This job is with Novartis, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Summary Reporting to the VP, Applied AI, Data Science, and Commercial Intelligence, the Executive Director, Semantic and Knowledge Engineering leads the strategy, architecture, and implementation of the enterprise semantic layer and knowledge engineering capabilities that power NovaOS. This role is responsible for creating a trusted, reusable knowledge foundation that connects data, business concepts, ontologies, taxonomies, and AI agents to enable consistent reasoning, interoperability, and scalable enterprise intelligence. The ideal location for this role is East Hanover but remote work may be possible (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. If associate is remote, all home office expenses and any travel/lodging to specific East Hanover for periodic live meetings will be at the employee's expense. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 10% travel. About the Role Key Responsibilities: Define and execute the enterprise strategy for semantic technologies, knowledge engineering, and knowledge graph capabilities. Lead the development and governance of enterprise ontologies, taxonomies, business vocabularies, and semantic models that establish a shared understanding across the organization. Design and implement the enterprise semantic layer that enables trusted AI, consistent analytics, interoperability, and reusable business knowledge. Partner with Applied AI, Data Science, Product Management, Engineering, and Business teams to embed semantic capabilities into NovaOS products and AI solutions. Establish governance, metadata management, knowledge lifecycle processes, and quality standards for enterprise knowledge assets. Drive innovation in knowledge graphs, retrieval-augmented generation (RAG), semantic search, reasoning engines, and AI-enabled knowledge management. Build and lead a high-performing team of semantic engineers, ontology specialists, and knowledge engineers while fostering technical excellence and innovation. Essential Requirements: Education: • Bachelor's or advanced degree in Computer Science, Information Science, Artificial Intelligence, Data Science, Bioinformatics, or a related discipline. 10+ years of experience in semantic technologies, knowledge engineering, enterprise architecture, data management, or AI platforms, including leadership experience. Deep expertise with ontologies, taxonomies, metadata, RDF/OWL, knowledge graphs, graph databases, semantic web technologies, and enterprise information architecture. Experience building enterprise semantic platforms that enable AI, analytics, search, and data interoperability at scale. Exceptional leadership, executive communication, and cross-functional stakeholder management skills. Desirable Requirements: Experience applying semantic technologies to generative AI, agentic AI, RAG, and enterprise AI platforms. Experience in pharmaceutical, healthcare, or other highly regulated industries. Novartis Compensation Summary: The salary for this position is expected to range between $225,400 and $418,600 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients' lives. Ready to create a brighter future together? Benefits and Rewards: Learn about all the ways we'll help you thrive personally and professionally. Read our handbook (PDF 30 MB) EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility & Reasonable Accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to email protected or call + and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
10/26/2026
Full time
This job is with Novartis, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Summary Reporting to the VP, Applied AI, Data Science, and Commercial Intelligence, the Executive Director, Semantic and Knowledge Engineering leads the strategy, architecture, and implementation of the enterprise semantic layer and knowledge engineering capabilities that power NovaOS. This role is responsible for creating a trusted, reusable knowledge foundation that connects data, business concepts, ontologies, taxonomies, and AI agents to enable consistent reasoning, interoperability, and scalable enterprise intelligence. The ideal location for this role is East Hanover but remote work may be possible (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. If associate is remote, all home office expenses and any travel/lodging to specific East Hanover for periodic live meetings will be at the employee's expense. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 10% travel. About the Role Key Responsibilities: Define and execute the enterprise strategy for semantic technologies, knowledge engineering, and knowledge graph capabilities. Lead the development and governance of enterprise ontologies, taxonomies, business vocabularies, and semantic models that establish a shared understanding across the organization. Design and implement the enterprise semantic layer that enables trusted AI, consistent analytics, interoperability, and reusable business knowledge. Partner with Applied AI, Data Science, Product Management, Engineering, and Business teams to embed semantic capabilities into NovaOS products and AI solutions. Establish governance, metadata management, knowledge lifecycle processes, and quality standards for enterprise knowledge assets. Drive innovation in knowledge graphs, retrieval-augmented generation (RAG), semantic search, reasoning engines, and AI-enabled knowledge management. Build and lead a high-performing team of semantic engineers, ontology specialists, and knowledge engineers while fostering technical excellence and innovation. Essential Requirements: Education: • Bachelor's or advanced degree in Computer Science, Information Science, Artificial Intelligence, Data Science, Bioinformatics, or a related discipline. 10+ years of experience in semantic technologies, knowledge engineering, enterprise architecture, data management, or AI platforms, including leadership experience. Deep expertise with ontologies, taxonomies, metadata, RDF/OWL, knowledge graphs, graph databases, semantic web technologies, and enterprise information architecture. Experience building enterprise semantic platforms that enable AI, analytics, search, and data interoperability at scale. Exceptional leadership, executive communication, and cross-functional stakeholder management skills. Desirable Requirements: Experience applying semantic technologies to generative AI, agentic AI, RAG, and enterprise AI platforms. Experience in pharmaceutical, healthcare, or other highly regulated industries. Novartis Compensation Summary: The salary for this position is expected to range between $225,400 and $418,600 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients' lives. Ready to create a brighter future together? Benefits and Rewards: Learn about all the ways we'll help you thrive personally and professionally. Read our handbook (PDF 30 MB) EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility & Reasonable Accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to email protected or call + and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
This job is with Gilead Sciences Inc., an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID 19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. Join Gilead and help create possible, together. Director, Data/AI Product Owner, Research As part of our enterprise AI strategy to accelerate discovery and development of life changing therapies, we are seeking a Director, Data/AI Product Owner (Research) to lead AI/data product strategy across Research and Translation Sciences (Discovery, Preclinical, Translational, and Early Development). In this leadership role, you will define and drive a portfolio-level product vision and strategy, shaping how AI is applied to transform scientific workflows, accelerate decision-making, and improve research productivity. You will serve as a strategic partner to senior scientific and functional leaders. Serving as the primary liaison between stakeholders and technical teams, you will translate ambiguous and evolving Research needs into a clear, prioritized product roadmap, define success metrics tied to measurable business outcomes and influence both near-term delivery and longer-range data and AI platform evolution. As the IT product owner, you will own the product vision, roadmap and stakeholder engagement for AI-enabled reporting, planning and analytics use cases while understanding the technical architecture required to deliver solutions. Reporting to the Senior Director, Data & AI, you will oversee a portfolio of AI-enabled products and guide cross-functional teams in delivering high-value solutions. This position is based in Foster City, CA (hybrid eligible). Key Responsibilities Define and lead product strategy and multi-year roadmap for AI-enabled research capabilities. Partner with senior Research leaders to identify high-impact AI opportunities, identify pain points, and advanced analytics opportunities, and develop compelling business cases Lead and mentor Product Owners and Product Managers. Prioritize the product backlog based on business value, risk, technical feasibility, and alignment with enterprise data and AI strategy. Establish and scale product operating model for consistency in delivery. Translate business objectives into clear product requirements and backlog items, incorporating data architecture, platform constraints, and scalability considerations. Own the end to end product vision and multi year roadmap for a portfolio of AI-enabled capabilities for Research decision-support, balancing enterprise priorities, platform constraints and value realization. Align solutions with data architecture, AI/ML capabilities, and platforms. Define and track success metrics such as cost reduction, productivity gains, user adoption, and satisfaction; use insights to guide continuous improvement. Drive change management and user adoption, including designing for user experience, stakeholder communications, training strategies, and feedback loops. Own the vendor and partner strategy for product support, including external development capacity and AI/LLM capabilities, in coordination with IT and Procurement. Identify gaps between current state capabilities and target state solutions, influencing Databricks, AWS, and data platform evolution in partnership with technical leaders. Serve as a trusted advisor to research leadership, applying strong business and financial acumen to evaluate trade offs and recommend data and AI driven solutions. Key Skills & Experience Bachelor's with 12+ years or Master's/PhD with 10+ years in relevant field. Deep understanding of drug discovery and development. Demonstrated experience as a Product Owner or Product Manager, with a strong track record of translating business needs into scalable data and AI solutions. Strong stakeholder management and influence skills, including the ability to operate as a trusted advisor to senior research leaders. Demonstrated business and financial acumen with the ability to evaluate ROI, cost-to-value trade-offs and long-term platform investments. Solid understanding of data and AI architecture concepts, with the ability to discuss design options and trade offs with engineering and data science teams. Familiarity modern data platforms such as Databricks and AWS. Proven experience working in Agile/Scrum environments, using metrics driven approaches to guide prioritization and delivery. Optional Differentiators Experience with AI/ML in drug discovery. Exposure to generative AI use cases. Familiarity with scientific platforms (ELN, Assay Management, Scientific Research, LIMS, HPC systems). The salary range for this position is: $226,185.00 - $292,710.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans . For additional benefits information, visit: Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans. For jobs in the United States: Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex , age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact for assistance. For more information about equal employment opportunity protections, please view the 'Know Your Rights' poster. NOTICE: EMPLOYEE POLYGRAPH PROTECTION ACT YOUR RIGHTS UNDER THE FAMILY AND MEDICAL LEAVE ACT Gilead Sciences will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, (c) consistent with the legal duty to furnish information; or (d) otherwise protected by law. Our environment respects individual differences and recognizes each employee as an integral member of our company . click apply for full job details
10/26/2026
Full time
This job is with Gilead Sciences Inc., an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID 19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. Join Gilead and help create possible, together. Director, Data/AI Product Owner, Research As part of our enterprise AI strategy to accelerate discovery and development of life changing therapies, we are seeking a Director, Data/AI Product Owner (Research) to lead AI/data product strategy across Research and Translation Sciences (Discovery, Preclinical, Translational, and Early Development). In this leadership role, you will define and drive a portfolio-level product vision and strategy, shaping how AI is applied to transform scientific workflows, accelerate decision-making, and improve research productivity. You will serve as a strategic partner to senior scientific and functional leaders. Serving as the primary liaison between stakeholders and technical teams, you will translate ambiguous and evolving Research needs into a clear, prioritized product roadmap, define success metrics tied to measurable business outcomes and influence both near-term delivery and longer-range data and AI platform evolution. As the IT product owner, you will own the product vision, roadmap and stakeholder engagement for AI-enabled reporting, planning and analytics use cases while understanding the technical architecture required to deliver solutions. Reporting to the Senior Director, Data & AI, you will oversee a portfolio of AI-enabled products and guide cross-functional teams in delivering high-value solutions. This position is based in Foster City, CA (hybrid eligible). Key Responsibilities Define and lead product strategy and multi-year roadmap for AI-enabled research capabilities. Partner with senior Research leaders to identify high-impact AI opportunities, identify pain points, and advanced analytics opportunities, and develop compelling business cases Lead and mentor Product Owners and Product Managers. Prioritize the product backlog based on business value, risk, technical feasibility, and alignment with enterprise data and AI strategy. Establish and scale product operating model for consistency in delivery. Translate business objectives into clear product requirements and backlog items, incorporating data architecture, platform constraints, and scalability considerations. Own the end to end product vision and multi year roadmap for a portfolio of AI-enabled capabilities for Research decision-support, balancing enterprise priorities, platform constraints and value realization. Align solutions with data architecture, AI/ML capabilities, and platforms. Define and track success metrics such as cost reduction, productivity gains, user adoption, and satisfaction; use insights to guide continuous improvement. Drive change management and user adoption, including designing for user experience, stakeholder communications, training strategies, and feedback loops. Own the vendor and partner strategy for product support, including external development capacity and AI/LLM capabilities, in coordination with IT and Procurement. Identify gaps between current state capabilities and target state solutions, influencing Databricks, AWS, and data platform evolution in partnership with technical leaders. Serve as a trusted advisor to research leadership, applying strong business and financial acumen to evaluate trade offs and recommend data and AI driven solutions. Key Skills & Experience Bachelor's with 12+ years or Master's/PhD with 10+ years in relevant field. Deep understanding of drug discovery and development. Demonstrated experience as a Product Owner or Product Manager, with a strong track record of translating business needs into scalable data and AI solutions. Strong stakeholder management and influence skills, including the ability to operate as a trusted advisor to senior research leaders. Demonstrated business and financial acumen with the ability to evaluate ROI, cost-to-value trade-offs and long-term platform investments. Solid understanding of data and AI architecture concepts, with the ability to discuss design options and trade offs with engineering and data science teams. Familiarity modern data platforms such as Databricks and AWS. Proven experience working in Agile/Scrum environments, using metrics driven approaches to guide prioritization and delivery. Optional Differentiators Experience with AI/ML in drug discovery. Exposure to generative AI use cases. Familiarity with scientific platforms (ELN, Assay Management, Scientific Research, LIMS, HPC systems). The salary range for this position is: $226,185.00 - $292,710.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans . For additional benefits information, visit: Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans. For jobs in the United States: Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex , age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact for assistance. For more information about equal employment opportunity protections, please view the 'Know Your Rights' poster. NOTICE: EMPLOYEE POLYGRAPH PROTECTION ACT YOUR RIGHTS UNDER THE FAMILY AND MEDICAL LEAVE ACT Gilead Sciences will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, (c) consistent with the legal duty to furnish information; or (d) otherwise protected by law. Our environment respects individual differences and recognizes each employee as an integral member of our company . click apply for full job details
Job Description Description As the Reporting & Analytics Development Project Manager, you will be responsible for driving execution, accountability, and predictability across a portfolio of analytics and Tableau dashboard initiatives. This role owns intake, requirement coordination, project planning, milestones, and stakeholder communication. Working closely with Ambulatory Transformation & Performance Leadership, BI Developers, Clinical, Operational and Administrative Stakeholders, ensures that requests move predictably from intake through prioritization, development, UAT and go-live. The Project Manager will ensure work is delivered on time and aligned to operational priorities. While this is primarily a project management role , the Project Manager is expected to be analytics literate and, when needed, able to help answer operational questions using existing Reporting & Analytics dashboards and curated data sources. This capability helps improve responsiveness to stakeholders and protects BI developer capacity. Salary Range: $100,170- $218,715 Annual Qualifications Required: Project management certificate and / or quality assurance processes like Six Sigma or Lean or equivalent project management experience required. 5-7 years of experience in project or program management in healthcare, preferably supporting analytics, BI, operations, or technology teams. Experience gathering and documenting business requirements and managing scope. Experience running Agile ceremonies (e.g., sprint planning, stand-ups, retrospectives). Minimum 2+ years of hands on experience developing interactive dashboards, and visualizations using Tableau Desktop and Tableau Server. Demonstrated ability to manage multiple concurrent projects with competing priorities and deadlines.
10/26/2026
Full time
Job Description Description As the Reporting & Analytics Development Project Manager, you will be responsible for driving execution, accountability, and predictability across a portfolio of analytics and Tableau dashboard initiatives. This role owns intake, requirement coordination, project planning, milestones, and stakeholder communication. Working closely with Ambulatory Transformation & Performance Leadership, BI Developers, Clinical, Operational and Administrative Stakeholders, ensures that requests move predictably from intake through prioritization, development, UAT and go-live. The Project Manager will ensure work is delivered on time and aligned to operational priorities. While this is primarily a project management role , the Project Manager is expected to be analytics literate and, when needed, able to help answer operational questions using existing Reporting & Analytics dashboards and curated data sources. This capability helps improve responsiveness to stakeholders and protects BI developer capacity. Salary Range: $100,170- $218,715 Annual Qualifications Required: Project management certificate and / or quality assurance processes like Six Sigma or Lean or equivalent project management experience required. 5-7 years of experience in project or program management in healthcare, preferably supporting analytics, BI, operations, or technology teams. Experience gathering and documenting business requirements and managing scope. Experience running Agile ceremonies (e.g., sprint planning, stand-ups, retrospectives). Minimum 2+ years of hands on experience developing interactive dashboards, and visualizations using Tableau Desktop and Tableau Server. Demonstrated ability to manage multiple concurrent projects with competing priorities and deadlines.
This job is with Novartis, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Summary The ideal location for this role is East Hanover, NJ site but remote work may be possible (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. If associate is remote, all home office expenses and any travel/lodging to specific East Hanover, NJ site for periodic live meetings will be at the employee's expense. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 15% travel. 1 role - KPI Governance & Councils 1 role - Governance Platforms 1 role - Data Access & Security Job description summary If you are energized by building new capabilities, bringing clarity to complex data environments, and helping Novartis use data responsibly and confidently, we invite you to apply. We are hiring three (3) Associate Director, Data Governance Solutions Leads to join the Data Governance Solutions team within Strategy, Platforms & Transformation (SPT). Together, these leaders will help build and scale enterprise governance capabilities that make data easier to understand, access, protect, and use with confidence. Candidates may be considered for one of the three specializations that most closely align with their experience and technical background. 1.KPI Governance & Councils: In this role, you will establish and lead enterprise approaches for defining, managing, and governing key performance indicators. You will help create a consistent source of truth for metrics and strengthen how leaders evaluate business performance. 2.Governance Platforms: Build-and-run owner for the Data governance platform. This person stands up the Data Governance platform as the unified system of record for catalog, lineage, glossary, and data contracts, then keeps it healthy in production. Directly enables the Data Command Center's data pipeline-health, observability, and incident-management panels. 3.Data Access & Security: Operates fine-grained, policy-based (attribute/purpose-based) access control across Novartis data layers. This role is responsible for enabling and scaling fine-grained data access controls in production for both Humans and AI agents. About the Role Key Responsibilities: Provide strategic and operational leadership for a key enterprise data governance capability, translating business priorities and data strategy into scalable solutions. Help define, implement, and continuously improve governance frameworks, operating models, policies, standards, controls, and decision rights. Partner with business leaders, data owners, technology teams, analytics functions, privacy, legal, security, and compliance stakeholders to align governance priorities and drive adoption. Establish clear ownership, accountability, and escalation paths for governance decisions, risks, issues, and remediation activities. Support the execution of the enterprise data strategy and the development of Data Command Center capabilities by improving visibility into data health, access, performance, and governance. Lead cross-functional forums, working groups, or implementation activities that enable timely decisions and measurable outcomes. Develop meaningful reporting, scorecards, and performance indicators that communicate governance maturity, adoption, risk, and operational health to senior stakeholders. Manage relationships with external vendors and implementation partners, including scope, deliverables, milestones, quality, risks, and budget considerations. Identify opportunities to simplify governance processes, strengthen controls, improve user experience, and accelerate responsible access to trusted data. Champion a practical, collaborative governance culture that balances business enablement, innovation, risk management, and regulatory expectations. Essential Requirements: Education: Bachelor's degree in Business Administration, Information Systems, Data Management, Engineering, Finance, or a related field. KPI Governance & Councils / Governance Platforms Roles Minimum 8+ years in data platform engineering or data governance tooling; hands-on experience standing up a catalog/governance platform from scratch (Collate /OpenMetadata, Atlan, Collibra, or Alation). Preferred in Pharma or Life Sciences industries Strong SQL and working knowledge of Snowflake; experience integrating catalog tools with cloud data warehouses. Understanding of data lineage, metadata management, and data-contract concepts (ODCS or equivalent). Experience managing implementation vendors/surge teams against scope and timeline. Comfortable operating in an ambiguous, build-phase environment and turning a target-state diagram into running infrastructure. Data Access & Security Role Minimum 8+ years in data access governance, identity & access management, or data security within a regulated industry. Preferred in Pharma or Life Sciences industries Hands-on experience with Immuta (or equivalent policy-based access tools - Privacera, Satori) and Snowflake RBAC/row-column security. Working knowledge of HIPAA, GDPR, and pharma-specific compliance regimes (OIG, Sunshine Act, 340B) as they affect data access design. Experience designing access frameworks for non-human/agent identities is a strong plus given the agentic AI direction of this program. Comfortable operating at the intersection of engineering, legal, and compliance. Novartis Compensation Summary: The salary for this position is expected to range between $145,600.00 and $270,400.00 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients' lives. Ready to create a brighter future together? Benefits and Rewards: Learn about all the ways we'll help you thrive personally and professionally. Read our handbook (PDF 30 MB) EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility & Reasonable Accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to email protected or call + and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
10/26/2026
Full time
This job is with Novartis, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Summary The ideal location for this role is East Hanover, NJ site but remote work may be possible (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. If associate is remote, all home office expenses and any travel/lodging to specific East Hanover, NJ site for periodic live meetings will be at the employee's expense. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 15% travel. 1 role - KPI Governance & Councils 1 role - Governance Platforms 1 role - Data Access & Security Job description summary If you are energized by building new capabilities, bringing clarity to complex data environments, and helping Novartis use data responsibly and confidently, we invite you to apply. We are hiring three (3) Associate Director, Data Governance Solutions Leads to join the Data Governance Solutions team within Strategy, Platforms & Transformation (SPT). Together, these leaders will help build and scale enterprise governance capabilities that make data easier to understand, access, protect, and use with confidence. Candidates may be considered for one of the three specializations that most closely align with their experience and technical background. 1.KPI Governance & Councils: In this role, you will establish and lead enterprise approaches for defining, managing, and governing key performance indicators. You will help create a consistent source of truth for metrics and strengthen how leaders evaluate business performance. 2.Governance Platforms: Build-and-run owner for the Data governance platform. This person stands up the Data Governance platform as the unified system of record for catalog, lineage, glossary, and data contracts, then keeps it healthy in production. Directly enables the Data Command Center's data pipeline-health, observability, and incident-management panels. 3.Data Access & Security: Operates fine-grained, policy-based (attribute/purpose-based) access control across Novartis data layers. This role is responsible for enabling and scaling fine-grained data access controls in production for both Humans and AI agents. About the Role Key Responsibilities: Provide strategic and operational leadership for a key enterprise data governance capability, translating business priorities and data strategy into scalable solutions. Help define, implement, and continuously improve governance frameworks, operating models, policies, standards, controls, and decision rights. Partner with business leaders, data owners, technology teams, analytics functions, privacy, legal, security, and compliance stakeholders to align governance priorities and drive adoption. Establish clear ownership, accountability, and escalation paths for governance decisions, risks, issues, and remediation activities. Support the execution of the enterprise data strategy and the development of Data Command Center capabilities by improving visibility into data health, access, performance, and governance. Lead cross-functional forums, working groups, or implementation activities that enable timely decisions and measurable outcomes. Develop meaningful reporting, scorecards, and performance indicators that communicate governance maturity, adoption, risk, and operational health to senior stakeholders. Manage relationships with external vendors and implementation partners, including scope, deliverables, milestones, quality, risks, and budget considerations. Identify opportunities to simplify governance processes, strengthen controls, improve user experience, and accelerate responsible access to trusted data. Champion a practical, collaborative governance culture that balances business enablement, innovation, risk management, and regulatory expectations. Essential Requirements: Education: Bachelor's degree in Business Administration, Information Systems, Data Management, Engineering, Finance, or a related field. KPI Governance & Councils / Governance Platforms Roles Minimum 8+ years in data platform engineering or data governance tooling; hands-on experience standing up a catalog/governance platform from scratch (Collate /OpenMetadata, Atlan, Collibra, or Alation). Preferred in Pharma or Life Sciences industries Strong SQL and working knowledge of Snowflake; experience integrating catalog tools with cloud data warehouses. Understanding of data lineage, metadata management, and data-contract concepts (ODCS or equivalent). Experience managing implementation vendors/surge teams against scope and timeline. Comfortable operating in an ambiguous, build-phase environment and turning a target-state diagram into running infrastructure. Data Access & Security Role Minimum 8+ years in data access governance, identity & access management, or data security within a regulated industry. Preferred in Pharma or Life Sciences industries Hands-on experience with Immuta (or equivalent policy-based access tools - Privacera, Satori) and Snowflake RBAC/row-column security. Working knowledge of HIPAA, GDPR, and pharma-specific compliance regimes (OIG, Sunshine Act, 340B) as they affect data access design. Experience designing access frameworks for non-human/agent identities is a strong plus given the agentic AI direction of this program. Comfortable operating at the intersection of engineering, legal, and compliance. Novartis Compensation Summary: The salary for this position is expected to range between $145,600.00 and $270,400.00 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients' lives. Ready to create a brighter future together? Benefits and Rewards: Learn about all the ways we'll help you thrive personally and professionally. Read our handbook (PDF 30 MB) EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility & Reasonable Accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to email protected or call + and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Job Family: Technology Consulting Travel Required: Up to 10% Clearance Required: Active Secret What You Will Do: Lead planning, execution, and delivery of technical projects across data, analytics, and system implementation workstreams. Coordi nate between client stakeholders, technical teams, and leadership. Define project scope, timelines, milestones, and resource requirements aligned to client objectives. Monitor day-to-day project activities, ensuring deliverables are completed on time and within budget. Facilitate Agile ceremonies or project status meetings, including sprint planning, stand-ups, and retrospectives. Identify , track, and mitigate risks, issues, and dependencies across multiple workstreams. Translate business requirements into actionable tasks and technical requirements for delivery teams. Drive stakeholder engagement, providing clear status updates, executive briefings, and performance reports. Ensure adherence to governance, compliance, and quality standards throughout the project lifecycle . Support change management efforts, including user adoption, training coordination, and transition planning. What You Will Need: An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance Bachelor's degree FIVE (5) or more years of experience managing technical projects in a consulting, government, or enterprise environment Experience leading cross-functional teams including developers, data engineers, and business analysts Experience tracking budgets, managing resources, and forecasting project delivery timelines Ability to work onsite in a client environment as required What Would Be Nice To Have: PMP, Certified Scrum Master (CSM), PMI-ACP, or other relevant certification (preferred) Experience supporting Navy clients or familiarity with Navy operations, systems, or organizational structures (preferred) Strong understanding of project management methodologies (Agile, Scrum, Waterfall, or hybrid approaches) Proven ability to manage complex projects involving data platforms, system integrations, or analytics solutions Hands-on experience using Jira for project tracking, backlog management, and workflow coordination Demonstrated ability to manage multiple priorities and deadlines in a fast-paced environment Strong client-facing experience with the ability to communicate effectively with both technical and non-technical stakeholders What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
10/26/2026
Full time
Job Family: Technology Consulting Travel Required: Up to 10% Clearance Required: Active Secret What You Will Do: Lead planning, execution, and delivery of technical projects across data, analytics, and system implementation workstreams. Coordi nate between client stakeholders, technical teams, and leadership. Define project scope, timelines, milestones, and resource requirements aligned to client objectives. Monitor day-to-day project activities, ensuring deliverables are completed on time and within budget. Facilitate Agile ceremonies or project status meetings, including sprint planning, stand-ups, and retrospectives. Identify , track, and mitigate risks, issues, and dependencies across multiple workstreams. Translate business requirements into actionable tasks and technical requirements for delivery teams. Drive stakeholder engagement, providing clear status updates, executive briefings, and performance reports. Ensure adherence to governance, compliance, and quality standards throughout the project lifecycle . Support change management efforts, including user adoption, training coordination, and transition planning. What You Will Need: An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance Bachelor's degree FIVE (5) or more years of experience managing technical projects in a consulting, government, or enterprise environment Experience leading cross-functional teams including developers, data engineers, and business analysts Experience tracking budgets, managing resources, and forecasting project delivery timelines Ability to work onsite in a client environment as required What Would Be Nice To Have: PMP, Certified Scrum Master (CSM), PMI-ACP, or other relevant certification (preferred) Experience supporting Navy clients or familiarity with Navy operations, systems, or organizational structures (preferred) Strong understanding of project management methodologies (Agile, Scrum, Waterfall, or hybrid approaches) Proven ability to manage complex projects involving data platforms, system integrations, or analytics solutions Hands-on experience using Jira for project tracking, backlog management, and workflow coordination Demonstrated ability to manage multiple priorities and deadlines in a fast-paced environment Strong client-facing experience with the ability to communicate effectively with both technical and non-technical stakeholders What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
Machine Learning Engineer 4 (Manager, IC) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years of experience optimizing ML algorithms, configurations, and infrastructure 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans. 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
10/26/2026
Full time
Machine Learning Engineer 4 (Manager, IC) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years of experience optimizing ML algorithms, configurations, and infrastructure 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans. 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Machine Learning Engineer 4 (Manager, IC) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years of experience optimizing ML algorithms, configurations, and infrastructure 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans. 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
10/26/2026
Full time
Machine Learning Engineer 4 (Manager, IC) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years of experience optimizing ML algorithms, configurations, and infrastructure 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans. 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Job Family: Technology Consulting Travel Required: Up to 10% Clearance Required: Active Secret What You Will Do: Lead planning, execution, and delivery of technical projects across data, analytics, and system implementation workstreams. Coordi nate between client stakeholders, technical teams, and leadership. Define project scope, timelines, milestones, and resource requirements aligned to client objectives. Monitor day-to-day project activities, ensuring deliverables are completed on time and within budget. Facilitate Agile ceremonies or project status meetings, including sprint planning, stand-ups, and retrospectives. Identify , track, and mitigate risks, issues, and dependencies across multiple workstreams. Translate business requirements into actionable tasks and technical requirements for delivery teams. Drive stakeholder engagement, providing clear status updates, executive briefings, and performance reports. Ensure adherence to governance, compliance, and quality standards throughout the project lifecycle . Support change management efforts, including user adoption, training coordination, and transition planning. What You Will Need: An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance Bachelor's degree FIVE (5) or more years of experience managing technical projects in a consulting, government, or enterprise environment Experience leading cross-functional teams including developers, data engineers, and business analysts Experience tracking budgets, managing resources, and forecasting project delivery timelines Ability to work onsite in a client environment as required What Would Be Nice To Have: PMP, Certified Scrum Master (CSM), PMI-ACP, or other relevant certification (preferred) Experience supporting Navy clients or familiarity with Navy operations, systems, or organizational structures (preferred) Strong understanding of project management methodologies (Agile, Scrum, Waterfall, or hybrid approaches) Proven ability to manage complex projects involving data platforms, system integrations, or analytics solutions Hands-on experience using Jira for project tracking, backlog management, and workflow coordination Demonstrated ability to manage multiple priorities and deadlines in a fast-paced environment Strong client-facing experience with the ability to communicate effectively with both technical and non-technical stakeholders What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
10/26/2026
Full time
Job Family: Technology Consulting Travel Required: Up to 10% Clearance Required: Active Secret What You Will Do: Lead planning, execution, and delivery of technical projects across data, analytics, and system implementation workstreams. Coordi nate between client stakeholders, technical teams, and leadership. Define project scope, timelines, milestones, and resource requirements aligned to client objectives. Monitor day-to-day project activities, ensuring deliverables are completed on time and within budget. Facilitate Agile ceremonies or project status meetings, including sprint planning, stand-ups, and retrospectives. Identify , track, and mitigate risks, issues, and dependencies across multiple workstreams. Translate business requirements into actionable tasks and technical requirements for delivery teams. Drive stakeholder engagement, providing clear status updates, executive briefings, and performance reports. Ensure adherence to governance, compliance, and quality standards throughout the project lifecycle . Support change management efforts, including user adoption, training coordination, and transition planning. What You Will Need: An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance Bachelor's degree FIVE (5) or more years of experience managing technical projects in a consulting, government, or enterprise environment Experience leading cross-functional teams including developers, data engineers, and business analysts Experience tracking budgets, managing resources, and forecasting project delivery timelines Ability to work onsite in a client environment as required What Would Be Nice To Have: PMP, Certified Scrum Master (CSM), PMI-ACP, or other relevant certification (preferred) Experience supporting Navy clients or familiarity with Navy operations, systems, or organizational structures (preferred) Strong understanding of project management methodologies (Agile, Scrum, Waterfall, or hybrid approaches) Proven ability to manage complex projects involving data platforms, system integrations, or analytics solutions Hands-on experience using Jira for project tracking, backlog management, and workflow coordination Demonstrated ability to manage multiple priorities and deadlines in a fast-paced environment Strong client-facing experience with the ability to communicate effectively with both technical and non-technical stakeholders What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
Job Description Job Description Please Note: This is a Utah-based hybrid position which will require some regular in-office days each week. Additionally, employment with BambooHR is contingent on passing both a background and credit check. AI at BambooHR At BambooHR, we're all about setting people free to do great work, and we believe AI is a powerful partner in that mission. We're leaning into intelligent tools to streamline our workflows, giving us more time for high-impact innovation. We look for curious, forward-thinking people who are ready to explore how AI can elevate their work and help us reimagine the future of HR. Essential Job Duties The Senior Digital Analyst II helps BambooHR understand and optimize the digital customer journey across our website, marketing funnel, and digital experiences. This role partners closely with Marketing, Web, Demand Gen, Business Intelligence, and agency teams to deliver strategic insights, improve measurement capabilities, and support data-driven decisions that drive business performance. A typical day in this role may include analyzing customer behavior and conversion trends, supporting experimentation and optimization initiatives, improving first-party data and lead tracking strategies, and evaluating the impact of evolving AI-driven search and discovery trends. This role is ideal for someone who enjoys combining analytical problem-solving, strategic thinking, and cross-functional collaboration to influence digital strategy and customer experience. You will: Lead analysis of digital customer journeys across acquisition, engagement, and conversion funnels to identify optimization opportunities and influence business performance. Partner cross-functionally with Marketing, Web, Demand Gen, Product Marketing, Business Intelligence, and agency teams to define KPIs, measurement strategies, and success metrics for digital initiatives. Support and evolve first-party data strategies, lead tracking, and digital measurement frameworks to improve visibility into customer behavior and marketing performance. Deliver strategic insights and recommendations related to website performance, conversion behavior, customer engagement, and digital experience optimization. Support experimentation and testing initiatives across landing pages, chatbot experiences, messaging, and digital optimization programs. Help define measurement approaches and testing frameworks related to AI-driven search behavior, AI Overviews (AIO), LLM impacts, and evolving organic discovery trends. Monitor shifts in digital acquisition behavior and recommend strategies to improve visibility, engagement, and conversion performance in an increasingly AI-driven marketing environment. Partner with Business Intelligence teams to improve data quality, scalable reporting capabilities, and self-service analytics solutions. Support strategic planning, quarterly business reviews, and executive discussions through analytical storytelling and actionable business insights. Operate independently in ambiguous environments, proactively identifying opportunities, risks, and emerging trends across digital analytics and customer behavior. What You Need to Get the Job Done: Bachelor's degree in Analytics, Marketing, Business, Statistics, Economics, Information Systems, or related field preferred. 5+ years of experience in digital analytics, marketing analytics, web analytics, or related analytical roles with increasing strategic scope and business influence. Deep experience with web analytics platforms such as Adobe Analytics, Google Analytics, or similar enterprise analytics tools. Strong experience analyzing digital funnels, customer journeys, lead behavior, and conversion performance within B2B SaaS or digital-first environments. Demonstrated ability to influence business decisions and provide strategic recommendations through data-driven insights and analytical storytelling. Experience developing scalable measurement frameworks, attribution approaches, and first-party data strategies. Strong understanding of digital tracking methodologies, customer behavior analytics, and marketing performance measurement. Experience leading analytical support for experimentation, optimization, or digital testing initiatives. Ability to operate independently and navigate ambiguity while managing multiple strategic priorities in a fast-paced environment. Strong stakeholder management and communication skills with experience partnering cross-functionally and presenting insights to senior leaders. Proficiency in AI, SQL, Excel, and BI/reporting platforms with the ability to independently analyze and synthesize large datasets. Strong analytical rigor, intellectual curiosity, and ability to proactively identify opportunities for optimization and business impact. What Would Make Us REALLY Love You: Experience supporting B2B SaaS marketing organizations with complex digital acquisition strategies. Familiarity with AI search trends, AI Overviews (AIO), LLM-driven discovery behavior, and evolving SEO/organic measurement strategies. Experience partnering with agencies and influencing external vendor analytics strategy and performance measurement approaches. Exposure to experimentation frameworks, incrementality methodologies, or advanced marketing measurement approaches. Experience influencing digital strategy, customer journey optimization, or conversion-focused business initiatives. Familiarity with CRM ecosystems such as Salesforce and lead lifecycle analytics frameworks. What You'll Love About Us A Great Company Culture that has been recognized by multiple organizations like Inc, and Salt Lake Tribune Comprehensive health, life, and disability insurance Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life 401k plans with up to 6% company match $2000 Paid-Paid Vacation bonus EAP through Headspace Check out all our benefits that benefit you About Us At BambooHR, we're building something different: we're building a people intelligence platform that transforms HR and sets people free to do great work! We're a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you'll find a place that champions growth: both professional and personal, both individual and collective. We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office. What sets us apart isn't just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better for everyone, while we make work better for you. BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process. If you would like to request accommodations, please let your recruiter know. BambooHR is An Equal Opportunity Employer M/F/D/V Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired. For information on California Privacy Policy, click here. Our process utilizes AI as an assistant to efficiently process and analyze candidate data. Recruiters and hiring managers maintain full oversight and accountability, ensuring that all final selection and rejection decisions are human-made and based solely on objective job qualifications. Please see our General Privacy Notice and California Privacy Notice for more details. See our AI Guidelines for Candidates for details on how BambooHR uses AI in recruiting, how we expect candidates to use AI, and what is not allowed.
10/26/2026
Full time
Job Description Job Description Please Note: This is a Utah-based hybrid position which will require some regular in-office days each week. Additionally, employment with BambooHR is contingent on passing both a background and credit check. AI at BambooHR At BambooHR, we're all about setting people free to do great work, and we believe AI is a powerful partner in that mission. We're leaning into intelligent tools to streamline our workflows, giving us more time for high-impact innovation. We look for curious, forward-thinking people who are ready to explore how AI can elevate their work and help us reimagine the future of HR. Essential Job Duties The Senior Digital Analyst II helps BambooHR understand and optimize the digital customer journey across our website, marketing funnel, and digital experiences. This role partners closely with Marketing, Web, Demand Gen, Business Intelligence, and agency teams to deliver strategic insights, improve measurement capabilities, and support data-driven decisions that drive business performance. A typical day in this role may include analyzing customer behavior and conversion trends, supporting experimentation and optimization initiatives, improving first-party data and lead tracking strategies, and evaluating the impact of evolving AI-driven search and discovery trends. This role is ideal for someone who enjoys combining analytical problem-solving, strategic thinking, and cross-functional collaboration to influence digital strategy and customer experience. You will: Lead analysis of digital customer journeys across acquisition, engagement, and conversion funnels to identify optimization opportunities and influence business performance. Partner cross-functionally with Marketing, Web, Demand Gen, Product Marketing, Business Intelligence, and agency teams to define KPIs, measurement strategies, and success metrics for digital initiatives. Support and evolve first-party data strategies, lead tracking, and digital measurement frameworks to improve visibility into customer behavior and marketing performance. Deliver strategic insights and recommendations related to website performance, conversion behavior, customer engagement, and digital experience optimization. Support experimentation and testing initiatives across landing pages, chatbot experiences, messaging, and digital optimization programs. Help define measurement approaches and testing frameworks related to AI-driven search behavior, AI Overviews (AIO), LLM impacts, and evolving organic discovery trends. Monitor shifts in digital acquisition behavior and recommend strategies to improve visibility, engagement, and conversion performance in an increasingly AI-driven marketing environment. Partner with Business Intelligence teams to improve data quality, scalable reporting capabilities, and self-service analytics solutions. Support strategic planning, quarterly business reviews, and executive discussions through analytical storytelling and actionable business insights. Operate independently in ambiguous environments, proactively identifying opportunities, risks, and emerging trends across digital analytics and customer behavior. What You Need to Get the Job Done: Bachelor's degree in Analytics, Marketing, Business, Statistics, Economics, Information Systems, or related field preferred. 5+ years of experience in digital analytics, marketing analytics, web analytics, or related analytical roles with increasing strategic scope and business influence. Deep experience with web analytics platforms such as Adobe Analytics, Google Analytics, or similar enterprise analytics tools. Strong experience analyzing digital funnels, customer journeys, lead behavior, and conversion performance within B2B SaaS or digital-first environments. Demonstrated ability to influence business decisions and provide strategic recommendations through data-driven insights and analytical storytelling. Experience developing scalable measurement frameworks, attribution approaches, and first-party data strategies. Strong understanding of digital tracking methodologies, customer behavior analytics, and marketing performance measurement. Experience leading analytical support for experimentation, optimization, or digital testing initiatives. Ability to operate independently and navigate ambiguity while managing multiple strategic priorities in a fast-paced environment. Strong stakeholder management and communication skills with experience partnering cross-functionally and presenting insights to senior leaders. Proficiency in AI, SQL, Excel, and BI/reporting platforms with the ability to independently analyze and synthesize large datasets. Strong analytical rigor, intellectual curiosity, and ability to proactively identify opportunities for optimization and business impact. What Would Make Us REALLY Love You: Experience supporting B2B SaaS marketing organizations with complex digital acquisition strategies. Familiarity with AI search trends, AI Overviews (AIO), LLM-driven discovery behavior, and evolving SEO/organic measurement strategies. Experience partnering with agencies and influencing external vendor analytics strategy and performance measurement approaches. Exposure to experimentation frameworks, incrementality methodologies, or advanced marketing measurement approaches. Experience influencing digital strategy, customer journey optimization, or conversion-focused business initiatives. Familiarity with CRM ecosystems such as Salesforce and lead lifecycle analytics frameworks. What You'll Love About Us A Great Company Culture that has been recognized by multiple organizations like Inc, and Salt Lake Tribune Comprehensive health, life, and disability insurance Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life 401k plans with up to 6% company match $2000 Paid-Paid Vacation bonus EAP through Headspace Check out all our benefits that benefit you About Us At BambooHR, we're building something different: we're building a people intelligence platform that transforms HR and sets people free to do great work! We're a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you'll find a place that champions growth: both professional and personal, both individual and collective. We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office. What sets us apart isn't just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better for everyone, while we make work better for you. BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process. If you would like to request accommodations, please let your recruiter know. BambooHR is An Equal Opportunity Employer M/F/D/V Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired. For information on California Privacy Policy, click here. Our process utilizes AI as an assistant to efficiently process and analyze candidate data. Recruiters and hiring managers maintain full oversight and accountability, ensuring that all final selection and rejection decisions are human-made and based solely on objective job qualifications. Please see our General Privacy Notice and California Privacy Notice for more details. See our AI Guidelines for Candidates for details on how BambooHR uses AI in recruiting, how we expect candidates to use AI, and what is not allowed.
Job Description Job Description Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries. Job Description Overview Experian's Fraud Analytics & Commercialization operates across four main functions. These include client engagement analytics, scalable and custom analytics for financial institutions, fraud analytics consulting, and solution integrity and enablement for production-ready platforms. We're looking for a motivated Data Scientist to help build fraud detection models and features that identify high-risk activity while minimizing friction for legitimate customers. Core skills for this role include strategic thinking, an eagerness to collaborate, and empathy. You will will dig into surprising signals in the data and to learn how that insight becomes a deployed model. You will help investigate the latest fraud patterns, build features, and train and evaluate machine learning models. You will work with senior data scientists and engineers starting with problem definition through feature engineering, experimentation, and deployment. You will be a developing programmer, ready to translate theoretical principles into production-ready solutions. We continue to sharpen through research and the engineering that turns those findings into tools and systems built for commercialization. This is a remote role and you will report into the Sr. Manager of Fraud Analytics. What you'll do Explore complex datasets, with guidance from senior team members, to identify fraud patterns, attack methods, and behavioral signals. Work with senior data scientists to translate fraud questions into testable hypotheses Help build machine learning models for fraud detection across account opening, account takeover, and identity risk. Evaluate models using both technical and business metrics, such as precision, recall, fraud capture rate, false-positive rate, and customer friction. Develop and validate features using identity, transactional, behavioral, and other available data sources. Write clean, well-tested code, and work with engineering to bring models and features into production. Partner with the score monitoring team to help set up model and feature monitoring, and support research on related client questions. Help prepare analyses and communicate findings to both technical and nontechnical audiences. Apply Experian's standards for data privacy, model documentation, explainability, validation, and governance. Qualifications 1+ years of experience in data science, machine learning, statistical modeling, or a related quantitative field Bachelor's or advanced degree in computer science, statistics, mathematics, economics, engineering, data science, or another quantitative discipline Foundation in supervised learning, model evaluation, feature selection, statistical inference, and techniques such as classification and anomaly detection. Proficiency in Python, with the ability to write clean, readable, and well-tested code. Familiarity with common data science and machine-learning tools such as pandas, NumPy, and scikit-learn. Investigative mindset and the ability to move from unusual data patterns to testable hypotheses. Familiarity with PySpark, cloud platforms such as Amazon Web Services, Google Cloud, Azure, Databricks, and Snowflake, or other large-scale data tools. Exposure to financial services, FinTech, payments, or another regulated or fraud-intensive industry, through coursework, internship, or prior work. Additional Information Benefits/Perks: Great compensation package and bonus plan Core benefits including medical, dental, vision, and matching 401K Flexible work environment, ability to work remote, hybrid or in-office Flexible time off including volunteer time off, vacation, sick and 12-paid holidays Explore all our exciting benefits here: -index.html Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose-driven culture is multi award-winning. We have won World's Best Workplaces 2025 (Fortune Global Top 25), and Great Place To Work in 26 countries to name a few. Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. Our compensation reflects the cost of labor across several U.S. geographic markets. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be eligible for a variable pay opportunity and a comprehensive benefits package. Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
10/26/2026
Full time
Job Description Job Description Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries. Job Description Overview Experian's Fraud Analytics & Commercialization operates across four main functions. These include client engagement analytics, scalable and custom analytics for financial institutions, fraud analytics consulting, and solution integrity and enablement for production-ready platforms. We're looking for a motivated Data Scientist to help build fraud detection models and features that identify high-risk activity while minimizing friction for legitimate customers. Core skills for this role include strategic thinking, an eagerness to collaborate, and empathy. You will will dig into surprising signals in the data and to learn how that insight becomes a deployed model. You will help investigate the latest fraud patterns, build features, and train and evaluate machine learning models. You will work with senior data scientists and engineers starting with problem definition through feature engineering, experimentation, and deployment. You will be a developing programmer, ready to translate theoretical principles into production-ready solutions. We continue to sharpen through research and the engineering that turns those findings into tools and systems built for commercialization. This is a remote role and you will report into the Sr. Manager of Fraud Analytics. What you'll do Explore complex datasets, with guidance from senior team members, to identify fraud patterns, attack methods, and behavioral signals. Work with senior data scientists to translate fraud questions into testable hypotheses Help build machine learning models for fraud detection across account opening, account takeover, and identity risk. Evaluate models using both technical and business metrics, such as precision, recall, fraud capture rate, false-positive rate, and customer friction. Develop and validate features using identity, transactional, behavioral, and other available data sources. Write clean, well-tested code, and work with engineering to bring models and features into production. Partner with the score monitoring team to help set up model and feature monitoring, and support research on related client questions. Help prepare analyses and communicate findings to both technical and nontechnical audiences. Apply Experian's standards for data privacy, model documentation, explainability, validation, and governance. Qualifications 1+ years of experience in data science, machine learning, statistical modeling, or a related quantitative field Bachelor's or advanced degree in computer science, statistics, mathematics, economics, engineering, data science, or another quantitative discipline Foundation in supervised learning, model evaluation, feature selection, statistical inference, and techniques such as classification and anomaly detection. Proficiency in Python, with the ability to write clean, readable, and well-tested code. Familiarity with common data science and machine-learning tools such as pandas, NumPy, and scikit-learn. Investigative mindset and the ability to move from unusual data patterns to testable hypotheses. Familiarity with PySpark, cloud platforms such as Amazon Web Services, Google Cloud, Azure, Databricks, and Snowflake, or other large-scale data tools. Exposure to financial services, FinTech, payments, or another regulated or fraud-intensive industry, through coursework, internship, or prior work. Additional Information Benefits/Perks: Great compensation package and bonus plan Core benefits including medical, dental, vision, and matching 401K Flexible work environment, ability to work remote, hybrid or in-office Flexible time off including volunteer time off, vacation, sick and 12-paid holidays Explore all our exciting benefits here: -index.html Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose-driven culture is multi award-winning. We have won World's Best Workplaces 2025 (Fortune Global Top 25), and Great Place To Work in 26 countries to name a few. Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. Our compensation reflects the cost of labor across several U.S. geographic markets. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be eligible for a variable pay opportunity and a comprehensive benefits package. Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Enterprise Bank & Trust seeks a Sales Analyst to turn sales and financial data into insights that drive growth across our community-focused finance and insurance portfolio. In this role, you'll analyze pipelines, revenue trends, and product performance, prepare dashboards and forecasts, and support relationship managers with actionable recommendations. You'll partner closely with sales, finance, and leadership to optimize strategies, ensure data accuracy, and align reporting with regulatory expectations. Join a collaborative culture that values integrity, community impact, and professional development in relationship-driven banking. Responsibilities Analyze sales, revenue, and pipeline data to identify trends and growth opportunities across finance and insurance products. Develop and maintain dashboards, scorecards, and KPIs for sales leadership and relationship managers. Forecast sales performance and support planning for targets, territories, and product strategies. Ensure accuracy, integrity, and timeliness of sales and financial reporting in coordination with finance and operations. Partner with sales, finance, and leadership to provide data-driven recommendations that improve performance and client outcomes. Support compliance with internal controls and regulatory expectations in reporting and analysis. Prepare and deliver presentations that translate complex data into clear, actionable insights for non-technical stakeholders. Required Skills Sales data analysis Financial analysis & reporting Advanced Excel (pivot tables, VLOOKUP, modeling) CRM and sales reporting tools (e.g., Salesforce) Business intelligence tools (e.g., Tableau/Power BI) Forecasting & pipeline analytics SQL or database querying KPI development & performance dashboards Presentation & data visualization Regulatory and compliance awareness in financial services
10/26/2026
Full time
Enterprise Bank & Trust seeks a Sales Analyst to turn sales and financial data into insights that drive growth across our community-focused finance and insurance portfolio. In this role, you'll analyze pipelines, revenue trends, and product performance, prepare dashboards and forecasts, and support relationship managers with actionable recommendations. You'll partner closely with sales, finance, and leadership to optimize strategies, ensure data accuracy, and align reporting with regulatory expectations. Join a collaborative culture that values integrity, community impact, and professional development in relationship-driven banking. Responsibilities Analyze sales, revenue, and pipeline data to identify trends and growth opportunities across finance and insurance products. Develop and maintain dashboards, scorecards, and KPIs for sales leadership and relationship managers. Forecast sales performance and support planning for targets, territories, and product strategies. Ensure accuracy, integrity, and timeliness of sales and financial reporting in coordination with finance and operations. Partner with sales, finance, and leadership to provide data-driven recommendations that improve performance and client outcomes. Support compliance with internal controls and regulatory expectations in reporting and analysis. Prepare and deliver presentations that translate complex data into clear, actionable insights for non-technical stakeholders. Required Skills Sales data analysis Financial analysis & reporting Advanced Excel (pivot tables, VLOOKUP, modeling) CRM and sales reporting tools (e.g., Salesforce) Business intelligence tools (e.g., Tableau/Power BI) Forecasting & pipeline analytics SQL or database querying KPI development & performance dashboards Presentation & data visualization Regulatory and compliance awareness in financial services
Enterprise Bank & Trust is seeking a Sales Reporting Analyst to deliver accurate, actionable sales and revenue reporting across commercial and retail lines. In this role, you'll consolidate data from CRM and core banking systems, build dashboards, and analyze trends to support relationship managers, leadership, and product teams. You'll track KPIs, pipeline performance, and incentive metrics, providing insights that guide strategic decisions. Collaborating closely with sales, finance, and operations, you'll help optimize growth, support community-focused initiatives, and enhance relationship-driven banking through clear, meaningful analytics. Responsibilities Develop, maintain, and distribute recurring sales and revenue reports for commercial and retail banking channels. Aggregate and validate data from CRM, core banking, and other systems to ensure accuracy and consistency of sales metrics. Design and update dashboards to track KPIs, pipeline health, and incentive performance for relationship managers and leaders. Analyze trends in sales activity, product performance, and customer segments to identify growth opportunities and risks. Partner with sales, finance, and operations to define reporting requirements and improve measurement of strategic initiatives. Support incentive plan tracking and modeling by providing detailed performance data and scenario analysis. Prepare clear visualizations and presentations that translate complex data into actionable insights for non-technical stakeholders. Contribute to process improvements and automation of reporting workflows to increase efficiency and data reliability. Required Skills Sales performance analysis Financial and revenue reporting CRM and core banking data extraction Advanced Excel and data modeling Business intelligence tools (Tableau/Power BI) SQL for reporting and analysis Forecasting and pipeline analytics KPI and dashboard development Data visualization and storytelling Stakeholder communication and presentation
10/26/2026
Full time
Enterprise Bank & Trust is seeking a Sales Reporting Analyst to deliver accurate, actionable sales and revenue reporting across commercial and retail lines. In this role, you'll consolidate data from CRM and core banking systems, build dashboards, and analyze trends to support relationship managers, leadership, and product teams. You'll track KPIs, pipeline performance, and incentive metrics, providing insights that guide strategic decisions. Collaborating closely with sales, finance, and operations, you'll help optimize growth, support community-focused initiatives, and enhance relationship-driven banking through clear, meaningful analytics. Responsibilities Develop, maintain, and distribute recurring sales and revenue reports for commercial and retail banking channels. Aggregate and validate data from CRM, core banking, and other systems to ensure accuracy and consistency of sales metrics. Design and update dashboards to track KPIs, pipeline health, and incentive performance for relationship managers and leaders. Analyze trends in sales activity, product performance, and customer segments to identify growth opportunities and risks. Partner with sales, finance, and operations to define reporting requirements and improve measurement of strategic initiatives. Support incentive plan tracking and modeling by providing detailed performance data and scenario analysis. Prepare clear visualizations and presentations that translate complex data into actionable insights for non-technical stakeholders. Contribute to process improvements and automation of reporting workflows to increase efficiency and data reliability. Required Skills Sales performance analysis Financial and revenue reporting CRM and core banking data extraction Advanced Excel and data modeling Business intelligence tools (Tableau/Power BI) SQL for reporting and analysis Forecasting and pipeline analytics KPI and dashboard development Data visualization and storytelling Stakeholder communication and presentation
Enterprise Bank & Trust seeks a Sales Analyst to turn sales and financial data into insights that drive growth across our community-focused finance and insurance portfolio. In this role, you'll analyze pipelines, revenue trends, and product performance, prepare dashboards and forecasts, and support relationship managers with actionable recommendations. You'll partner closely with sales, finance, and leadership to optimize strategies, ensure data accuracy, and align reporting with regulatory expectations. Join a collaborative culture that values integrity, community impact, and professional development in relationship-driven banking. Responsibilities Analyze sales, revenue, and pipeline data to identify trends and growth opportunities across finance and insurance products. Develop and maintain dashboards, scorecards, and KPIs for sales leadership and relationship managers. Forecast sales performance and support planning for targets, territories, and product strategies. Ensure accuracy, integrity, and timeliness of sales and financial reporting in coordination with finance and operations. Partner with sales, finance, and leadership to provide data-driven recommendations that improve performance and client outcomes. Support compliance with internal controls and regulatory expectations in reporting and analysis. Prepare and deliver presentations that translate complex data into clear, actionable insights for non-technical stakeholders. Required Skills Sales data analysis Financial analysis & reporting Advanced Excel (pivot tables, VLOOKUP, modeling) CRM and sales reporting tools (e.g., Salesforce) Business intelligence tools (e.g., Tableau/Power BI) Forecasting & pipeline analytics SQL or database querying KPI development & performance dashboards Presentation & data visualization Regulatory and compliance awareness in financial services
10/26/2026
Full time
Enterprise Bank & Trust seeks a Sales Analyst to turn sales and financial data into insights that drive growth across our community-focused finance and insurance portfolio. In this role, you'll analyze pipelines, revenue trends, and product performance, prepare dashboards and forecasts, and support relationship managers with actionable recommendations. You'll partner closely with sales, finance, and leadership to optimize strategies, ensure data accuracy, and align reporting with regulatory expectations. Join a collaborative culture that values integrity, community impact, and professional development in relationship-driven banking. Responsibilities Analyze sales, revenue, and pipeline data to identify trends and growth opportunities across finance and insurance products. Develop and maintain dashboards, scorecards, and KPIs for sales leadership and relationship managers. Forecast sales performance and support planning for targets, territories, and product strategies. Ensure accuracy, integrity, and timeliness of sales and financial reporting in coordination with finance and operations. Partner with sales, finance, and leadership to provide data-driven recommendations that improve performance and client outcomes. Support compliance with internal controls and regulatory expectations in reporting and analysis. Prepare and deliver presentations that translate complex data into clear, actionable insights for non-technical stakeholders. Required Skills Sales data analysis Financial analysis & reporting Advanced Excel (pivot tables, VLOOKUP, modeling) CRM and sales reporting tools (e.g., Salesforce) Business intelligence tools (e.g., Tableau/Power BI) Forecasting & pipeline analytics SQL or database querying KPI development & performance dashboards Presentation & data visualization Regulatory and compliance awareness in financial services
Enterprise Bank & Trust seeks a Sales Analyst to turn sales and financial data into insights that drive growth across our community-focused finance and insurance portfolio. In this role, you'll analyze pipelines, revenue trends, and product performance, prepare dashboards and forecasts, and support relationship managers with actionable recommendations. You'll partner closely with sales, finance, and leadership to optimize strategies, ensure data accuracy, and align reporting with regulatory expectations. Join a collaborative culture that values integrity, community impact, and professional development in relationship-driven banking. Responsibilities Analyze sales, revenue, and pipeline data to identify trends and growth opportunities across finance and insurance products. Develop and maintain dashboards, scorecards, and KPIs for sales leadership and relationship managers. Forecast sales performance and support planning for targets, territories, and product strategies. Ensure accuracy, integrity, and timeliness of sales and financial reporting in coordination with finance and operations. Partner with sales, finance, and leadership to provide data-driven recommendations that improve performance and client outcomes. Support compliance with internal controls and regulatory expectations in reporting and analysis. Prepare and deliver presentations that translate complex data into clear, actionable insights for non-technical stakeholders. Required Skills Sales data analysis Financial analysis & reporting Advanced Excel (pivot tables, VLOOKUP, modeling) CRM and sales reporting tools (e.g., Salesforce) Business intelligence tools (e.g., Tableau/Power BI) Forecasting & pipeline analytics SQL or database querying KPI development & performance dashboards Presentation & data visualization Regulatory and compliance awareness in financial services
10/26/2026
Full time
Enterprise Bank & Trust seeks a Sales Analyst to turn sales and financial data into insights that drive growth across our community-focused finance and insurance portfolio. In this role, you'll analyze pipelines, revenue trends, and product performance, prepare dashboards and forecasts, and support relationship managers with actionable recommendations. You'll partner closely with sales, finance, and leadership to optimize strategies, ensure data accuracy, and align reporting with regulatory expectations. Join a collaborative culture that values integrity, community impact, and professional development in relationship-driven banking. Responsibilities Analyze sales, revenue, and pipeline data to identify trends and growth opportunities across finance and insurance products. Develop and maintain dashboards, scorecards, and KPIs for sales leadership and relationship managers. Forecast sales performance and support planning for targets, territories, and product strategies. Ensure accuracy, integrity, and timeliness of sales and financial reporting in coordination with finance and operations. Partner with sales, finance, and leadership to provide data-driven recommendations that improve performance and client outcomes. Support compliance with internal controls and regulatory expectations in reporting and analysis. Prepare and deliver presentations that translate complex data into clear, actionable insights for non-technical stakeholders. Required Skills Sales data analysis Financial analysis & reporting Advanced Excel (pivot tables, VLOOKUP, modeling) CRM and sales reporting tools (e.g., Salesforce) Business intelligence tools (e.g., Tableau/Power BI) Forecasting & pipeline analytics SQL or database querying KPI development & performance dashboards Presentation & data visualization Regulatory and compliance awareness in financial services
Enterprise Bank & Trust is seeking a Sales Reporting Analyst to deliver accurate, actionable sales and revenue reporting across commercial and retail lines. In this role, you'll consolidate data from CRM and core banking systems, build dashboards, and analyze trends to support relationship managers, leadership, and product teams. You'll track KPIs, pipeline performance, and incentive metrics, providing insights that guide strategic decisions. Collaborating closely with sales, finance, and operations, you'll help optimize growth, support community-focused initiatives, and enhance relationship-driven banking through clear, meaningful analytics. Responsibilities Develop, maintain, and distribute recurring sales and revenue reports for commercial and retail banking channels. Aggregate and validate data from CRM, core banking, and other systems to ensure accuracy and consistency of sales metrics. Design and update dashboards to track KPIs, pipeline health, and incentive performance for relationship managers and leaders. Analyze trends in sales activity, product performance, and customer segments to identify growth opportunities and risks. Partner with sales, finance, and operations to define reporting requirements and improve measurement of strategic initiatives. Support incentive plan tracking and modeling by providing detailed performance data and scenario analysis. Prepare clear visualizations and presentations that translate complex data into actionable insights for non-technical stakeholders. Contribute to process improvements and automation of reporting workflows to increase efficiency and data reliability. Required Skills Sales performance analysis Financial and revenue reporting CRM and core banking data extraction Advanced Excel and data modeling Business intelligence tools (Tableau/Power BI) SQL for reporting and analysis Forecasting and pipeline analytics KPI and dashboard development Data visualization and storytelling Stakeholder communication and presentation
10/26/2026
Full time
Enterprise Bank & Trust is seeking a Sales Reporting Analyst to deliver accurate, actionable sales and revenue reporting across commercial and retail lines. In this role, you'll consolidate data from CRM and core banking systems, build dashboards, and analyze trends to support relationship managers, leadership, and product teams. You'll track KPIs, pipeline performance, and incentive metrics, providing insights that guide strategic decisions. Collaborating closely with sales, finance, and operations, you'll help optimize growth, support community-focused initiatives, and enhance relationship-driven banking through clear, meaningful analytics. Responsibilities Develop, maintain, and distribute recurring sales and revenue reports for commercial and retail banking channels. Aggregate and validate data from CRM, core banking, and other systems to ensure accuracy and consistency of sales metrics. Design and update dashboards to track KPIs, pipeline health, and incentive performance for relationship managers and leaders. Analyze trends in sales activity, product performance, and customer segments to identify growth opportunities and risks. Partner with sales, finance, and operations to define reporting requirements and improve measurement of strategic initiatives. Support incentive plan tracking and modeling by providing detailed performance data and scenario analysis. Prepare clear visualizations and presentations that translate complex data into actionable insights for non-technical stakeholders. Contribute to process improvements and automation of reporting workflows to increase efficiency and data reliability. Required Skills Sales performance analysis Financial and revenue reporting CRM and core banking data extraction Advanced Excel and data modeling Business intelligence tools (Tableau/Power BI) SQL for reporting and analysis Forecasting and pipeline analytics KPI and dashboard development Data visualization and storytelling Stakeholder communication and presentation
Enterprise Bank & Trust is seeking a Sales Reporting Analyst to deliver accurate, actionable sales and revenue reporting across commercial and retail lines. In this role, you'll consolidate data from CRM and core banking systems, build dashboards, and analyze trends to support relationship managers, leadership, and product teams. You'll track KPIs, pipeline performance, and incentive metrics, providing insights that guide strategic decisions. Collaborating closely with sales, finance, and operations, you'll help optimize growth, support community-focused initiatives, and enhance relationship-driven banking through clear, meaningful analytics. Responsibilities Develop, maintain, and distribute recurring sales and revenue reports for commercial and retail banking channels. Aggregate and validate data from CRM, core banking, and other systems to ensure accuracy and consistency of sales metrics. Design and update dashboards to track KPIs, pipeline health, and incentive performance for relationship managers and leaders. Analyze trends in sales activity, product performance, and customer segments to identify growth opportunities and risks. Partner with sales, finance, and operations to define reporting requirements and improve measurement of strategic initiatives. Support incentive plan tracking and modeling by providing detailed performance data and scenario analysis. Prepare clear visualizations and presentations that translate complex data into actionable insights for non-technical stakeholders. Contribute to process improvements and automation of reporting workflows to increase efficiency and data reliability. Required Skills Sales performance analysis Financial and revenue reporting CRM and core banking data extraction Advanced Excel and data modeling Business intelligence tools (Tableau/Power BI) SQL for reporting and analysis Forecasting and pipeline analytics KPI and dashboard development Data visualization and storytelling Stakeholder communication and presentation
10/26/2026
Full time
Enterprise Bank & Trust is seeking a Sales Reporting Analyst to deliver accurate, actionable sales and revenue reporting across commercial and retail lines. In this role, you'll consolidate data from CRM and core banking systems, build dashboards, and analyze trends to support relationship managers, leadership, and product teams. You'll track KPIs, pipeline performance, and incentive metrics, providing insights that guide strategic decisions. Collaborating closely with sales, finance, and operations, you'll help optimize growth, support community-focused initiatives, and enhance relationship-driven banking through clear, meaningful analytics. Responsibilities Develop, maintain, and distribute recurring sales and revenue reports for commercial and retail banking channels. Aggregate and validate data from CRM, core banking, and other systems to ensure accuracy and consistency of sales metrics. Design and update dashboards to track KPIs, pipeline health, and incentive performance for relationship managers and leaders. Analyze trends in sales activity, product performance, and customer segments to identify growth opportunities and risks. Partner with sales, finance, and operations to define reporting requirements and improve measurement of strategic initiatives. Support incentive plan tracking and modeling by providing detailed performance data and scenario analysis. Prepare clear visualizations and presentations that translate complex data into actionable insights for non-technical stakeholders. Contribute to process improvements and automation of reporting workflows to increase efficiency and data reliability. Required Skills Sales performance analysis Financial and revenue reporting CRM and core banking data extraction Advanced Excel and data modeling Business intelligence tools (Tableau/Power BI) SQL for reporting and analysis Forecasting and pipeline analytics KPI and dashboard development Data visualization and storytelling Stakeholder communication and presentation
Enterprise Bank & Trust seeks a Sales Analyst to turn sales and financial data into insights that drive growth across our community-focused finance and insurance portfolio. In this role, you'll analyze pipelines, revenue trends, and product performance, prepare dashboards and forecasts, and support relationship managers with actionable recommendations. You'll partner closely with sales, finance, and leadership to optimize strategies, ensure data accuracy, and align reporting with regulatory expectations. Join a collaborative culture that values integrity, community impact, and professional development in relationship-driven banking. Responsibilities Analyze sales, revenue, and pipeline data to identify trends and growth opportunities across finance and insurance products. Develop and maintain dashboards, scorecards, and KPIs for sales leadership and relationship managers. Forecast sales performance and support planning for targets, territories, and product strategies. Ensure accuracy, integrity, and timeliness of sales and financial reporting in coordination with finance and operations. Partner with sales, finance, and leadership to provide data-driven recommendations that improve performance and client outcomes. Support compliance with internal controls and regulatory expectations in reporting and analysis. Prepare and deliver presentations that translate complex data into clear, actionable insights for non-technical stakeholders. Required Skills Sales data analysis Financial analysis & reporting Advanced Excel (pivot tables, VLOOKUP, modeling) CRM and sales reporting tools (e.g., Salesforce) Business intelligence tools (e.g., Tableau/Power BI) Forecasting & pipeline analytics SQL or database querying KPI development & performance dashboards Presentation & data visualization Regulatory and compliance awareness in financial services
10/26/2026
Full time
Enterprise Bank & Trust seeks a Sales Analyst to turn sales and financial data into insights that drive growth across our community-focused finance and insurance portfolio. In this role, you'll analyze pipelines, revenue trends, and product performance, prepare dashboards and forecasts, and support relationship managers with actionable recommendations. You'll partner closely with sales, finance, and leadership to optimize strategies, ensure data accuracy, and align reporting with regulatory expectations. Join a collaborative culture that values integrity, community impact, and professional development in relationship-driven banking. Responsibilities Analyze sales, revenue, and pipeline data to identify trends and growth opportunities across finance and insurance products. Develop and maintain dashboards, scorecards, and KPIs for sales leadership and relationship managers. Forecast sales performance and support planning for targets, territories, and product strategies. Ensure accuracy, integrity, and timeliness of sales and financial reporting in coordination with finance and operations. Partner with sales, finance, and leadership to provide data-driven recommendations that improve performance and client outcomes. Support compliance with internal controls and regulatory expectations in reporting and analysis. Prepare and deliver presentations that translate complex data into clear, actionable insights for non-technical stakeholders. Required Skills Sales data analysis Financial analysis & reporting Advanced Excel (pivot tables, VLOOKUP, modeling) CRM and sales reporting tools (e.g., Salesforce) Business intelligence tools (e.g., Tableau/Power BI) Forecasting & pipeline analytics SQL or database querying KPI development & performance dashboards Presentation & data visualization Regulatory and compliance awareness in financial services
Enterprise Bank & Trust is seeking a Sales Reporting Analyst to deliver accurate, actionable sales and revenue reporting across commercial and retail lines. In this role, you'll consolidate data from CRM and core banking systems, build dashboards, and analyze trends to support relationship managers, leadership, and product teams. You'll track KPIs, pipeline performance, and incentive metrics, providing insights that guide strategic decisions. Collaborating closely with sales, finance, and operations, you'll help optimize growth, support community-focused initiatives, and enhance relationship-driven banking through clear, meaningful analytics. Responsibilities Develop, maintain, and distribute recurring sales and revenue reports for commercial and retail banking channels. Aggregate and validate data from CRM, core banking, and other systems to ensure accuracy and consistency of sales metrics. Design and update dashboards to track KPIs, pipeline health, and incentive performance for relationship managers and leaders. Analyze trends in sales activity, product performance, and customer segments to identify growth opportunities and risks. Partner with sales, finance, and operations to define reporting requirements and improve measurement of strategic initiatives. Support incentive plan tracking and modeling by providing detailed performance data and scenario analysis. Prepare clear visualizations and presentations that translate complex data into actionable insights for non-technical stakeholders. Contribute to process improvements and automation of reporting workflows to increase efficiency and data reliability. Required Skills Sales performance analysis Financial and revenue reporting CRM and core banking data extraction Advanced Excel and data modeling Business intelligence tools (Tableau/Power BI) SQL for reporting and analysis Forecasting and pipeline analytics KPI and dashboard development Data visualization and storytelling Stakeholder communication and presentation
10/26/2026
Full time
Enterprise Bank & Trust is seeking a Sales Reporting Analyst to deliver accurate, actionable sales and revenue reporting across commercial and retail lines. In this role, you'll consolidate data from CRM and core banking systems, build dashboards, and analyze trends to support relationship managers, leadership, and product teams. You'll track KPIs, pipeline performance, and incentive metrics, providing insights that guide strategic decisions. Collaborating closely with sales, finance, and operations, you'll help optimize growth, support community-focused initiatives, and enhance relationship-driven banking through clear, meaningful analytics. Responsibilities Develop, maintain, and distribute recurring sales and revenue reports for commercial and retail banking channels. Aggregate and validate data from CRM, core banking, and other systems to ensure accuracy and consistency of sales metrics. Design and update dashboards to track KPIs, pipeline health, and incentive performance for relationship managers and leaders. Analyze trends in sales activity, product performance, and customer segments to identify growth opportunities and risks. Partner with sales, finance, and operations to define reporting requirements and improve measurement of strategic initiatives. Support incentive plan tracking and modeling by providing detailed performance data and scenario analysis. Prepare clear visualizations and presentations that translate complex data into actionable insights for non-technical stakeholders. Contribute to process improvements and automation of reporting workflows to increase efficiency and data reliability. Required Skills Sales performance analysis Financial and revenue reporting CRM and core banking data extraction Advanced Excel and data modeling Business intelligence tools (Tableau/Power BI) SQL for reporting and analysis Forecasting and pipeline analytics KPI and dashboard development Data visualization and storytelling Stakeholder communication and presentation
Enterprise Bank & Trust seeks a Sales Analyst to turn sales and financial data into insights that drive growth across our community-focused finance and insurance portfolio. In this role, you'll analyze pipelines, revenue trends, and product performance, prepare dashboards and forecasts, and support relationship managers with actionable recommendations. You'll partner closely with sales, finance, and leadership to optimize strategies, ensure data accuracy, and align reporting with regulatory expectations. Join a collaborative culture that values integrity, community impact, and professional development in relationship-driven banking. Responsibilities Analyze sales, revenue, and pipeline data to identify trends and growth opportunities across finance and insurance products. Develop and maintain dashboards, scorecards, and KPIs for sales leadership and relationship managers. Forecast sales performance and support planning for targets, territories, and product strategies. Ensure accuracy, integrity, and timeliness of sales and financial reporting in coordination with finance and operations. Partner with sales, finance, and leadership to provide data-driven recommendations that improve performance and client outcomes. Support compliance with internal controls and regulatory expectations in reporting and analysis. Prepare and deliver presentations that translate complex data into clear, actionable insights for non-technical stakeholders. Required Skills Sales data analysis Financial analysis & reporting Advanced Excel (pivot tables, VLOOKUP, modeling) CRM and sales reporting tools (e.g., Salesforce) Business intelligence tools (e.g., Tableau/Power BI) Forecasting & pipeline analytics SQL or database querying KPI development & performance dashboards Presentation & data visualization Regulatory and compliance awareness in financial services
10/26/2026
Full time
Enterprise Bank & Trust seeks a Sales Analyst to turn sales and financial data into insights that drive growth across our community-focused finance and insurance portfolio. In this role, you'll analyze pipelines, revenue trends, and product performance, prepare dashboards and forecasts, and support relationship managers with actionable recommendations. You'll partner closely with sales, finance, and leadership to optimize strategies, ensure data accuracy, and align reporting with regulatory expectations. Join a collaborative culture that values integrity, community impact, and professional development in relationship-driven banking. Responsibilities Analyze sales, revenue, and pipeline data to identify trends and growth opportunities across finance and insurance products. Develop and maintain dashboards, scorecards, and KPIs for sales leadership and relationship managers. Forecast sales performance and support planning for targets, territories, and product strategies. Ensure accuracy, integrity, and timeliness of sales and financial reporting in coordination with finance and operations. Partner with sales, finance, and leadership to provide data-driven recommendations that improve performance and client outcomes. Support compliance with internal controls and regulatory expectations in reporting and analysis. Prepare and deliver presentations that translate complex data into clear, actionable insights for non-technical stakeholders. Required Skills Sales data analysis Financial analysis & reporting Advanced Excel (pivot tables, VLOOKUP, modeling) CRM and sales reporting tools (e.g., Salesforce) Business intelligence tools (e.g., Tableau/Power BI) Forecasting & pipeline analytics SQL or database querying KPI development & performance dashboards Presentation & data visualization Regulatory and compliance awareness in financial services
Enterprise Bank & Trust seeks a Sales Analyst to turn sales and financial data into insights that drive growth across our community-focused finance and insurance portfolio. In this role, you'll analyze pipelines, revenue trends, and product performance, prepare dashboards and forecasts, and support relationship managers with actionable recommendations. You'll partner closely with sales, finance, and leadership to optimize strategies, ensure data accuracy, and align reporting with regulatory expectations. Join a collaborative culture that values integrity, community impact, and professional development in relationship-driven banking. Responsibilities Analyze sales, revenue, and pipeline data to identify trends and growth opportunities across finance and insurance products. Develop and maintain dashboards, scorecards, and KPIs for sales leadership and relationship managers. Forecast sales performance and support planning for targets, territories, and product strategies. Ensure accuracy, integrity, and timeliness of sales and financial reporting in coordination with finance and operations. Partner with sales, finance, and leadership to provide data-driven recommendations that improve performance and client outcomes. Support compliance with internal controls and regulatory expectations in reporting and analysis. Prepare and deliver presentations that translate complex data into clear, actionable insights for non-technical stakeholders. Required Skills Sales data analysis Financial analysis & reporting Advanced Excel (pivot tables, VLOOKUP, modeling) CRM and sales reporting tools (e.g., Salesforce) Business intelligence tools (e.g., Tableau/Power BI) Forecasting & pipeline analytics SQL or database querying KPI development & performance dashboards Presentation & data visualization Regulatory and compliance awareness in financial services
10/26/2026
Full time
Enterprise Bank & Trust seeks a Sales Analyst to turn sales and financial data into insights that drive growth across our community-focused finance and insurance portfolio. In this role, you'll analyze pipelines, revenue trends, and product performance, prepare dashboards and forecasts, and support relationship managers with actionable recommendations. You'll partner closely with sales, finance, and leadership to optimize strategies, ensure data accuracy, and align reporting with regulatory expectations. Join a collaborative culture that values integrity, community impact, and professional development in relationship-driven banking. Responsibilities Analyze sales, revenue, and pipeline data to identify trends and growth opportunities across finance and insurance products. Develop and maintain dashboards, scorecards, and KPIs for sales leadership and relationship managers. Forecast sales performance and support planning for targets, territories, and product strategies. Ensure accuracy, integrity, and timeliness of sales and financial reporting in coordination with finance and operations. Partner with sales, finance, and leadership to provide data-driven recommendations that improve performance and client outcomes. Support compliance with internal controls and regulatory expectations in reporting and analysis. Prepare and deliver presentations that translate complex data into clear, actionable insights for non-technical stakeholders. Required Skills Sales data analysis Financial analysis & reporting Advanced Excel (pivot tables, VLOOKUP, modeling) CRM and sales reporting tools (e.g., Salesforce) Business intelligence tools (e.g., Tableau/Power BI) Forecasting & pipeline analytics SQL or database querying KPI development & performance dashboards Presentation & data visualization Regulatory and compliance awareness in financial services