process automation. The ideal candidate will have strong SQL and Python skills and experience working with data pipelines, business intelligence tools, cloud-based data platforms, or reporting solutions. This position is a great fit for someone who enjoys solving business problems through data and wants exposure to both analytics and data engineering initiatives. Responsibilities Analyze, validate, and transform data from multiple internal and external sources. Develop and maintain SQL queries, reports, dashboards, and analytical solutions. Support the design, development, and optimization of ETL/ELT processes and data pipelines. Use Python to automate processes, transform data, and support reporting initiatives. Identify trends, patterns, and insights within large datasets and communicate findings to stakeholders. Build and maintain business intelligence and reporting solutions that support operational and strategic decision-making. Collaborate with business users and technical teams to gather requirements and deliver scalable data solutions. Troubleshoot data quality, reporting, and pipeline issues. Support cloud-based analytics environments and modern data platforms. Contribute to automation, process improvement, and emerging AI-driven initiatives. Ensure data accuracy, governance, and best practices are followed throughout the reporting lifecycle. Required Qualifications 1-5 years of experience in Data Analytics, Business Intelligence, Reporting, Data Engineering, or a related field. Strong SQL skills, including querying, joining, transforming, and validating data. Experience using Python for data analysis, automation, ETL processes, or data transformation. Experience working with relational databases and large datasets. Understanding of data modeling, reporting, and business intelligence concepts. Strong analytical, problem-solving, and critical-thinking skills. Excellent communication and stakeholder interaction skills. Ability to manage multiple priorities in a collaborative environment. Strong attention to detail and commitment to data quality. Preferred Qualifications Experience with any of the following is a plus: Databricks Snowflake Google Cloud Platform (GCP) Looker Sigma Power BI Tableau Streamlit Data Warehousing ETL/ELT Development Business Intelligence Tools Machine Learning or AI-related projects By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
09/24/2026
Full time
Data Analyst Location: Hybrid Nashville, TN Employment Type: Contract with Potential Conversion Compensation: Up to $58/hour Job Summary We are seeking a Data Analyst to join a growing team responsible for delivering data-driven solutions that support business operations, reporting, analytics, and decision-making. This role offers the opportunity to work across the full data lifecycle, including data extraction, transformation, analysis, reporting, dashboard development, and process automation. The ideal candidate will have strong SQL and Python skills and experience working with data pipelines, business intelligence tools, cloud-based data platforms, or reporting solutions. This position is a great fit for someone who enjoys solving business problems through data and wants exposure to both analytics and data engineering initiatives. Responsibilities Analyze, validate, and transform data from multiple internal and external sources. Develop and maintain SQL queries, reports, dashboards, and analytical solutions. Support the design, development, and optimization of ETL/ELT processes and data pipelines. Use Python to automate processes, transform data, and support reporting initiatives. Identify trends, patterns, and insights within large datasets and communicate findings to stakeholders. Build and maintain business intelligence and reporting solutions that support operational and strategic decision-making. Collaborate with business users and technical teams to gather requirements and deliver scalable data solutions. Troubleshoot data quality, reporting, and pipeline issues. Support cloud-based analytics environments and modern data platforms. Contribute to automation, process improvement, and emerging AI-driven initiatives. Ensure data accuracy, governance, and best practices are followed throughout the reporting lifecycle. Required Qualifications 1-5 years of experience in Data Analytics, Business Intelligence, Reporting, Data Engineering, or a related field. Strong SQL skills, including querying, joining, transforming, and validating data. Experience using Python for data analysis, automation, ETL processes, or data transformation. Experience working with relational databases and large datasets. Understanding of data modeling, reporting, and business intelligence concepts. Strong analytical, problem-solving, and critical-thinking skills. Excellent communication and stakeholder interaction skills. Ability to manage multiple priorities in a collaborative environment. Strong attention to detail and commitment to data quality. Preferred Qualifications Experience with any of the following is a plus: Databricks Snowflake Google Cloud Platform (GCP) Looker Sigma Power BI Tableau Streamlit Data Warehousing ETL/ELT Development Business Intelligence Tools Machine Learning or AI-related projects By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description This Product Analyst will be a member of the Value-Added Services division and will be responsible for the continued product development and commercialization of the Visa Data Manager (VDM) products. VDM provides Visa clients access to a best-in-class data warehouse, business analytics, and reporting information related to client payment transactions and cardholder spending habits. The team is responsible for maintaining, enhancing, and developing new products and services that leverage data and automated communications, including the strategic Open Analytics initiative aimed at expanding data accessibility and client self-service capabilities. This role will contribute to developing the VDM product roadmap and priorities, working with technical partners to establish and groom business requirements and delivery schedules. This person will also work closely with regional product partners, sales teams, and key internal stakeholders across teams and functions. Responsibilities include: AI-Assisted Product Development: Leverage AI tools including Claude to accelerate the development of business requirements, working backwards documents, product specifications, and go-to-market materials. Product Priorities and Roadmap: Establish and communicate VDM product priorities and roadmap, including development of a roadmap to enable greater client self-service capabilities within the platform. AI Conversationalist Development: Partner with VDM data engineering teams to support the development and delivery of the AI Conversationalist, a natural language query capability that enables clients to access and explore their portfolio data through conversational interactions. Product User Acceptance: Perform UAT testing on newly released functionality. Operational Excellence: Coordinate cross-functional groups within Visa, including Implementations and Support, to ensure timely management of issues, operational excellence, and accurate reporting data. Client Implementation Support: Partner with implementation teams to onboard new clients to VDM, ensuring a smooth and efficient setup experience and driving time to value. Client Onboarding and Enablement: Develop and maintain user onboarding materials and processes that help clients quickly adopt and maximize the value of the VDM platform. Go-To-Market Activities: Contribute to the development of go-to-market materials for new functionality and new product launches, including sales overview presentations and materials used in client-facing meetings. Sales Support: Provide product expertise and analytical support during client sales conversations, helping to articulate the value of VDM and the Open Analytics strategy to prospective and existing clients. Client Activities: Provide analytical insight and assist clients with the execution of their reporting utilizing the VDM tool. Customer Service Liaison: Serve as the primary product liaison with customer service teams on data-related client questions, ensuring issues are resolved accurately and efficiently. Reporting: Create and maintain product performance reporting and statistics including global and performance dashboards, end-user engagement metrics, feature usage dashboards, KPIs, and OKRs. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Visa will accept applications for this role until at least August 24, 2026. Qualifications Basic Qualifications: 2 or more years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD) Preferred Qualifications: 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) At least 5 years of experience in product management, product analytics, or a related field within financial services, fintech, or payments. Bachelor's degree in Business Administration, Marketing, Finance, Computer Science, Information Systems, Data Science, or a related field. Advanced degree a plus. Experience working with data and analytics platforms, business intelligence tools, or data warehousing solutions. Familiarity with Agile development methodologies and experience grooming and managing product backlogs. Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights and client-facing narratives. Demonstrated ability to work cross-functionally across engineering, sales, and client-facing teams. Experience supporting or leading client implementations, onboarding, or go-to-market activities. Strong written and verbal communication skills with the ability to develop compelling product materials and present to internal and external stakeholders. Exposure to AI, machine learning, or natural language processing concepts is a plus, particularly as they relate to data accessibility and client self-service. Information for US Applicants For roles located in the US, the estimated salary range for this position is $104,600.00 to $ 162,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/24/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description This Product Analyst will be a member of the Value-Added Services division and will be responsible for the continued product development and commercialization of the Visa Data Manager (VDM) products. VDM provides Visa clients access to a best-in-class data warehouse, business analytics, and reporting information related to client payment transactions and cardholder spending habits. The team is responsible for maintaining, enhancing, and developing new products and services that leverage data and automated communications, including the strategic Open Analytics initiative aimed at expanding data accessibility and client self-service capabilities. This role will contribute to developing the VDM product roadmap and priorities, working with technical partners to establish and groom business requirements and delivery schedules. This person will also work closely with regional product partners, sales teams, and key internal stakeholders across teams and functions. Responsibilities include: AI-Assisted Product Development: Leverage AI tools including Claude to accelerate the development of business requirements, working backwards documents, product specifications, and go-to-market materials. Product Priorities and Roadmap: Establish and communicate VDM product priorities and roadmap, including development of a roadmap to enable greater client self-service capabilities within the platform. AI Conversationalist Development: Partner with VDM data engineering teams to support the development and delivery of the AI Conversationalist, a natural language query capability that enables clients to access and explore their portfolio data through conversational interactions. Product User Acceptance: Perform UAT testing on newly released functionality. Operational Excellence: Coordinate cross-functional groups within Visa, including Implementations and Support, to ensure timely management of issues, operational excellence, and accurate reporting data. Client Implementation Support: Partner with implementation teams to onboard new clients to VDM, ensuring a smooth and efficient setup experience and driving time to value. Client Onboarding and Enablement: Develop and maintain user onboarding materials and processes that help clients quickly adopt and maximize the value of the VDM platform. Go-To-Market Activities: Contribute to the development of go-to-market materials for new functionality and new product launches, including sales overview presentations and materials used in client-facing meetings. Sales Support: Provide product expertise and analytical support during client sales conversations, helping to articulate the value of VDM and the Open Analytics strategy to prospective and existing clients. Client Activities: Provide analytical insight and assist clients with the execution of their reporting utilizing the VDM tool. Customer Service Liaison: Serve as the primary product liaison with customer service teams on data-related client questions, ensuring issues are resolved accurately and efficiently. Reporting: Create and maintain product performance reporting and statistics including global and performance dashboards, end-user engagement metrics, feature usage dashboards, KPIs, and OKRs. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Visa will accept applications for this role until at least August 24, 2026. Qualifications Basic Qualifications: 2 or more years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD) Preferred Qualifications: 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) At least 5 years of experience in product management, product analytics, or a related field within financial services, fintech, or payments. Bachelor's degree in Business Administration, Marketing, Finance, Computer Science, Information Systems, Data Science, or a related field. Advanced degree a plus. Experience working with data and analytics platforms, business intelligence tools, or data warehousing solutions. Familiarity with Agile development methodologies and experience grooming and managing product backlogs. Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights and client-facing narratives. Demonstrated ability to work cross-functionally across engineering, sales, and client-facing teams. Experience supporting or leading client implementations, onboarding, or go-to-market activities. Strong written and verbal communication skills with the ability to develop compelling product materials and present to internal and external stakeholders. Exposure to AI, machine learning, or natural language processing concepts is a plus, particularly as they relate to data accessibility and client self-service. Information for US Applicants For roles located in the US, the estimated salary range for this position is $104,600.00 to $ 162,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description The Sr. Data & Insights Consultant is responsible for providing data, reporting, and advanced insights to enable service design, process evaluation, strategic planning, and business management decisions. This role defines insights relevant to Visa stakeholders and curates data, using statistical analysis and tools to interpret and analyze information to generate actionable insights. The consultant publishes insights in accessible formats for internal and external stakeholders and advocates for data-driven decision making across the organization. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. Key Responsibilities: Deliver actionable insights by turning large volumes of data into business value for Visa clients and stakeholders. Collaborate with internal and external stakeholders to manage and enhance reporting solutions, ensuring a single source of truth for insights and facts. Develop and deploy automated processes for insight delivery, including self-serve functionality for leaders at corridor, market, and region levels. Lead client-facing initiatives and consulting projects to optimize authorization performance, utilizing subject matter expertise in the Auth space. Build and maintain management reporting dashboards and scorecards, establishing a cadence of reporting across executive stakeholders. Coordinate with reporting teams to align on common reports, definitions, and data sources across markets. Assess, monitor, and enhance service level agreements (SLAs), ensuring compliance and continuous improvement. Oversee preparation and delivery of detailed product/SLA level reporting, presenting actionable insights to technical and non-technical stakeholders. Identify opportunities for service enhancement, process optimization, and risk mitigation, driving adoption of best practices. This role is a Hybrid position to be located in our Austin or Atlanta office locations. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor's Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD. Experience in data visualization software (e.g., Tableau, QlikView, PowerBI). Experience in analytics with a focus on data visualization. Experience leading design discovery meetings with end-users. Experience working in big data environments. Experience working in an Agile or fast-paced and dynamic environment. Experience with SQL and understanding of data modeling concepts such as Star Schemas/Snowflake. Foundational knowledge of probability and statistics. Experience managing multiple projects and priorities with attention to detail and accuracy. Experience in service level management, SLA reporting, or similar roles within technology-driven environments. Bachelors degree in a STEM field. Advanced experience with visualization software, preferably Tableau. In-depth knowledge of interactive data visualization best practices. Strong SQL skills and understanding of data modeling concepts. Proven experience in SLA assessment, data analysis, and reporting. Experience working in a matrixed organization and adapting to a fast-paced work environment. Information for US Applicants For roles located in the US, the estimated salary range for this position is $127,300 to $216,100 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/24/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description The Sr. Data & Insights Consultant is responsible for providing data, reporting, and advanced insights to enable service design, process evaluation, strategic planning, and business management decisions. This role defines insights relevant to Visa stakeholders and curates data, using statistical analysis and tools to interpret and analyze information to generate actionable insights. The consultant publishes insights in accessible formats for internal and external stakeholders and advocates for data-driven decision making across the organization. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. Key Responsibilities: Deliver actionable insights by turning large volumes of data into business value for Visa clients and stakeholders. Collaborate with internal and external stakeholders to manage and enhance reporting solutions, ensuring a single source of truth for insights and facts. Develop and deploy automated processes for insight delivery, including self-serve functionality for leaders at corridor, market, and region levels. Lead client-facing initiatives and consulting projects to optimize authorization performance, utilizing subject matter expertise in the Auth space. Build and maintain management reporting dashboards and scorecards, establishing a cadence of reporting across executive stakeholders. Coordinate with reporting teams to align on common reports, definitions, and data sources across markets. Assess, monitor, and enhance service level agreements (SLAs), ensuring compliance and continuous improvement. Oversee preparation and delivery of detailed product/SLA level reporting, presenting actionable insights to technical and non-technical stakeholders. Identify opportunities for service enhancement, process optimization, and risk mitigation, driving adoption of best practices. This role is a Hybrid position to be located in our Austin or Atlanta office locations. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor's Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD. Experience in data visualization software (e.g., Tableau, QlikView, PowerBI). Experience in analytics with a focus on data visualization. Experience leading design discovery meetings with end-users. Experience working in big data environments. Experience working in an Agile or fast-paced and dynamic environment. Experience with SQL and understanding of data modeling concepts such as Star Schemas/Snowflake. Foundational knowledge of probability and statistics. Experience managing multiple projects and priorities with attention to detail and accuracy. Experience in service level management, SLA reporting, or similar roles within technology-driven environments. Bachelors degree in a STEM field. Advanced experience with visualization software, preferably Tableau. In-depth knowledge of interactive data visualization best practices. Strong SQL skills and understanding of data modeling concepts. Proven experience in SLA assessment, data analysis, and reporting. Experience working in a matrixed organization and adapting to a fast-paced work environment. Information for US Applicants For roles located in the US, the estimated salary range for this position is $127,300 to $216,100 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details