About the Role & Team: "We Power the Magic!" That's our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company's premier vacation brands including Disney Cruise Line, Aulani, Disney Vacation Club, and Disney Parks & Resorts worldwide. We are responsible for the end-to-end digital and physical Guest experience for technology and digital-led initiatives that power the planning, booking, fulfillment, operations, and Guest experience across Disney Signature Experiences. The successful candidate must possess strategic leadership skills and technical knowledge that is both broad and deep across software engineering, systems design, architecture, cloud platforms, and modern technology ecosystems. This leader will be responsible for establishing technical direction, guiding solution design, enabling engineering excellence, and ensuring the delivery of scalable, resilient, and highly integrated technology solutions that align with business priorities and enterprise standards. The role requires strong partnership across Product, Engineering, Data, Program, and Business organizations and the ability to influence outcomes in a highly matrixed environment. You will report to the Director of Software Engineering. This is a full-time Position. What You Will Do: Provide technical leadership across architecture, design, integration, quality, automation, and operations, ensuring sustainable, scalable, secure, and resilient engineering solutions across Disney Cruise Line and Disney Signature Experiences platforms. Develop and maintain strategic technology roadmaps that ensure technical currency, reduce legacy risk, support platform modernization efforts, and advance business goals. Establish and drive architectural direction, engineering standards, governance processes, and solution design practices that align technology investments with business strategy and enterprise objectives. Lead and mentor multiple cross-functional engineering teams and technical leaders across diverse locations and engagement models, fostering technical excellence, innovation, and organizational growth. Provide leadership and engage regularly with stakeholders for resource planning, technical analysis, architecture reviews, solution design decisions, and quality oversight across engineering portfolios. Champion continuous improvement in engineering practices, delivery efficiency, operational excellence, and organizational agility through adoption of modern software development and platform engineering capabilities. Champion best practices and strategic thinking in the design and delivery of systems and platforms, ensuring solutions are scalable, secure, resilient, maintainable, and aligned with a Guest and Crew experience culture. Drive domain and technology strategy across web, mobile, cloud, AI, integrations, and enterprise platforms, shaping technical recommendations, architecture patterns, prioritization frameworks, and technology investment decisions. Serve as a senior technical leader for complex architecture and technology decisions, balancing business needs, engineering constraints, scalability requirements, security standards, and delivery objectives. Partner closely with Product, Engineering, Data, Program Management, and Business leaders to ensure technology solutions are architecturally sound, practical to implement, and aligned with long-term strategic goals. Lead architecture reviews, technology assessments, proof-of-concept initiatives, and modernization efforts to continuously improve platform capabilities, engineering effectiveness, and operational performance. Build and maintain strong partnerships with vendors and third-party technology providers, ensuring solutions meet Disney standards for quality, security, performance, reliability, and integration. Continuously assess emerging technologies and evolving industry trends to influence strategic direction, improve engineering capabilities, and identify opportunities for business growth and innovation. Oversee financial planning and portfolio budgeting processes, ensuring fiscal accuracy, strategic alignment, and reliable forecasting across product and technology investments. Required Qualifications and Skills: Minimum 10 years of progressive technology experience in software engineering, systems design, architecture, platform engineering, or related technical leadership disciplines. Demonstrated leadership of large-scale, complex technology initiatives and multidisciplinary engineering organizations. 2+ Years of Experience of People Management, leading software engineers, architects, technical leads, vendors, and cross-functional technology partners. Strong technical expertise across modern cloud platforms, distributed systems, integration patterns, enterprise applications, web and mobile technologies, and modern software development frameworks. Proven ability to establish and implement architectural standards that enable scalable, secure, resilient, and maintainable solutions. Experience delivering products and platforms utilizing Agile, DevOps, and modern software engineering practices. Strong executive communication, stakeholder management, strategic planning, and organizational leadership capabilities. Proven ability to lead in highly matrixed environments, influence without authority, and align technology strategy with business objectives. Preferred Qualifications and Skills: Experience supporting travel, hospitality, cruise, commerce, reservation, fulfillment, or Guest experience platforms. Experience leading large-scale digital transformation and platform modernization efforts. Expertise in cloud-native architectures and platforms including AWS, Azure, or Google Cloud. Experience with enterprise architecture governance, technology strategy, and technical operating models. Familiarity with SAFe, Agile delivery models, DevSecOps practices, and architecture frameworks such as TOGAF. Education: Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Required. Additional Information: Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for this position in Orlando, FL is $179,500.00-$240,600.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
09/24/2026
Full time
About the Role & Team: "We Power the Magic!" That's our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company's premier vacation brands including Disney Cruise Line, Aulani, Disney Vacation Club, and Disney Parks & Resorts worldwide. We are responsible for the end-to-end digital and physical Guest experience for technology and digital-led initiatives that power the planning, booking, fulfillment, operations, and Guest experience across Disney Signature Experiences. The successful candidate must possess strategic leadership skills and technical knowledge that is both broad and deep across software engineering, systems design, architecture, cloud platforms, and modern technology ecosystems. This leader will be responsible for establishing technical direction, guiding solution design, enabling engineering excellence, and ensuring the delivery of scalable, resilient, and highly integrated technology solutions that align with business priorities and enterprise standards. The role requires strong partnership across Product, Engineering, Data, Program, and Business organizations and the ability to influence outcomes in a highly matrixed environment. You will report to the Director of Software Engineering. This is a full-time Position. What You Will Do: Provide technical leadership across architecture, design, integration, quality, automation, and operations, ensuring sustainable, scalable, secure, and resilient engineering solutions across Disney Cruise Line and Disney Signature Experiences platforms. Develop and maintain strategic technology roadmaps that ensure technical currency, reduce legacy risk, support platform modernization efforts, and advance business goals. Establish and drive architectural direction, engineering standards, governance processes, and solution design practices that align technology investments with business strategy and enterprise objectives. Lead and mentor multiple cross-functional engineering teams and technical leaders across diverse locations and engagement models, fostering technical excellence, innovation, and organizational growth. Provide leadership and engage regularly with stakeholders for resource planning, technical analysis, architecture reviews, solution design decisions, and quality oversight across engineering portfolios. Champion continuous improvement in engineering practices, delivery efficiency, operational excellence, and organizational agility through adoption of modern software development and platform engineering capabilities. Champion best practices and strategic thinking in the design and delivery of systems and platforms, ensuring solutions are scalable, secure, resilient, maintainable, and aligned with a Guest and Crew experience culture. Drive domain and technology strategy across web, mobile, cloud, AI, integrations, and enterprise platforms, shaping technical recommendations, architecture patterns, prioritization frameworks, and technology investment decisions. Serve as a senior technical leader for complex architecture and technology decisions, balancing business needs, engineering constraints, scalability requirements, security standards, and delivery objectives. Partner closely with Product, Engineering, Data, Program Management, and Business leaders to ensure technology solutions are architecturally sound, practical to implement, and aligned with long-term strategic goals. Lead architecture reviews, technology assessments, proof-of-concept initiatives, and modernization efforts to continuously improve platform capabilities, engineering effectiveness, and operational performance. Build and maintain strong partnerships with vendors and third-party technology providers, ensuring solutions meet Disney standards for quality, security, performance, reliability, and integration. Continuously assess emerging technologies and evolving industry trends to influence strategic direction, improve engineering capabilities, and identify opportunities for business growth and innovation. Oversee financial planning and portfolio budgeting processes, ensuring fiscal accuracy, strategic alignment, and reliable forecasting across product and technology investments. Required Qualifications and Skills: Minimum 10 years of progressive technology experience in software engineering, systems design, architecture, platform engineering, or related technical leadership disciplines. Demonstrated leadership of large-scale, complex technology initiatives and multidisciplinary engineering organizations. 2+ Years of Experience of People Management, leading software engineers, architects, technical leads, vendors, and cross-functional technology partners. Strong technical expertise across modern cloud platforms, distributed systems, integration patterns, enterprise applications, web and mobile technologies, and modern software development frameworks. Proven ability to establish and implement architectural standards that enable scalable, secure, resilient, and maintainable solutions. Experience delivering products and platforms utilizing Agile, DevOps, and modern software engineering practices. Strong executive communication, stakeholder management, strategic planning, and organizational leadership capabilities. Proven ability to lead in highly matrixed environments, influence without authority, and align technology strategy with business objectives. Preferred Qualifications and Skills: Experience supporting travel, hospitality, cruise, commerce, reservation, fulfillment, or Guest experience platforms. Experience leading large-scale digital transformation and platform modernization efforts. Expertise in cloud-native architectures and platforms including AWS, Azure, or Google Cloud. Experience with enterprise architecture governance, technology strategy, and technical operating models. Familiarity with SAFe, Agile delivery models, DevSecOps practices, and architecture frameworks such as TOGAF. Education: Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Required. Additional Information: Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for this position in Orlando, FL is $179,500.00-$240,600.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
About the Role & Team: "We Power the Magic!" That's our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company's premier vacation brands including Disney Cruise Line, Aulani, Disney Vacation Club, and Disney Parks & Resorts worldwide. We are responsible for the end-to-end digital and physical Guest experience for technology and digital-led initiatives that power the planning, booking, fulfillment, operations, and Guest experience across Disney Signature Experiences. The successful candidate must possess strategic leadership skills and technical knowledge that is both broad and deep across software engineering, systems design, architecture, cloud platforms, and modern technology ecosystems. This leader will be responsible for establishing technical direction, guiding solution design, enabling engineering excellence, and ensuring the delivery of scalable, resilient, and highly integrated technology solutions that align with business priorities and enterprise standards. The role requires strong partnership across Product, Engineering, Data, Program, and Business organizations and the ability to influence outcomes in a highly matrixed environment. You will report to the Director of Software Engineering. This is a full-time Position. What You Will Do: Provide technical leadership across architecture, design, integration, quality, automation, and operations, ensuring sustainable, scalable, secure, and resilient engineering solutions across Disney Cruise Line and Disney Signature Experiences platforms. Develop and maintain strategic technology roadmaps that ensure technical currency, reduce legacy risk, support platform modernization efforts, and advance business goals. Establish and drive architectural direction, engineering standards, governance processes, and solution design practices that align technology investments with business strategy and enterprise objectives. Lead and mentor multiple cross-functional engineering teams and technical leaders across diverse locations and engagement models, fostering technical excellence, innovation, and organizational growth. Provide leadership and engage regularly with stakeholders for resource planning, technical analysis, architecture reviews, solution design decisions, and quality oversight across engineering portfolios. Champion continuous improvement in engineering practices, delivery efficiency, operational excellence, and organizational agility through adoption of modern software development and platform engineering capabilities. Champion best practices and strategic thinking in the design and delivery of systems and platforms, ensuring solutions are scalable, secure, resilient, maintainable, and aligned with a Guest and Crew experience culture. Drive domain and technology strategy across web, mobile, cloud, AI, integrations, and enterprise platforms, shaping technical recommendations, architecture patterns, prioritization frameworks, and technology investment decisions. Serve as a senior technical leader for complex architecture and technology decisions, balancing business needs, engineering constraints, scalability requirements, security standards, and delivery objectives. Partner closely with Product, Engineering, Data, Program Management, and Business leaders to ensure technology solutions are architecturally sound, practical to implement, and aligned with long-term strategic goals. Lead architecture reviews, technology assessments, proof-of-concept initiatives, and modernization efforts to continuously improve platform capabilities, engineering effectiveness, and operational performance. Build and maintain strong partnerships with vendors and third-party technology providers, ensuring solutions meet Disney standards for quality, security, performance, reliability, and integration. Continuously assess emerging technologies and evolving industry trends to influence strategic direction, improve engineering capabilities, and identify opportunities for business growth and innovation. Oversee financial planning and portfolio budgeting processes, ensuring fiscal accuracy, strategic alignment, and reliable forecasting across product and technology investments. Required Qualifications and Skills: Minimum 10 years of progressive technology experience in software engineering, systems design, architecture, platform engineering, or related technical leadership disciplines. Demonstrated leadership of large-scale, complex technology initiatives and multidisciplinary engineering organizations. 2+ Years of Experience of People Management, leading software engineers, architects, technical leads, vendors, and cross-functional technology partners. Strong technical expertise across modern cloud platforms, distributed systems, integration patterns, enterprise applications, web and mobile technologies, and modern software development frameworks. Proven ability to establish and implement architectural standards that enable scalable, secure, resilient, and maintainable solutions. Experience delivering products and platforms utilizing Agile, DevOps, and modern software engineering practices. Strong executive communication, stakeholder management, strategic planning, and organizational leadership capabilities. Proven ability to lead in highly matrixed environments, influence without authority, and align technology strategy with business objectives. Preferred Qualifications and Skills: Experience supporting travel, hospitality, cruise, commerce, reservation, fulfillment, or Guest experience platforms. Experience leading large-scale digital transformation and platform modernization efforts. Expertise in cloud-native architectures and platforms including AWS, Azure, or Google Cloud. Experience with enterprise architecture governance, technology strategy, and technical operating models. Familiarity with SAFe, Agile delivery models, DevSecOps practices, and architecture frameworks such as TOGAF. Education: Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Required. Additional Information: Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for this position in Orlando, FL is $179,500.00-$240,600.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
09/24/2026
Full time
About the Role & Team: "We Power the Magic!" That's our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company's premier vacation brands including Disney Cruise Line, Aulani, Disney Vacation Club, and Disney Parks & Resorts worldwide. We are responsible for the end-to-end digital and physical Guest experience for technology and digital-led initiatives that power the planning, booking, fulfillment, operations, and Guest experience across Disney Signature Experiences. The successful candidate must possess strategic leadership skills and technical knowledge that is both broad and deep across software engineering, systems design, architecture, cloud platforms, and modern technology ecosystems. This leader will be responsible for establishing technical direction, guiding solution design, enabling engineering excellence, and ensuring the delivery of scalable, resilient, and highly integrated technology solutions that align with business priorities and enterprise standards. The role requires strong partnership across Product, Engineering, Data, Program, and Business organizations and the ability to influence outcomes in a highly matrixed environment. You will report to the Director of Software Engineering. This is a full-time Position. What You Will Do: Provide technical leadership across architecture, design, integration, quality, automation, and operations, ensuring sustainable, scalable, secure, and resilient engineering solutions across Disney Cruise Line and Disney Signature Experiences platforms. Develop and maintain strategic technology roadmaps that ensure technical currency, reduce legacy risk, support platform modernization efforts, and advance business goals. Establish and drive architectural direction, engineering standards, governance processes, and solution design practices that align technology investments with business strategy and enterprise objectives. Lead and mentor multiple cross-functional engineering teams and technical leaders across diverse locations and engagement models, fostering technical excellence, innovation, and organizational growth. Provide leadership and engage regularly with stakeholders for resource planning, technical analysis, architecture reviews, solution design decisions, and quality oversight across engineering portfolios. Champion continuous improvement in engineering practices, delivery efficiency, operational excellence, and organizational agility through adoption of modern software development and platform engineering capabilities. Champion best practices and strategic thinking in the design and delivery of systems and platforms, ensuring solutions are scalable, secure, resilient, maintainable, and aligned with a Guest and Crew experience culture. Drive domain and technology strategy across web, mobile, cloud, AI, integrations, and enterprise platforms, shaping technical recommendations, architecture patterns, prioritization frameworks, and technology investment decisions. Serve as a senior technical leader for complex architecture and technology decisions, balancing business needs, engineering constraints, scalability requirements, security standards, and delivery objectives. Partner closely with Product, Engineering, Data, Program Management, and Business leaders to ensure technology solutions are architecturally sound, practical to implement, and aligned with long-term strategic goals. Lead architecture reviews, technology assessments, proof-of-concept initiatives, and modernization efforts to continuously improve platform capabilities, engineering effectiveness, and operational performance. Build and maintain strong partnerships with vendors and third-party technology providers, ensuring solutions meet Disney standards for quality, security, performance, reliability, and integration. Continuously assess emerging technologies and evolving industry trends to influence strategic direction, improve engineering capabilities, and identify opportunities for business growth and innovation. Oversee financial planning and portfolio budgeting processes, ensuring fiscal accuracy, strategic alignment, and reliable forecasting across product and technology investments. Required Qualifications and Skills: Minimum 10 years of progressive technology experience in software engineering, systems design, architecture, platform engineering, or related technical leadership disciplines. Demonstrated leadership of large-scale, complex technology initiatives and multidisciplinary engineering organizations. 2+ Years of Experience of People Management, leading software engineers, architects, technical leads, vendors, and cross-functional technology partners. Strong technical expertise across modern cloud platforms, distributed systems, integration patterns, enterprise applications, web and mobile technologies, and modern software development frameworks. Proven ability to establish and implement architectural standards that enable scalable, secure, resilient, and maintainable solutions. Experience delivering products and platforms utilizing Agile, DevOps, and modern software engineering practices. Strong executive communication, stakeholder management, strategic planning, and organizational leadership capabilities. Proven ability to lead in highly matrixed environments, influence without authority, and align technology strategy with business objectives. Preferred Qualifications and Skills: Experience supporting travel, hospitality, cruise, commerce, reservation, fulfillment, or Guest experience platforms. Experience leading large-scale digital transformation and platform modernization efforts. Expertise in cloud-native architectures and platforms including AWS, Azure, or Google Cloud. Experience with enterprise architecture governance, technology strategy, and technical operating models. Familiarity with SAFe, Agile delivery models, DevSecOps practices, and architecture frameworks such as TOGAF. Education: Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Required. Additional Information: Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for this position in Orlando, FL is $179,500.00-$240,600.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
About the Role We are seeking a motivated and skilled Software Engineer to join our API Engineering team. In this role, you will design, develop, test, document, and support REST APIs that power critical business applications, partner integrations, and client-facing services. You will work closely with architects, product managers, quality engineers, and platform teams to build secure, scalable, and reliable APIs using modern software engineering practices. This position is ideal for an engineer who enjoys backend development, systems integration, API design, and solving complex technical challenges. Key Responsibilities API Development Design, develop, and maintain RESTful APIs and backend services. Build reusable components, libraries, and integration services. Ensure APIs meet performance, scalability, reliability, and security requirements. Participate in API versioning, lifecycle management, and backward compatibility planning. Troubleshoot and resolve API and integration issues across development, testing, and production environments. Documentation & Knowledge Sharing Create and maintain comprehensive API and integration documentation, including API specifications, developer guides, authentication and authorization requirements, onboarding materials, operational procedures, troubleshooting guides, and usage examples for internal and external consumers. Document system designs, technical decisions, and implementation approaches. Contribute to knowledge repositories and engineering best practices. Integration & Architecture Develop integrations between internal systems, external partners, and cloud services. Implement API solutions that align with enterprise architecture standards. Contribute to microservices and event-driven integration patterns. Support API gateway onboarding and policy implementation activities. Assist with API modernization and legacy system integration initiatives. Quality Engineering Develop unit, integration, and automated API tests. Participate in peer code reviews and design reviews. Support CI/CD adoption and deployment automation. Identify and address reliability, performance, and maintainability issues. Security & Compliance Implement secure authentication and authorization mechanisms using OAuth 2.0, JWT, and related standards. Follow secure coding practices and enterprise security requirements. Support vulnerability remediation and compliance initiatives. Ensure appropriate logging, monitoring, and auditing capabilities are implemented. Collaboration Participate in Agile/Scrum ceremonies and engineering planning activities. Collaborate with product, architecture, security, operations, and support teams. Communicate technical solutions effectively to technical and non-technical stakeholders. Contribute to continuous improvement of engineering standards and processes. Required Qualifications Education Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field, or equivalent practical experience. Experience 3+ years of professional software development experience. 2+ years of experience developing and supporting REST APIs. Experience building backend services using Java, C#, .NET, Spring Boot, or similar technologies. Experience working with distributed applications and service integrations. Experience using Git-based source control and CI/CD platforms. Technical Skills Strong understanding of REST API principles and HTTP protocols. Experience designing and implementing RESTful services and integrations. Experience with JSON, XML, and API integration patterns. Experience with relational databases and SQL. Knowledge of software design patterns and object-oriented programming. Familiarity with API security concepts and best practices including OAuth 2.0 and JWT. Experience with automated testing frameworks and API testing tools. Hands-on experience developing and deploying applications on Microsoft Azure. Experience with Kubernetes and containerized applications using Docker or similar technologies. Understanding of cloud-native application development, deployment, scaling, and operational best practices. Experience with CI/CD pipelines and DevOps practices. Preferred Qualifications Experience with Azure API Management (APIM). Experience with event-driven architectures and messaging platforms such as Azure Service Bus, Event Hubs, Kafka, or RabbitMQ. Experience producing API and technical documentation. Experience with monitoring and observability tools such as Azure Monitor, Application Insights, Splunk, Prometheus, Grafana, or OpenTelemetry. Familiarity with Infrastructure as Code tools such as Terraform, Bicep, or ARM templates. Experience in financial services, fintech, or other regulated industries. What We Value Strong analytical and problem-solving skills. Passion for building high-quality, maintainable software. Attention to detail and commitment to engineering excellence. Strong written and verbal communication skills. Ability to collaborate effectively in a cross-functional environment. Continuous learning mindset and willingness to adopt new technologies. Customer-focused approach to designing and delivering APIs. Ownership mindset with the ability to independently drive tasks to completion. Salary Range: $90,000 - $157,500 Annual The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ. Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit . About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at Read our CEO Statement Job Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
09/24/2026
Full time
About the Role We are seeking a motivated and skilled Software Engineer to join our API Engineering team. In this role, you will design, develop, test, document, and support REST APIs that power critical business applications, partner integrations, and client-facing services. You will work closely with architects, product managers, quality engineers, and platform teams to build secure, scalable, and reliable APIs using modern software engineering practices. This position is ideal for an engineer who enjoys backend development, systems integration, API design, and solving complex technical challenges. Key Responsibilities API Development Design, develop, and maintain RESTful APIs and backend services. Build reusable components, libraries, and integration services. Ensure APIs meet performance, scalability, reliability, and security requirements. Participate in API versioning, lifecycle management, and backward compatibility planning. Troubleshoot and resolve API and integration issues across development, testing, and production environments. Documentation & Knowledge Sharing Create and maintain comprehensive API and integration documentation, including API specifications, developer guides, authentication and authorization requirements, onboarding materials, operational procedures, troubleshooting guides, and usage examples for internal and external consumers. Document system designs, technical decisions, and implementation approaches. Contribute to knowledge repositories and engineering best practices. Integration & Architecture Develop integrations between internal systems, external partners, and cloud services. Implement API solutions that align with enterprise architecture standards. Contribute to microservices and event-driven integration patterns. Support API gateway onboarding and policy implementation activities. Assist with API modernization and legacy system integration initiatives. Quality Engineering Develop unit, integration, and automated API tests. Participate in peer code reviews and design reviews. Support CI/CD adoption and deployment automation. Identify and address reliability, performance, and maintainability issues. Security & Compliance Implement secure authentication and authorization mechanisms using OAuth 2.0, JWT, and related standards. Follow secure coding practices and enterprise security requirements. Support vulnerability remediation and compliance initiatives. Ensure appropriate logging, monitoring, and auditing capabilities are implemented. Collaboration Participate in Agile/Scrum ceremonies and engineering planning activities. Collaborate with product, architecture, security, operations, and support teams. Communicate technical solutions effectively to technical and non-technical stakeholders. Contribute to continuous improvement of engineering standards and processes. Required Qualifications Education Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field, or equivalent practical experience. Experience 3+ years of professional software development experience. 2+ years of experience developing and supporting REST APIs. Experience building backend services using Java, C#, .NET, Spring Boot, or similar technologies. Experience working with distributed applications and service integrations. Experience using Git-based source control and CI/CD platforms. Technical Skills Strong understanding of REST API principles and HTTP protocols. Experience designing and implementing RESTful services and integrations. Experience with JSON, XML, and API integration patterns. Experience with relational databases and SQL. Knowledge of software design patterns and object-oriented programming. Familiarity with API security concepts and best practices including OAuth 2.0 and JWT. Experience with automated testing frameworks and API testing tools. Hands-on experience developing and deploying applications on Microsoft Azure. Experience with Kubernetes and containerized applications using Docker or similar technologies. Understanding of cloud-native application development, deployment, scaling, and operational best practices. Experience with CI/CD pipelines and DevOps practices. Preferred Qualifications Experience with Azure API Management (APIM). Experience with event-driven architectures and messaging platforms such as Azure Service Bus, Event Hubs, Kafka, or RabbitMQ. Experience producing API and technical documentation. Experience with monitoring and observability tools such as Azure Monitor, Application Insights, Splunk, Prometheus, Grafana, or OpenTelemetry. Familiarity with Infrastructure as Code tools such as Terraform, Bicep, or ARM templates. Experience in financial services, fintech, or other regulated industries. What We Value Strong analytical and problem-solving skills. Passion for building high-quality, maintainable software. Attention to detail and commitment to engineering excellence. Strong written and verbal communication skills. Ability to collaborate effectively in a cross-functional environment. Continuous learning mindset and willingness to adopt new technologies. Customer-focused approach to designing and delivering APIs. Ownership mindset with the ability to independently drive tasks to completion. Salary Range: $90,000 - $157,500 Annual The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ. Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit . About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at Read our CEO Statement Job Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Work Flexibility: Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the future of enterprise data solutions. In this role, you will drive complex data initiatives, influence technical strategy, and partner with teams across the organization to build scalable, high-impact data products. This is an opportunity to solve challenging business problems while mentoring fellow engineers and elevating data engineering best practices. What You Will Do Lead the architecture, development, and modernization of scalable enterprise data platforms that support global procurement analytics and business transformation. Define and help execute a multi-year data engineering strategy focused on platform scalability, reliability, automation, technical debt reduction, and long-term maintainability. Design, build, and optimize Azure-based data solutions using technologies such as Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Integrate and harmonize data across multiple ERP systems by standardizing supplier, purchasing, and master data into common enterprise data models. Partner with procurement analysts, architects, engineers, and business stakeholders to translate complex business needs into reusable, scalable data products and engineering solutions. Establish engineering standards, conduct architecture reviews, improve documentation, and mentor engineers to raise the overall technical capability of the team. Identify and implement AI-enabled approaches that accelerate development, improve data quality, automate documentation, support testing, and enhance analyst productivity. Evaluate and recommend tools, frameworks, patterns, and platform investments that improve performance, reliability, security, governance, and operational efficiency. Support the development of internal data products, APIs, and user-facing applications that simplify access to procurement insights and improve analyst productivity. Present technical recommendations, roadmap priorities, tradeoffs, and business impacts to technical and non-technical stakeholders, including leadership teams. What you need Required Bachelor's degree in Computer Science, Data Engineering, Data Science, Information Systems, Mathematics, Statistics, or a related technical field. 6+ years of experience in data engineering, analytics engineering, software engineering, or enterprise data platform development. Proven experience architecting, building, and modernizing scalable cloud-based data platforms in an enterprise environment. Hands-on experience with Azure-based data engineering technologies, including Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Strong proficiency in SQL and Python, with experience using Spark or similar distributed data processing frameworks. Experience designing reliable ETL/ELT pipelines, data warehouse or Lakehouse architectures, data models, and performance-optimized analytics solutions. Experience integrating data from multiple ERP or enterprise source systems and harmonizing inconsistent master, supplier, purchasing, or transactional data into common data models. Experience with API integrations, REST services, authentication, security, data governance, and production support practices. Demonstrated ability to establish engineering standards, conduct architecture reviews, improve documentation, mentor engineers, and influence technical direction without direct authority. Ability to partner with analysts, engineers, architects, and business stakeholders to translate complex business requirements into scalable, maintainable engineering solutions. Preferred Master's degree in Computer Science, Data Engineering, Data Science, Information Systems, Business Analytics, or a related technical field. Experience supporting procurement, supply chain, manufacturing, finance, or ERP analytics in a global enterprise environment. Experience building or modernizing enterprise data platforms, Lakehouse architectures, or cloud analytics ecosystems at scale. Hands-on experience with multiple ERP platforms, such as SAP ECC, SAP S/4HANA, Oracle, JD Edwards, Infor, QAD, or Microsoft Dynamics. Full-stack engineering experience, including React, Next.js, Vercel, API development, authentication, and internal web application development. Experience using AI-assisted engineering tools and workflows, such as GitHub Copilot, ChatGPT, Claude, Cursor, AI coding agents, AI-assisted testing, or AI-assisted documentation. Experience designing internal tools, data products, APIs, or analyst-facing applications that improve productivity and simplify access to insights. Experience leading cloud modernization, platform migration, technical debt reduction, automation, or data quality improvement initiatives. Experience with Power BI, Tableau, or similar business intelligence and visualization tools. Demonstrated curiosity and continuous learning mindset, with a track record of experimenting with emerging technologies and applying them to practical engineering or analytics use cases. United States of America Pay Ranges: USN: $118,000 - $196,700 USD Annual US5: $123,900 - $206,500 USD Annual US10: $129,800 - $216,400 USD Annual US15: $135,700 - $226,200 USD Annual US20: $141,600 - $236,000 USD Annual US30: $153,400 - $255,700 USD Annual View the U.S. work location and transparency guide to find the pay range for your location.Travel Percentage: 10%Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability.Stryker Corporation 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, or (c) consistent with the contractor's legal duty to furnish information.
09/24/2026
Full time
Work Flexibility: Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the future of enterprise data solutions. In this role, you will drive complex data initiatives, influence technical strategy, and partner with teams across the organization to build scalable, high-impact data products. This is an opportunity to solve challenging business problems while mentoring fellow engineers and elevating data engineering best practices. What You Will Do Lead the architecture, development, and modernization of scalable enterprise data platforms that support global procurement analytics and business transformation. Define and help execute a multi-year data engineering strategy focused on platform scalability, reliability, automation, technical debt reduction, and long-term maintainability. Design, build, and optimize Azure-based data solutions using technologies such as Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Integrate and harmonize data across multiple ERP systems by standardizing supplier, purchasing, and master data into common enterprise data models. Partner with procurement analysts, architects, engineers, and business stakeholders to translate complex business needs into reusable, scalable data products and engineering solutions. Establish engineering standards, conduct architecture reviews, improve documentation, and mentor engineers to raise the overall technical capability of the team. Identify and implement AI-enabled approaches that accelerate development, improve data quality, automate documentation, support testing, and enhance analyst productivity. Evaluate and recommend tools, frameworks, patterns, and platform investments that improve performance, reliability, security, governance, and operational efficiency. Support the development of internal data products, APIs, and user-facing applications that simplify access to procurement insights and improve analyst productivity. Present technical recommendations, roadmap priorities, tradeoffs, and business impacts to technical and non-technical stakeholders, including leadership teams. What you need Required Bachelor's degree in Computer Science, Data Engineering, Data Science, Information Systems, Mathematics, Statistics, or a related technical field. 6+ years of experience in data engineering, analytics engineering, software engineering, or enterprise data platform development. Proven experience architecting, building, and modernizing scalable cloud-based data platforms in an enterprise environment. Hands-on experience with Azure-based data engineering technologies, including Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Strong proficiency in SQL and Python, with experience using Spark or similar distributed data processing frameworks. Experience designing reliable ETL/ELT pipelines, data warehouse or Lakehouse architectures, data models, and performance-optimized analytics solutions. Experience integrating data from multiple ERP or enterprise source systems and harmonizing inconsistent master, supplier, purchasing, or transactional data into common data models. Experience with API integrations, REST services, authentication, security, data governance, and production support practices. Demonstrated ability to establish engineering standards, conduct architecture reviews, improve documentation, mentor engineers, and influence technical direction without direct authority. Ability to partner with analysts, engineers, architects, and business stakeholders to translate complex business requirements into scalable, maintainable engineering solutions. Preferred Master's degree in Computer Science, Data Engineering, Data Science, Information Systems, Business Analytics, or a related technical field. Experience supporting procurement, supply chain, manufacturing, finance, or ERP analytics in a global enterprise environment. Experience building or modernizing enterprise data platforms, Lakehouse architectures, or cloud analytics ecosystems at scale. Hands-on experience with multiple ERP platforms, such as SAP ECC, SAP S/4HANA, Oracle, JD Edwards, Infor, QAD, or Microsoft Dynamics. Full-stack engineering experience, including React, Next.js, Vercel, API development, authentication, and internal web application development. Experience using AI-assisted engineering tools and workflows, such as GitHub Copilot, ChatGPT, Claude, Cursor, AI coding agents, AI-assisted testing, or AI-assisted documentation. Experience designing internal tools, data products, APIs, or analyst-facing applications that improve productivity and simplify access to insights. Experience leading cloud modernization, platform migration, technical debt reduction, automation, or data quality improvement initiatives. Experience with Power BI, Tableau, or similar business intelligence and visualization tools. Demonstrated curiosity and continuous learning mindset, with a track record of experimenting with emerging technologies and applying them to practical engineering or analytics use cases. United States of America Pay Ranges: USN: $118,000 - $196,700 USD Annual US5: $123,900 - $206,500 USD Annual US10: $129,800 - $216,400 USD Annual US15: $135,700 - $226,200 USD Annual US20: $141,600 - $236,000 USD Annual US30: $153,400 - $255,700 USD Annual View the U.S. work location and transparency guide to find the pay range for your location.Travel Percentage: 10%Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability.Stryker Corporation 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, or (c) consistent with the contractor's legal duty to furnish information.
About the Role We are seeking an enthusiastic and motivated Junior Software Engineer to join our API Engineering team. In this role, you will help design, develop, test, document, and support REST APIs that power business applications, partner integrations, and client-facing services. You will work closely with senior engineers, architects, product managers, quality engineers, and platform teams to learn and apply modern software engineering practices while contributing to secure, scalable, and reliable APIs. This position is ideal for an early-career engineer who is eager to grow in backend development, systems integration, and API design, and who enjoys solving technical problems in a collaborative, mentorship-driven environment. Key Responsibilities API Development Assist in designing, developing, and maintaining RESTful APIs and backend services under the guidance of senior engineers. Build and maintain reusable components, libraries, and integration services. Help ensure APIs meet performance, reliability, and security requirements. Learn and apply API versioning and lifecycle management practices. Troubleshoot and help resolve API and integration issues across development and testing environments, escalating complex issues as needed. Documentation & Knowledge Sharing Create and maintain clear API and integration documentation, including API specifications, developer guides, and usage examples. Document technical work, implementation notes, and lessons learned. Contribute to team knowledge repositories and engineering best practices. Integration & Architecture Support the development of integrations between internal systems, external partners, and cloud services. Follow enterprise architecture standards when implementing API solutions. Learn and contribute to microservices and event-driven integration patterns. Assist with API gateway onboarding and basic policy implementation tasks. Quality Engineering Write unit, integration, and automated API tests with guidance from senior team members. Participate in peer code reviews and design reviews to learn team standards. Support CI/CD pipeline usage and basic deployment automation tasks. Help identify reliability, performance, and maintainability issues. Security & Compliance Learn and apply secure authentication and authorization mechanisms such as OAuth 2.0 and JWT. Follow secure coding practices and enterprise security requirements. Support vulnerability remediation activities as directed. Help ensure appropriate logging and monitoring is implemented in the services you build. Collaboration Actively participate in Agile/Scrum ceremonies and engineering planning activities. Collaborate with product, architecture, security, and operations teams. Communicate progress, questions, and technical ideas clearly to teammates and mentors. Seek feedback and apply it to continuously improve technical skills. Required Qualifications Education Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field (or equivalent practical experience, including internships, bootcamps, or personal projects). Experience 0-2 years of professional software development experience (internships, co-ops, and academic projects are valued). Some exposure to building or consuming REST APIs, through coursework, internships, or personal projects. Familiarity with at least one backend language/framework such as Java, C#, .NET, or Spring Boot. Basic experience with Git-based source control. Technical Skills Basic understanding of REST API principles and HTTP protocols. Familiarity with JSON and API integration concepts. Basic understanding of relational databases and SQL. Foundational knowledge of software design patterns and object-oriented programming. Willingness to learn API security concepts, including OAuth 2.0 and JWT. Exposure to automated testing frameworks (unit testing) is a plus. Interest in or coursework experience with cloud platforms such as Microsoft Azure. Curiosity about containerization technologies such as Docker and Kubernetes. Eagerness to learn CI/CD pipelines and DevOps practices. Preferred Qualifications Coursework, certifications, or personal projects involving Microsoft Azure. Exposure to messaging or event-driven concepts (e.g., Kafka, RabbitMQ, Azure Service Bus). Experience writing basic technical documentation. Familiarity with monitoring/logging concepts. Internship or academic experience in financial services, fintech, or other regulated industries. What We Value Strong desire to learn and grow as a software engineer. Analytical and problem-solving mindset. Attention to detail and commitment to writing quality code. Strong written and verbal communication skills. Ability to collaborate effectively and accept mentorship in a team environment. Growth mindset and willingness to adopt new technologies. Ownership mindset with the ability to drive assigned tasks to completion with support. Core Technologies REST APIs (foundational) Java, Spring Boot, C#, or .NET Git SQL Databases Basic OAuth 2.0 / JWT concepts Nice to Have Technologies Microsoft Azure Docker / Kubernetes (exposure) CI/CD Pipelines Kafka or similar messaging platforms Desired Traits Strong foundational engineering skills Eagerness to learn cloud-native development Security-aware mindset Good communication and documentation habits Ability to work effectively in Agile teams with mentorship Passion for building reliable software and growing into a stronger engineer Role Summary This job description is aligned for an entry-level/junior engineer joining an Azure-based REST API platform team. The role emphasizes hands-on learning, mentorship, and gradual ownership of API development, integrations, testing, documentation, and cloud-native application delivery under the guidance of senior engineers. Salary Range: $70,000 - $118,750 Annual The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ. Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit . About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at Read our CEO Statement Job Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
09/24/2026
Full time
About the Role We are seeking an enthusiastic and motivated Junior Software Engineer to join our API Engineering team. In this role, you will help design, develop, test, document, and support REST APIs that power business applications, partner integrations, and client-facing services. You will work closely with senior engineers, architects, product managers, quality engineers, and platform teams to learn and apply modern software engineering practices while contributing to secure, scalable, and reliable APIs. This position is ideal for an early-career engineer who is eager to grow in backend development, systems integration, and API design, and who enjoys solving technical problems in a collaborative, mentorship-driven environment. Key Responsibilities API Development Assist in designing, developing, and maintaining RESTful APIs and backend services under the guidance of senior engineers. Build and maintain reusable components, libraries, and integration services. Help ensure APIs meet performance, reliability, and security requirements. Learn and apply API versioning and lifecycle management practices. Troubleshoot and help resolve API and integration issues across development and testing environments, escalating complex issues as needed. Documentation & Knowledge Sharing Create and maintain clear API and integration documentation, including API specifications, developer guides, and usage examples. Document technical work, implementation notes, and lessons learned. Contribute to team knowledge repositories and engineering best practices. Integration & Architecture Support the development of integrations between internal systems, external partners, and cloud services. Follow enterprise architecture standards when implementing API solutions. Learn and contribute to microservices and event-driven integration patterns. Assist with API gateway onboarding and basic policy implementation tasks. Quality Engineering Write unit, integration, and automated API tests with guidance from senior team members. Participate in peer code reviews and design reviews to learn team standards. Support CI/CD pipeline usage and basic deployment automation tasks. Help identify reliability, performance, and maintainability issues. Security & Compliance Learn and apply secure authentication and authorization mechanisms such as OAuth 2.0 and JWT. Follow secure coding practices and enterprise security requirements. Support vulnerability remediation activities as directed. Help ensure appropriate logging and monitoring is implemented in the services you build. Collaboration Actively participate in Agile/Scrum ceremonies and engineering planning activities. Collaborate with product, architecture, security, and operations teams. Communicate progress, questions, and technical ideas clearly to teammates and mentors. Seek feedback and apply it to continuously improve technical skills. Required Qualifications Education Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field (or equivalent practical experience, including internships, bootcamps, or personal projects). Experience 0-2 years of professional software development experience (internships, co-ops, and academic projects are valued). Some exposure to building or consuming REST APIs, through coursework, internships, or personal projects. Familiarity with at least one backend language/framework such as Java, C#, .NET, or Spring Boot. Basic experience with Git-based source control. Technical Skills Basic understanding of REST API principles and HTTP protocols. Familiarity with JSON and API integration concepts. Basic understanding of relational databases and SQL. Foundational knowledge of software design patterns and object-oriented programming. Willingness to learn API security concepts, including OAuth 2.0 and JWT. Exposure to automated testing frameworks (unit testing) is a plus. Interest in or coursework experience with cloud platforms such as Microsoft Azure. Curiosity about containerization technologies such as Docker and Kubernetes. Eagerness to learn CI/CD pipelines and DevOps practices. Preferred Qualifications Coursework, certifications, or personal projects involving Microsoft Azure. Exposure to messaging or event-driven concepts (e.g., Kafka, RabbitMQ, Azure Service Bus). Experience writing basic technical documentation. Familiarity with monitoring/logging concepts. Internship or academic experience in financial services, fintech, or other regulated industries. What We Value Strong desire to learn and grow as a software engineer. Analytical and problem-solving mindset. Attention to detail and commitment to writing quality code. Strong written and verbal communication skills. Ability to collaborate effectively and accept mentorship in a team environment. Growth mindset and willingness to adopt new technologies. Ownership mindset with the ability to drive assigned tasks to completion with support. Core Technologies REST APIs (foundational) Java, Spring Boot, C#, or .NET Git SQL Databases Basic OAuth 2.0 / JWT concepts Nice to Have Technologies Microsoft Azure Docker / Kubernetes (exposure) CI/CD Pipelines Kafka or similar messaging platforms Desired Traits Strong foundational engineering skills Eagerness to learn cloud-native development Security-aware mindset Good communication and documentation habits Ability to work effectively in Agile teams with mentorship Passion for building reliable software and growing into a stronger engineer Role Summary This job description is aligned for an entry-level/junior engineer joining an Azure-based REST API platform team. The role emphasizes hands-on learning, mentorship, and gradual ownership of API development, integrations, testing, documentation, and cloud-native application delivery under the guidance of senior engineers. Salary Range: $70,000 - $118,750 Annual The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ. Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit . About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at Read our CEO Statement Job Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Work Flexibility: Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the future of enterprise data solutions. In this role, you will drive complex data initiatives, influence technical strategy, and partner with teams across the organization to build scalable, high-impact data products. This is an opportunity to solve challenging business problems while mentoring fellow engineers and elevating data engineering best practices. What You Will Do Lead the architecture, development, and modernization of scalable enterprise data platforms that support global procurement analytics and business transformation. Define and help execute a multi-year data engineering strategy focused on platform scalability, reliability, automation, technical debt reduction, and long-term maintainability. Design, build, and optimize Azure-based data solutions using technologies such as Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Integrate and harmonize data across multiple ERP systems by standardizing supplier, purchasing, and master data into common enterprise data models. Partner with procurement analysts, architects, engineers, and business stakeholders to translate complex business needs into reusable, scalable data products and engineering solutions. Establish engineering standards, conduct architecture reviews, improve documentation, and mentor engineers to raise the overall technical capability of the team. Identify and implement AI-enabled approaches that accelerate development, improve data quality, automate documentation, support testing, and enhance analyst productivity. Evaluate and recommend tools, frameworks, patterns, and platform investments that improve performance, reliability, security, governance, and operational efficiency. Support the development of internal data products, APIs, and user-facing applications that simplify access to procurement insights and improve analyst productivity. Present technical recommendations, roadmap priorities, tradeoffs, and business impacts to technical and non-technical stakeholders, including leadership teams. What you need Required Bachelor's degree in Computer Science, Data Engineering, Data Science, Information Systems, Mathematics, Statistics, or a related technical field. 6+ years of experience in data engineering, analytics engineering, software engineering, or enterprise data platform development. Proven experience architecting, building, and modernizing scalable cloud-based data platforms in an enterprise environment. Hands-on experience with Azure-based data engineering technologies, including Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Strong proficiency in SQL and Python, with experience using Spark or similar distributed data processing frameworks. Experience designing reliable ETL/ELT pipelines, data warehouse or Lakehouse architectures, data models, and performance-optimized analytics solutions. Experience integrating data from multiple ERP or enterprise source systems and harmonizing inconsistent master, supplier, purchasing, or transactional data into common data models. Experience with API integrations, REST services, authentication, security, data governance, and production support practices. Demonstrated ability to establish engineering standards, conduct architecture reviews, improve documentation, mentor engineers, and influence technical direction without direct authority. Ability to partner with analysts, engineers, architects, and business stakeholders to translate complex business requirements into scalable, maintainable engineering solutions. Preferred Master's degree in Computer Science, Data Engineering, Data Science, Information Systems, Business Analytics, or a related technical field. Experience supporting procurement, supply chain, manufacturing, finance, or ERP analytics in a global enterprise environment. Experience building or modernizing enterprise data platforms, Lakehouse architectures, or cloud analytics ecosystems at scale. Hands-on experience with multiple ERP platforms, such as SAP ECC, SAP S/4HANA, Oracle, JD Edwards, Infor, QAD, or Microsoft Dynamics. Full-stack engineering experience, including React, Next.js, Vercel, API development, authentication, and internal web application development. Experience using AI-assisted engineering tools and workflows, such as GitHub Copilot, ChatGPT, Claude, Cursor, AI coding agents, AI-assisted testing, or AI-assisted documentation. Experience designing internal tools, data products, APIs, or analyst-facing applications that improve productivity and simplify access to insights. Experience leading cloud modernization, platform migration, technical debt reduction, automation, or data quality improvement initiatives. Experience with Power BI, Tableau, or similar business intelligence and visualization tools. Demonstrated curiosity and continuous learning mindset, with a track record of experimenting with emerging technologies and applying them to practical engineering or analytics use cases. United States of America Pay Ranges: USN: $118,000 - $196,700 USD Annual US5: $123,900 - $206,500 USD Annual US10: $129,800 - $216,400 USD Annual US15: $135,700 - $226,200 USD Annual US20: $141,600 - $236,000 USD Annual US30: $153,400 - $255,700 USD Annual View the U.S. work location and transparency guide to find the pay range for your location.Travel Percentage: 10%Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability.Stryker Corporation 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, or (c) consistent with the contractor's legal duty to furnish information.
09/24/2026
Full time
Work Flexibility: Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the future of enterprise data solutions. In this role, you will drive complex data initiatives, influence technical strategy, and partner with teams across the organization to build scalable, high-impact data products. This is an opportunity to solve challenging business problems while mentoring fellow engineers and elevating data engineering best practices. What You Will Do Lead the architecture, development, and modernization of scalable enterprise data platforms that support global procurement analytics and business transformation. Define and help execute a multi-year data engineering strategy focused on platform scalability, reliability, automation, technical debt reduction, and long-term maintainability. Design, build, and optimize Azure-based data solutions using technologies such as Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Integrate and harmonize data across multiple ERP systems by standardizing supplier, purchasing, and master data into common enterprise data models. Partner with procurement analysts, architects, engineers, and business stakeholders to translate complex business needs into reusable, scalable data products and engineering solutions. Establish engineering standards, conduct architecture reviews, improve documentation, and mentor engineers to raise the overall technical capability of the team. Identify and implement AI-enabled approaches that accelerate development, improve data quality, automate documentation, support testing, and enhance analyst productivity. Evaluate and recommend tools, frameworks, patterns, and platform investments that improve performance, reliability, security, governance, and operational efficiency. Support the development of internal data products, APIs, and user-facing applications that simplify access to procurement insights and improve analyst productivity. Present technical recommendations, roadmap priorities, tradeoffs, and business impacts to technical and non-technical stakeholders, including leadership teams. What you need Required Bachelor's degree in Computer Science, Data Engineering, Data Science, Information Systems, Mathematics, Statistics, or a related technical field. 6+ years of experience in data engineering, analytics engineering, software engineering, or enterprise data platform development. Proven experience architecting, building, and modernizing scalable cloud-based data platforms in an enterprise environment. Hands-on experience with Azure-based data engineering technologies, including Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Strong proficiency in SQL and Python, with experience using Spark or similar distributed data processing frameworks. Experience designing reliable ETL/ELT pipelines, data warehouse or Lakehouse architectures, data models, and performance-optimized analytics solutions. Experience integrating data from multiple ERP or enterprise source systems and harmonizing inconsistent master, supplier, purchasing, or transactional data into common data models. Experience with API integrations, REST services, authentication, security, data governance, and production support practices. Demonstrated ability to establish engineering standards, conduct architecture reviews, improve documentation, mentor engineers, and influence technical direction without direct authority. Ability to partner with analysts, engineers, architects, and business stakeholders to translate complex business requirements into scalable, maintainable engineering solutions. Preferred Master's degree in Computer Science, Data Engineering, Data Science, Information Systems, Business Analytics, or a related technical field. Experience supporting procurement, supply chain, manufacturing, finance, or ERP analytics in a global enterprise environment. Experience building or modernizing enterprise data platforms, Lakehouse architectures, or cloud analytics ecosystems at scale. Hands-on experience with multiple ERP platforms, such as SAP ECC, SAP S/4HANA, Oracle, JD Edwards, Infor, QAD, or Microsoft Dynamics. Full-stack engineering experience, including React, Next.js, Vercel, API development, authentication, and internal web application development. Experience using AI-assisted engineering tools and workflows, such as GitHub Copilot, ChatGPT, Claude, Cursor, AI coding agents, AI-assisted testing, or AI-assisted documentation. Experience designing internal tools, data products, APIs, or analyst-facing applications that improve productivity and simplify access to insights. Experience leading cloud modernization, platform migration, technical debt reduction, automation, or data quality improvement initiatives. Experience with Power BI, Tableau, or similar business intelligence and visualization tools. Demonstrated curiosity and continuous learning mindset, with a track record of experimenting with emerging technologies and applying them to practical engineering or analytics use cases. United States of America Pay Ranges: USN: $118,000 - $196,700 USD Annual US5: $123,900 - $206,500 USD Annual US10: $129,800 - $216,400 USD Annual US15: $135,700 - $226,200 USD Annual US20: $141,600 - $236,000 USD Annual US30: $153,400 - $255,700 USD Annual View the U.S. work location and transparency guide to find the pay range for your location.Travel Percentage: 10%Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability.Stryker Corporation 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, or (c) consistent with the contractor's legal duty to furnish information.
Who we are looking for We are seeking a strategic technology leader to serve as Vice President, Asset Servicing Application Development and Maintenance. This leader will be responsible for managing a critical settlement application. This role requires interaction and support for an external settlement depository and related vendors. The successful candidate will manage development, oversee technology execution, engineering, delivery and modernization. They will drive innovation by leveraging AI capabilities, automation, and modern engineering practices, while ensuring operational resilience, regulatory compliance, and exceptional client outcomes. This application manager will partner closely with business, product, operations, risk, and enterprise technology leaders to accelerate growth, modernization, improve scalability and productivity, and enhance the overall client experience. Why this role is important to us The team you will be joining is part of Global Technology Services (GTS), which delivers enterprise technology capabilities that support State Street's global businesses. Within GTS, this role is aligned to the Custody value stream. The position plays a pivotal role in shaping technology strategy and execution, ensuring solutions are built for reliability, scalability, and strong controls while meeting stringent regulatory, operational, and client expectations. What you will be responsible for We are looking for a candidate who is highly motivated, energetic, and technologically savvy. Execute the technology strategy and roadmap for Core Custody aligned to business priorities, client needs, and enterprise objectives. Ensure delivery excellence through highly resilient, scalable, secure, and efficient technology solutions. Accountable for platform stability, operational resiliency, service quality, regulatory adherence, and achievement of business and client outcomes. Partner closely with Product, Risk, and Client-facing teams to enhance capabilities, enable new products, support client growth, and improve competitive differentiation. Drive adoption of modern architectures, engineering practices, data platforms, and automation capabilities across the application. Foster a culture of innovation, accountability, continuous learning, and technology excellence. What we value These skills will help you succeed in this role: Strong domain expertise in securities settlement. Expertise building and operating highly resilient technology platforms. Strong knowledge of modern application architectures, artificial intelligence, public cloud technologies, DevOps practices, automation, and software engineering excellence. Deep understanding of technology risk, cybersecurity, controls, and governance frameworks. Exceptional stakeholder management and communication skills with the ability to influence across the organization. Education & Preferred Qualifications Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline. 10+ years of technology leadership experience, including significant experience within financial services. Proven track record delivering application solutions for our business partners. Experience operating effectively and managing across multiple geographies. Additional Requirements Experience with institutional securities settlement Experience with MQ, Oracle, PL/SQL, Shell scripting, J2EE, Java web development. Exceptional stakeholder management, communication, and influencing skills. Willingness to engage across multiple regions and time zones. Work Requirement Onsite with minimum 4 days in office 8:00 AM to 5 PM - Mandatory weekday presence between 8am-10am Salary Range: $120,000 - $202,500 Annual The range quoted above applies to the role in the location specified. If the candidate would ultimately work outside of the location above, the applicable range could differ. Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit . About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at Read our CEO Statement Job Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
09/24/2026
Full time
Who we are looking for We are seeking a strategic technology leader to serve as Vice President, Asset Servicing Application Development and Maintenance. This leader will be responsible for managing a critical settlement application. This role requires interaction and support for an external settlement depository and related vendors. The successful candidate will manage development, oversee technology execution, engineering, delivery and modernization. They will drive innovation by leveraging AI capabilities, automation, and modern engineering practices, while ensuring operational resilience, regulatory compliance, and exceptional client outcomes. This application manager will partner closely with business, product, operations, risk, and enterprise technology leaders to accelerate growth, modernization, improve scalability and productivity, and enhance the overall client experience. Why this role is important to us The team you will be joining is part of Global Technology Services (GTS), which delivers enterprise technology capabilities that support State Street's global businesses. Within GTS, this role is aligned to the Custody value stream. The position plays a pivotal role in shaping technology strategy and execution, ensuring solutions are built for reliability, scalability, and strong controls while meeting stringent regulatory, operational, and client expectations. What you will be responsible for We are looking for a candidate who is highly motivated, energetic, and technologically savvy. Execute the technology strategy and roadmap for Core Custody aligned to business priorities, client needs, and enterprise objectives. Ensure delivery excellence through highly resilient, scalable, secure, and efficient technology solutions. Accountable for platform stability, operational resiliency, service quality, regulatory adherence, and achievement of business and client outcomes. Partner closely with Product, Risk, and Client-facing teams to enhance capabilities, enable new products, support client growth, and improve competitive differentiation. Drive adoption of modern architectures, engineering practices, data platforms, and automation capabilities across the application. Foster a culture of innovation, accountability, continuous learning, and technology excellence. What we value These skills will help you succeed in this role: Strong domain expertise in securities settlement. Expertise building and operating highly resilient technology platforms. Strong knowledge of modern application architectures, artificial intelligence, public cloud technologies, DevOps practices, automation, and software engineering excellence. Deep understanding of technology risk, cybersecurity, controls, and governance frameworks. Exceptional stakeholder management and communication skills with the ability to influence across the organization. Education & Preferred Qualifications Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline. 10+ years of technology leadership experience, including significant experience within financial services. Proven track record delivering application solutions for our business partners. Experience operating effectively and managing across multiple geographies. Additional Requirements Experience with institutional securities settlement Experience with MQ, Oracle, PL/SQL, Shell scripting, J2EE, Java web development. Exceptional stakeholder management, communication, and influencing skills. Willingness to engage across multiple regions and time zones. Work Requirement Onsite with minimum 4 days in office 8:00 AM to 5 PM - Mandatory weekday presence between 8am-10am Salary Range: $120,000 - $202,500 Annual The range quoted above applies to the role in the location specified. If the candidate would ultimately work outside of the location above, the applicable range could differ. Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit . About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at Read our CEO Statement Job Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Values & Innovation At Under Armour, we are committed to empowering those who strive for more, and the company's values - Act Sustainably, Celebrate the Wins, Fight on Together, Love Athletes and Stand for Equality - serve as both a roadmap for our teams and the qualities expected of every teammate. Our Values define and unite us, the beliefs that are the red thread that connects everyone at Under Armour. Our values are rallying cries, reminding us why we're here, and fueling everything we do. Our pursuit of better begins with innovation and with our team's mission of being the best. With us, you get the freedom to go further - no matter your role. That means developing, delivering, and selling the state-of-the-art products and digital tools that make top performers even better. If you are a current Under Armour teammate, apply to this position on the Internal Career Site Here. Purpose of Role The Lead Salesforce Developer is responsible for designing, developing, and scaling enterprise-grade solutions on the Salesforce platform. This role provides technical leadership across the full development lifecycle, partnering with product owners, architects, and business stakeholders to deliver high-quality, scalable, and secure solutions. The ideal candidate will drive best practices in development, integration, and release management while mentoring a team of developers. This role enables the organization to maximize value from Salesforce by delivering reliable, efficient, and innovative customer experience solutions. Your Impact Lead the end-to-end design and development of Salesforce solutions across Service Cloud, Experience Cloud, Sales Cloud, Agentforce Agents and numerous integrations Architect scalable custom solutions using Apex, Lightning Web Components (LWC), and Salesforce platform features Partner with product owners and stakeholders to translate business requirements into technical designs and solution architecture Oversee code quality through reviews, testing strategies, and adherence to development best practices Drive integration design and implementation using REST/SOAP APIs, event-driven patterns, and middleware tools Mentor and guide developers, promoting technical growth and consistent engineering standards across the team Manage deployments and release processes, ensuring stability across environments Troubleshoot complex technical issues and perform root cause analysis to ensure system reliability Establish and enforce platform governance, security, and performance optimization standards Collaborate with cross-functional teams (architecture, QA, business stakeholders) to deliver aligned and high-impact solutions Qualifications Bachelor's degree with typically 8 years of relevant experience OR Master's degree with typically 6 years of relevant experience OR typically 12 years of relevant work experience without degree 5+ years of Salesforce platform experience Deep expertise in Salesforce development (Apex, LWC, SOQL, Flow) Strong experience designing and implementing integrations using APIs, middleware, and external systems Proven experience architecting scalable solutions for complex, enterprise-level business and technical challenges Demonstrated ability to translate ambiguous business requirements into structured, high-quality technical solutions Proven experience leading development efforts and mentoring teams in an Agile delivery model Workplace Location Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross-functional teams) Work Schedule: Candidates must reside within a commutable distance to our corporate headquarters in Baltimore, Maryland, as periodic on-site attendance may be required. Licenses/Certifications: (Preferred not required) Salesforce certifications such as: Platform Developer I/II or Architect certifications Experience with AgentForce Salesforce Service Cloud Consultant Certification or Salesforce Sales Cloud Consultant Certification Sponsorship Eligibility: UA does not offer sponsorship of job applicants for employment-based work authorization for this position at this time. Relocation No relocation provided Base Compensation $125,000.00-$165,000.00 USD Most new hires fall within this range and have the opportunity to earn more over time. Initial placement within the salary range, however, is based on an individual's relevant knowledge, skills and experience for the position. UA is committed to helping our teammates succeed and advance in their careers. Base salary is only one component of our competitive Total Rewards package. Benefits & Perks Paid "UA Give Back" Volunteer Days: Work alongside your team to support initiatives in your local community Under Armour Merchandise Discounts Competitive 401(k) plan matching Maternity and Parental Leave for eligible and FMLA-eligible teammates Health & fitness benefits, discounts and resources- We offer teammates across the country programs to promote physical activity and overall well-being Our Commitment to Equal Opportunity At Under Armour, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion or belief, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, family or paternal status and any other characteristic protected by applicable law. Under Armour seeks to recruit, develop and retain the most talented people representing a wide variety of backgrounds and perspectives. If a reasonable accommodation is needed to participate in the job application or interview process, please contact our Human Resources team via .
09/24/2026
Full time
Values & Innovation At Under Armour, we are committed to empowering those who strive for more, and the company's values - Act Sustainably, Celebrate the Wins, Fight on Together, Love Athletes and Stand for Equality - serve as both a roadmap for our teams and the qualities expected of every teammate. Our Values define and unite us, the beliefs that are the red thread that connects everyone at Under Armour. Our values are rallying cries, reminding us why we're here, and fueling everything we do. Our pursuit of better begins with innovation and with our team's mission of being the best. With us, you get the freedom to go further - no matter your role. That means developing, delivering, and selling the state-of-the-art products and digital tools that make top performers even better. If you are a current Under Armour teammate, apply to this position on the Internal Career Site Here. Purpose of Role The Lead Salesforce Developer is responsible for designing, developing, and scaling enterprise-grade solutions on the Salesforce platform. This role provides technical leadership across the full development lifecycle, partnering with product owners, architects, and business stakeholders to deliver high-quality, scalable, and secure solutions. The ideal candidate will drive best practices in development, integration, and release management while mentoring a team of developers. This role enables the organization to maximize value from Salesforce by delivering reliable, efficient, and innovative customer experience solutions. Your Impact Lead the end-to-end design and development of Salesforce solutions across Service Cloud, Experience Cloud, Sales Cloud, Agentforce Agents and numerous integrations Architect scalable custom solutions using Apex, Lightning Web Components (LWC), and Salesforce platform features Partner with product owners and stakeholders to translate business requirements into technical designs and solution architecture Oversee code quality through reviews, testing strategies, and adherence to development best practices Drive integration design and implementation using REST/SOAP APIs, event-driven patterns, and middleware tools Mentor and guide developers, promoting technical growth and consistent engineering standards across the team Manage deployments and release processes, ensuring stability across environments Troubleshoot complex technical issues and perform root cause analysis to ensure system reliability Establish and enforce platform governance, security, and performance optimization standards Collaborate with cross-functional teams (architecture, QA, business stakeholders) to deliver aligned and high-impact solutions Qualifications Bachelor's degree with typically 8 years of relevant experience OR Master's degree with typically 6 years of relevant experience OR typically 12 years of relevant work experience without degree 5+ years of Salesforce platform experience Deep expertise in Salesforce development (Apex, LWC, SOQL, Flow) Strong experience designing and implementing integrations using APIs, middleware, and external systems Proven experience architecting scalable solutions for complex, enterprise-level business and technical challenges Demonstrated ability to translate ambiguous business requirements into structured, high-quality technical solutions Proven experience leading development efforts and mentoring teams in an Agile delivery model Workplace Location Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross-functional teams) Work Schedule: Candidates must reside within a commutable distance to our corporate headquarters in Baltimore, Maryland, as periodic on-site attendance may be required. Licenses/Certifications: (Preferred not required) Salesforce certifications such as: Platform Developer I/II or Architect certifications Experience with AgentForce Salesforce Service Cloud Consultant Certification or Salesforce Sales Cloud Consultant Certification Sponsorship Eligibility: UA does not offer sponsorship of job applicants for employment-based work authorization for this position at this time. Relocation No relocation provided Base Compensation $125,000.00-$165,000.00 USD Most new hires fall within this range and have the opportunity to earn more over time. Initial placement within the salary range, however, is based on an individual's relevant knowledge, skills and experience for the position. UA is committed to helping our teammates succeed and advance in their careers. Base salary is only one component of our competitive Total Rewards package. Benefits & Perks Paid "UA Give Back" Volunteer Days: Work alongside your team to support initiatives in your local community Under Armour Merchandise Discounts Competitive 401(k) plan matching Maternity and Parental Leave for eligible and FMLA-eligible teammates Health & fitness benefits, discounts and resources- We offer teammates across the country programs to promote physical activity and overall well-being Our Commitment to Equal Opportunity At Under Armour, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion or belief, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, family or paternal status and any other characteristic protected by applicable law. Under Armour seeks to recruit, develop and retain the most talented people representing a wide variety of backgrounds and perspectives. If a reasonable accommodation is needed to participate in the job application or interview process, please contact our Human Resources team via .
This is a critical, high-visibility role that offers the opportunity to make a significant impact on the future success of a large Federal healthcare modernization program. A successful candidate should be an experienced project manager who is a problem solver and is comfortable working with all levels of stakeholders. Candidate should be able to multi-task under pressure and perform tasks such as technical analysis and troubleshooting. Responsibilities Responsibilities include, but are not limited to, the following: Oversee delivery of enterprise Federal healthcare data migration objectives including extract, transformation and loading activities from myriad legacy data sources to the future Oracle solutions. Coordinate and complete projects on time, within budget and within scope. Oversee all aspects of project delivery, including schedule management, resource assignments, and status reporting. Provide oversight and guidance for multiple teams across multiple Oracle organizations. Teams include consultants, developers, engineers, operations, support, contracting, operational excellence, communications, reporting, etc. Prepare reports for upper management regarding status and health of projects. Work directly with clients and vendors to ensure deliverables are created and submitted in accordance with contractual requirements and terms. Coordinate with other data migration project managers to ensure that a delivery processes are deconflicted and aligned with dependent processes and projects. Coordinate with Oracle Health delivery teams and PMO on status reporting, updates to the integrated master schedule (IMS), and executive level presentations. Document, brief, and escalate risks and issues; plan and execute mitigation strategies for risks and issues. Communicate defined process and procedures to team members and ensure the process and procedures are being followed. This role requires a motivated self-starter who can operate with extreme clarity and/or when the requirements are ambiguous. This role requires a strong understanding of schedule, risk and issue management. 25% travel (DC metro area) Top skills or competencies include the following: Project management (including SDLC & PMLC) Issue and risk management Technical documentation review (diagrams, data flows, workflows, etc.) Application architecture and design Requirements analysis Business and management reporting Software development (any type such as Waterfall, Agile, Hybrid) Education, Certifications, or Experience At least 4-year Bachelor's degree in Information Systems/Technology or equivalent At least 3-5 years in enterprise software deployment At least 5 years in Healthcare IS/IT role Desired Experience Application data migration experience (ETL approach) Technical requirements development experience Contract or requirements management experience Cerner Millennium database, system build, or application experience Cerner Millennium interface development Cerner HealtheIntent population health experience (consultant/analyst, developer, etc.) Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $81,700 to $166,100 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling 1- in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
09/24/2026
Full time
This is a critical, high-visibility role that offers the opportunity to make a significant impact on the future success of a large Federal healthcare modernization program. A successful candidate should be an experienced project manager who is a problem solver and is comfortable working with all levels of stakeholders. Candidate should be able to multi-task under pressure and perform tasks such as technical analysis and troubleshooting. Responsibilities Responsibilities include, but are not limited to, the following: Oversee delivery of enterprise Federal healthcare data migration objectives including extract, transformation and loading activities from myriad legacy data sources to the future Oracle solutions. Coordinate and complete projects on time, within budget and within scope. Oversee all aspects of project delivery, including schedule management, resource assignments, and status reporting. Provide oversight and guidance for multiple teams across multiple Oracle organizations. Teams include consultants, developers, engineers, operations, support, contracting, operational excellence, communications, reporting, etc. Prepare reports for upper management regarding status and health of projects. Work directly with clients and vendors to ensure deliverables are created and submitted in accordance with contractual requirements and terms. Coordinate with other data migration project managers to ensure that a delivery processes are deconflicted and aligned with dependent processes and projects. Coordinate with Oracle Health delivery teams and PMO on status reporting, updates to the integrated master schedule (IMS), and executive level presentations. Document, brief, and escalate risks and issues; plan and execute mitigation strategies for risks and issues. Communicate defined process and procedures to team members and ensure the process and procedures are being followed. This role requires a motivated self-starter who can operate with extreme clarity and/or when the requirements are ambiguous. This role requires a strong understanding of schedule, risk and issue management. 25% travel (DC metro area) Top skills or competencies include the following: Project management (including SDLC & PMLC) Issue and risk management Technical documentation review (diagrams, data flows, workflows, etc.) Application architecture and design Requirements analysis Business and management reporting Software development (any type such as Waterfall, Agile, Hybrid) Education, Certifications, or Experience At least 4-year Bachelor's degree in Information Systems/Technology or equivalent At least 3-5 years in enterprise software deployment At least 5 years in Healthcare IS/IT role Desired Experience Application data migration experience (ETL approach) Technical requirements development experience Contract or requirements management experience Cerner Millennium database, system build, or application experience Cerner Millennium interface development Cerner HealtheIntent population health experience (consultant/analyst, developer, etc.) Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $81,700 to $166,100 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling 1- in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
Req ID: 388019 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Systems Administration Advisor to join our team in Plano, Texas (US-TX), United States (US). This is a hybrid role based in Plano, Texas , with regular onsite presence required at the NTT DATA Headquarters for team collaboration, project planning, stakeholder engagement, and key operational activities. The role combines remote work with in-office participation to support effective cross-functional partnership and platform delivery. Position Summary We are seeking an experienced Epic IAM & Security Subject Matter Expert (SME) to provide advanced technical leadership and Level 4 support for Epic security, identity and access management (IAM), authentication, and integrations. This role is responsible for security architecture, complex troubleshooting, access governance, and ensuring secure, compliant access across the Epic ecosystem. The ideal candidate will collaborate closely with Epic application teams, IAM, Cybersecurity, Infrastructure, Active Directory/Entra ID administrators, and business stakeholders to deliver secure, scalable, and compliant solutions. Key Responsibilities Epic Security & Access Management Manage and support Epic security models, roles, profiles, classes, and access controls. Troubleshoot complex authentication, authorization, and user access issues. Support privileged and sensitive access management across Epic environments. Conduct access reviews and support audit and compliance activities. Implement least-privilege and segregation-of-duties controls. Identity & Access Management (IAM) Integrate Epic with enterprise IAM solutions including Active Directory, Entra ID, SailPoint, Saviynt, ServiceNow, MFA, and SSO platforms. Support Joiner-Mover-Leaver (JML) processes and automated provisioning/deprovisioning. Troubleshoot identity synchronization, federation, and provisioning issues. Authentication & Single Sign-On Support and troubleshoot SSO, SAML, OAuth/OIDC, MFA, and federation services. Analyze authentication flows, certificates, tokens, and conditional access configurations. Resolve complex access and authentication incidents across interconnected systems. Epic Integrations & Interoperability Support integrations between Epic and enterprise applications. Troubleshoot API, web service, HL7, and FHIR-based integrations. Coordinate resolution of interface and interoperability issues with technical teams. Incident, Problem & Technical Leadership Lead resolution of critical P1/P2/P3 incidents. Perform root cause analysis (RCA) and implement preventive solutions. Serve as the highest technical escalation point for Epic IAM and Security issues. Mentor and provide guidance to L1-L3 support teams. Architecture, Compliance & Automation Design and enhance secure IAM and access management solutions. Support HIPAA, ITGC, audit, and compliance requirements. Develop automation using PowerShell, REST APIs, and scripting technologies. Drive process improvements and operational efficiencies. Required Qualifications 5+ years of experience in Identity & Access Management, Security Administration, or Healthcare IT Security. 3+ years of experience supporting Epic Security and Access Management. Hands-on experience with: Epic Security (Roles, Profiles, Security Classes, Access Controls) Microsoft Active Directory & Entra ID SSO, SAML, OAuth/OIDC, MFA, and Federation Services IAM/IGA platforms such as SailPoint or Saviynt ServiceNow integration and workflow processes Experience supporting automated provisioning and JML processes. Strong troubleshooting skills across access, identity, authentication, and integration domains. Experience with PowerShell, REST APIs, and automation scripting. Understanding of healthcare compliance requirements including HIPAA. Preferred Skills Epic Security Certification. Experience with Epic interoperability technologies including HL7 and FHIR. Knowledge of Privileged Access Management (PAM) solutions. Experience with Conditional Access and Zero Trust security frameworks. Familiarity with cloud identity and access governance best practices. Experience supporting healthcare environments and clinical applications. Strong stakeholder management, communication, and technical leadership skills. NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role will depend on the location of the successful candidate. For candidates in either of these locations, the starting pay range is $117,600- $156,800k. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. If the position offered in temporary, the position will not be eligible for incentive compensation. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
09/24/2026
Full time
Req ID: 388019 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Systems Administration Advisor to join our team in Plano, Texas (US-TX), United States (US). This is a hybrid role based in Plano, Texas , with regular onsite presence required at the NTT DATA Headquarters for team collaboration, project planning, stakeholder engagement, and key operational activities. The role combines remote work with in-office participation to support effective cross-functional partnership and platform delivery. Position Summary We are seeking an experienced Epic IAM & Security Subject Matter Expert (SME) to provide advanced technical leadership and Level 4 support for Epic security, identity and access management (IAM), authentication, and integrations. This role is responsible for security architecture, complex troubleshooting, access governance, and ensuring secure, compliant access across the Epic ecosystem. The ideal candidate will collaborate closely with Epic application teams, IAM, Cybersecurity, Infrastructure, Active Directory/Entra ID administrators, and business stakeholders to deliver secure, scalable, and compliant solutions. Key Responsibilities Epic Security & Access Management Manage and support Epic security models, roles, profiles, classes, and access controls. Troubleshoot complex authentication, authorization, and user access issues. Support privileged and sensitive access management across Epic environments. Conduct access reviews and support audit and compliance activities. Implement least-privilege and segregation-of-duties controls. Identity & Access Management (IAM) Integrate Epic with enterprise IAM solutions including Active Directory, Entra ID, SailPoint, Saviynt, ServiceNow, MFA, and SSO platforms. Support Joiner-Mover-Leaver (JML) processes and automated provisioning/deprovisioning. Troubleshoot identity synchronization, federation, and provisioning issues. Authentication & Single Sign-On Support and troubleshoot SSO, SAML, OAuth/OIDC, MFA, and federation services. Analyze authentication flows, certificates, tokens, and conditional access configurations. Resolve complex access and authentication incidents across interconnected systems. Epic Integrations & Interoperability Support integrations between Epic and enterprise applications. Troubleshoot API, web service, HL7, and FHIR-based integrations. Coordinate resolution of interface and interoperability issues with technical teams. Incident, Problem & Technical Leadership Lead resolution of critical P1/P2/P3 incidents. Perform root cause analysis (RCA) and implement preventive solutions. Serve as the highest technical escalation point for Epic IAM and Security issues. Mentor and provide guidance to L1-L3 support teams. Architecture, Compliance & Automation Design and enhance secure IAM and access management solutions. Support HIPAA, ITGC, audit, and compliance requirements. Develop automation using PowerShell, REST APIs, and scripting technologies. Drive process improvements and operational efficiencies. Required Qualifications 5+ years of experience in Identity & Access Management, Security Administration, or Healthcare IT Security. 3+ years of experience supporting Epic Security and Access Management. Hands-on experience with: Epic Security (Roles, Profiles, Security Classes, Access Controls) Microsoft Active Directory & Entra ID SSO, SAML, OAuth/OIDC, MFA, and Federation Services IAM/IGA platforms such as SailPoint or Saviynt ServiceNow integration and workflow processes Experience supporting automated provisioning and JML processes. Strong troubleshooting skills across access, identity, authentication, and integration domains. Experience with PowerShell, REST APIs, and automation scripting. Understanding of healthcare compliance requirements including HIPAA. Preferred Skills Epic Security Certification. Experience with Epic interoperability technologies including HL7 and FHIR. Knowledge of Privileged Access Management (PAM) solutions. Experience with Conditional Access and Zero Trust security frameworks. Familiarity with cloud identity and access governance best practices. Experience supporting healthcare environments and clinical applications. Strong stakeholder management, communication, and technical leadership skills. NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role will depend on the location of the successful candidate. For candidates in either of these locations, the starting pay range is $117,600- $156,800k. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. If the position offered in temporary, the position will not be eligible for incentive compensation. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
Location This role is located in Princeton (preferred) or any other locations within the North American hub structure of our global IT organization. Munich Re is a global market leader in reinsurance, global specialty insurance and digital solutions. New technologies are disrupting the insurance value chain. Our innovative minds in IT spearhead the transformation and make change happen. We support clients with a comprehensive range of insurance and risk management products. Our goal is to become even more digital through the expertise of our IT & Tech specialists, and by leveraging data and insights to support innovation and client service. We are therefore making targeted IT investments and helping our insurance clients and partners to tackle problems in the modern digital world with innovative and forward-looking solutions. To further strengthen our digital capabilities, Munich Re continues to invest strategically in IT and data platforms. The position Solution Architect is a high-impact position within our global center of excellence for Informatica Data Integration, supporting stable operations today while shaping the data platforms of the future. Led by the Global Specialty Insurance (GSI) unit, the team drives the delivery of our strategic data platforms by setting architectural standards, provide expert consulting and support project delivery across ERGO, MEAG, Reinsurance and GSI. This role will help the organization to implement what is needed to deliver our strategic data platforms. Work will include, but not limited to the end to end support for Cloud Data Governance based on Informatica to support data solution architecture design for acquisition, organization, integration, transformation and secure storage of mission-critical data. While operating the Informatica Platform within GSI, we ensure consistent, enterprise-wide services and standards for data integration to achieve a unified, reliable, and scalable data foundation for the entire Munich Re group. As a IT Solution Architect, you are responsible for designing, implementing, and managing data governance frameworks using Informatica's Cloud Data Governance & Catalog (CDGC) within the Intelligent Data Management Cloud (IDMC). You will be accountable for driving a high-quality platform design and development which supports system performance at optimal operational cost under the circumstances of flexibility and future change. In this role, you will work with product owners, product architects and development leads to ensure that the platform vision and roadmap is implemented with a, state-of-the-art and easily accessible technology stack. Moreover, you will evaluate and adopt new technologies and tooling which can deliver a competitive advantage of our digital platforms. You are accountable for achieving successful project outcomes, including the management of diverging interests of various stakeholders. As a Solution Architect, you work closely with the CoE architecture team to drive the journey towards multi-cloud-based data integration capability. Moreover, you will evaluate and adopt new technologies and tooling which can deliver a competitive advantage of our digital platforms. Your job Responsibilities: This position also requires sound technical skills, the ability to collaborate across teams both on- and offshore, and think both from an operational and delivery IT mindset. Work closely in partnership with data management, governance leads, data solution architects, and data engineers to ensure that projects are delivered at or under budget and follow all compliance, regulatory, and data standards/guidelines for Informatica usage. Partner with large system integrators and software vendors to support the delivery of the programs that align to our data strategy. Work with multiple delivery teams on a given program to ensure requirements are obtained, work has been properly identified, and engineers across the team can support the delivery of our data capabilities. Partner with technical teams across both the GSI Data Team as well other peer organizations to ensure that solutions are aligned to the business needs and follow enterprise standards and guidelines. Deliver proof-of-concepts, pilot solutions and applications through hands-on guidance, development and expertise Collaborate with Enterprise Architects, solution architects, and technical teams to deliver compliant, cost-effective projects aligned with business needs. Develop and execute strategic roadmaps and cost models for Data Governance aligned with organizational goals. Stay abreast of industry trends and emerging technologies, partner with IT Architecture teams to recommend and implement tools & solutions that enhance Data Governance capabilities. Uphold compliance, security, and regular audit updates. Build strong cross-functional partnerships at multiple levels with Munich Re stakeholders. Your profile University degree preferably in Computer engineering / IT or similar qualification Over 7+ years as Solution Architect for global software products, experience in the following areas: data architecture, data governance or master data management Track record of successful implementations that delivered value to the business Proactive self-starter, skilled at cross-functional collaboration and influencing stakeholders for guidance and achieve results Demonstrated strong understanding of technology with the ability to understand and articulate customer problems, solutions, and possible impacts. Ability to work in a complicated global group environment. Experienced managing expectations when balancing alternatives against business and financial constraints and able to estimate the financial impact of architecture alternatives. Extensive experience with compliance, security, and regular audit requirements Informatica Data Governance product knowledge preferred, with experience in Data Integration capabilities in Informatica Data Management Cloud are beneficial Ideally, knowledge of business processes in the re-/insurance industry Consulting and strong collaborative working style creating a culture of accountability and sharing Excellent communication and relationship-building skills with senior leaders and stakeholders Experienced and motivated to work in a globally distributed team Demonstrated a willingness to travel domestically and internationally as required in execution of duties The Company is open to considering candidates in Princeton, NJ. The salary range posted below applies to the Company's Princeton location. The base salary range anticipated for this position is $141,800 - $207,900 plus opportunity for company bonus based upon a percentage of eligible pay. In addition, the company makes available a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO). The salary estimate displayed represents the typical salary range for candidates hired in this position in Princeton. Factors that may be used to determine your actual salary include your specific skills, how many years of experience you have and comparison to other employees already in this role. Most candidates will start in the bottom half of the range. At Munich Re, we see Diversity, Equity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services. We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
09/24/2026
Full time
Location This role is located in Princeton (preferred) or any other locations within the North American hub structure of our global IT organization. Munich Re is a global market leader in reinsurance, global specialty insurance and digital solutions. New technologies are disrupting the insurance value chain. Our innovative minds in IT spearhead the transformation and make change happen. We support clients with a comprehensive range of insurance and risk management products. Our goal is to become even more digital through the expertise of our IT & Tech specialists, and by leveraging data and insights to support innovation and client service. We are therefore making targeted IT investments and helping our insurance clients and partners to tackle problems in the modern digital world with innovative and forward-looking solutions. To further strengthen our digital capabilities, Munich Re continues to invest strategically in IT and data platforms. The position Solution Architect is a high-impact position within our global center of excellence for Informatica Data Integration, supporting stable operations today while shaping the data platforms of the future. Led by the Global Specialty Insurance (GSI) unit, the team drives the delivery of our strategic data platforms by setting architectural standards, provide expert consulting and support project delivery across ERGO, MEAG, Reinsurance and GSI. This role will help the organization to implement what is needed to deliver our strategic data platforms. Work will include, but not limited to the end to end support for Cloud Data Governance based on Informatica to support data solution architecture design for acquisition, organization, integration, transformation and secure storage of mission-critical data. While operating the Informatica Platform within GSI, we ensure consistent, enterprise-wide services and standards for data integration to achieve a unified, reliable, and scalable data foundation for the entire Munich Re group. As a IT Solution Architect, you are responsible for designing, implementing, and managing data governance frameworks using Informatica's Cloud Data Governance & Catalog (CDGC) within the Intelligent Data Management Cloud (IDMC). You will be accountable for driving a high-quality platform design and development which supports system performance at optimal operational cost under the circumstances of flexibility and future change. In this role, you will work with product owners, product architects and development leads to ensure that the platform vision and roadmap is implemented with a, state-of-the-art and easily accessible technology stack. Moreover, you will evaluate and adopt new technologies and tooling which can deliver a competitive advantage of our digital platforms. You are accountable for achieving successful project outcomes, including the management of diverging interests of various stakeholders. As a Solution Architect, you work closely with the CoE architecture team to drive the journey towards multi-cloud-based data integration capability. Moreover, you will evaluate and adopt new technologies and tooling which can deliver a competitive advantage of our digital platforms. Your job Responsibilities: This position also requires sound technical skills, the ability to collaborate across teams both on- and offshore, and think both from an operational and delivery IT mindset. Work closely in partnership with data management, governance leads, data solution architects, and data engineers to ensure that projects are delivered at or under budget and follow all compliance, regulatory, and data standards/guidelines for Informatica usage. Partner with large system integrators and software vendors to support the delivery of the programs that align to our data strategy. Work with multiple delivery teams on a given program to ensure requirements are obtained, work has been properly identified, and engineers across the team can support the delivery of our data capabilities. Partner with technical teams across both the GSI Data Team as well other peer organizations to ensure that solutions are aligned to the business needs and follow enterprise standards and guidelines. Deliver proof-of-concepts, pilot solutions and applications through hands-on guidance, development and expertise Collaborate with Enterprise Architects, solution architects, and technical teams to deliver compliant, cost-effective projects aligned with business needs. Develop and execute strategic roadmaps and cost models for Data Governance aligned with organizational goals. Stay abreast of industry trends and emerging technologies, partner with IT Architecture teams to recommend and implement tools & solutions that enhance Data Governance capabilities. Uphold compliance, security, and regular audit updates. Build strong cross-functional partnerships at multiple levels with Munich Re stakeholders. Your profile University degree preferably in Computer engineering / IT or similar qualification Over 7+ years as Solution Architect for global software products, experience in the following areas: data architecture, data governance or master data management Track record of successful implementations that delivered value to the business Proactive self-starter, skilled at cross-functional collaboration and influencing stakeholders for guidance and achieve results Demonstrated strong understanding of technology with the ability to understand and articulate customer problems, solutions, and possible impacts. Ability to work in a complicated global group environment. Experienced managing expectations when balancing alternatives against business and financial constraints and able to estimate the financial impact of architecture alternatives. Extensive experience with compliance, security, and regular audit requirements Informatica Data Governance product knowledge preferred, with experience in Data Integration capabilities in Informatica Data Management Cloud are beneficial Ideally, knowledge of business processes in the re-/insurance industry Consulting and strong collaborative working style creating a culture of accountability and sharing Excellent communication and relationship-building skills with senior leaders and stakeholders Experienced and motivated to work in a globally distributed team Demonstrated a willingness to travel domestically and internationally as required in execution of duties The Company is open to considering candidates in Princeton, NJ. The salary range posted below applies to the Company's Princeton location. The base salary range anticipated for this position is $141,800 - $207,900 plus opportunity for company bonus based upon a percentage of eligible pay. In addition, the company makes available a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO). The salary estimate displayed represents the typical salary range for candidates hired in this position in Princeton. Factors that may be used to determine your actual salary include your specific skills, how many years of experience you have and comparison to other employees already in this role. Most candidates will start in the bottom half of the range. At Munich Re, we see Diversity, Equity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services. We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
HII's Mission Technologies division
Norfolk, Virginia
Requisition Number: 30293 Required Travel: 11 - 25% Employment Type: Full Time/Salaried/Exempt Anticipated Salary Range: $83,720.00 - $101,660.00 Security Clearance: Top Secret Level of Experience: Mid This opportunity resides with Global Security (GS). Mission Technologies' Global Security (GS) group comprises live, virtual, constructive (LVC) solutions; fleet sustainment; nuclear and environmental; and Australia business. As a trusted partner to our military customers, HII designs, develops and operates the largest LVC enterprise that prepares warfighters for cross-domain battle. With advanced technologies to enable mission readiness, HII understands that preparation requires full coordination-not readiness in piece-parts. For more than 40 years, the U.S. Navy has entrusted HII to maintain and modernize the vast majority of its fleet. With a holistic approach to life-cycle maritime defense systems-from small watercraft to submarines, surface combatants and aircraft carriers-HII ensures a high state of readiness. HII supports the Department of Energy's national security mission through the management and operation of its sites, as well as the safe cleanup of legacy waste across the country. HII meets clients' toughest nuclear and environmental challenges. Leadership Mindset at HII - Mission Technologies Leadership at HII is a mindset, not a title. Through our Leadership Capability Framework, we define how every employee grows, leads, and contributes-regardless of role. It sets the standard for how you can develop yourself and what you can expect from leaders across our organization. We look for candidates who want to grow in alignment with these capabilities: Know & Grow Your People - Commit to learning and supporting team success. Build Relationships - Communicate openly, collaborate well, and build trust. Take Ownership - Deliver on commitments and take pride in your work. Customer First - Focus on the mission and those we serve. Shape the Future - Bring ideas, curiosity, and continuous improvement. Act with Urgency - Take initiative and follow through with purpose. These capabilities guide how all employees contribute to our shared success across Mission Technologies. Who We Are Mission Technologies, a division of Huntington Ingalls Industries, is seeking an experienced Systems Application Analyst to support operations at the Navy Warfare Development Center located at Norfolk Naval Station.This position provides on site expertise to the Maritime Operations Center - Exercise Support Team (MOC EST) and other facilities throughout the Hampton Roads, Virginia area. In this position, the selected candidate will guide the development, execution, and ongoing enhancement of the organization's Knowledge Management (KM) program. They will ensure that essential institutional knowledge is properly captured, structured, governed, shared, and maintained to strengthen operational effectiveness, collaboration, training, and organizational learning. The candidate will also support Navy Live, Virtual, and Constructive (LVC) training across assigned Areas of Responsibility (AORs). This includes contributing to the planning, design, and execution of operational level Fleet Synthetic Training (FST O) events for Fleet and task force staffs, including reserve personnel. Regular engagement with Military, Government, and Contractor leadership is a key component of the role. What You Will Do Develop, manage, and continuously improve the enterprise Knowledge Management framework, strategy, standards, and governance processes. Lead KM initiatives and provide direction and guidance to KM team members, content owners, subject matter experts, and stakeholders. Identify, capture, organize, classify, maintain, and assess organizational knowledge assets. Design, configure, administer, and maintain Microsoft SharePoint sites, libraries, lists, pages, permissions, metadata, content types, workflows, and knowledge repositories. Develop and maintain web-based KM resources using HTML5, CSS3, and JavaScript, including responsive interfaces, navigation components, interactive content, and client-side functionality. Apply web development and user-experience principles to improve the accessibility, usability, and presentation of organizational knowledge. Coordinate with cross-functional organizations to align KM initiatives with operational processes, training programs, organizational learning, information governance, and business objectives. Promote the adoption of KM platforms, tools, standards, and processes to encourage knowledge sharing and collaboration. Establish content lifecycle and governance processes to ensure information remains accurate, authoritative, current, accessible, and appropriately controlled. Support the development and delivery of KM training, documentation, user guides, standards, and best practices. Identify barriers to knowledge sharing and organizational adoption and develop strategies to improve participation and KM culture. Evaluate emerging technologies and tools that can enhance enterprise search, collaboration, content management, automation, and knowledge discovery. Identify and communicate KM success stories, lessons learned, and best practices across the organization. What You Must Have 5 years relevant experience with Bachelors in related field; 3 years relevant experience with Masters in related field; 0 years experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 9 years relevant experience. Candidate must have experience developing KM programs within technology-focused organizations, technical teams, government organizations, or similarly complex environments. Candidate must have experience implementing and supporting SharePoint-based knowledge and collaboration solutions. Candidate must have experience developing or maintaining web-based information resources using HTML, CSS, and JavaScript. Candidate must have a strong understanding of knowledge lifecycle management, content governance, information architecture, taxonomy, metadata, search, and organizational learning. Candidate must have the ability to translate business and operational requirements into practical KM processes and technical solutions. Candidate must have experience communicating with and influencing senior leadership, stakeholders, technical teams, and subject matter experts. Candidate must have strong written, verbal, analytical, organizational, and presentation skills. Candidate must have experience leading teams and cross-functional initiatives to achieve measurable results. Candidate must be okay with routine travel to remote site facilities may be involved. Candidate must be okay with working non-standard hours may be required approximately 6 times per year for 2-3 weeks at a time to support event execution and testing. Candidate must be a U.S. Citizen. Candidate must currently hold and be able to maintain a US Top Secret clearance. Bonus Points For Having! Certified Knowledge Manager (CKM) or comparable Knowledge Management certification. CompTIA Security+ Microsoft SharePoint or Microsoft 365 certifications. Experience with Microsoft Power Platform technologies. Experience with enterprise content management, records management, or information governance programs. Experience designing KM solutions for large, distributed, government, defense, or technically complex organizations. Physical Requirements May require working in an office, industrial, shipboard, or laboratory environment. Capable of climbing ladders and tolerating confined spaces and extreme temperature variances. The listed salary range for this role is intended as a good faith estimate based on the role's location, expectations, and responsibilities. When extending an offer, HII's Mission Technologies division takes a variety of factors into consideration which include, but are not limited to, the role's function and a candidate's education or training, work experience, and key skills. Meet HII's Mission Technologies Division Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense - the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that's right for you. Apply today. We look forward to meeting you. To learn more about Mission Technologies, click here for a short video: HII is more than a job - it's an opportunity to build a new future. We offer competitive benefits such as best-in-class medical, dental and vision plan choices; wellness resources; employee assistance programs; Savings Plan Options (401(k ; financial planning tools . click apply for full job details
09/24/2026
Full time
Requisition Number: 30293 Required Travel: 11 - 25% Employment Type: Full Time/Salaried/Exempt Anticipated Salary Range: $83,720.00 - $101,660.00 Security Clearance: Top Secret Level of Experience: Mid This opportunity resides with Global Security (GS). Mission Technologies' Global Security (GS) group comprises live, virtual, constructive (LVC) solutions; fleet sustainment; nuclear and environmental; and Australia business. As a trusted partner to our military customers, HII designs, develops and operates the largest LVC enterprise that prepares warfighters for cross-domain battle. With advanced technologies to enable mission readiness, HII understands that preparation requires full coordination-not readiness in piece-parts. For more than 40 years, the U.S. Navy has entrusted HII to maintain and modernize the vast majority of its fleet. With a holistic approach to life-cycle maritime defense systems-from small watercraft to submarines, surface combatants and aircraft carriers-HII ensures a high state of readiness. HII supports the Department of Energy's national security mission through the management and operation of its sites, as well as the safe cleanup of legacy waste across the country. HII meets clients' toughest nuclear and environmental challenges. Leadership Mindset at HII - Mission Technologies Leadership at HII is a mindset, not a title. Through our Leadership Capability Framework, we define how every employee grows, leads, and contributes-regardless of role. It sets the standard for how you can develop yourself and what you can expect from leaders across our organization. We look for candidates who want to grow in alignment with these capabilities: Know & Grow Your People - Commit to learning and supporting team success. Build Relationships - Communicate openly, collaborate well, and build trust. Take Ownership - Deliver on commitments and take pride in your work. Customer First - Focus on the mission and those we serve. Shape the Future - Bring ideas, curiosity, and continuous improvement. Act with Urgency - Take initiative and follow through with purpose. These capabilities guide how all employees contribute to our shared success across Mission Technologies. Who We Are Mission Technologies, a division of Huntington Ingalls Industries, is seeking an experienced Systems Application Analyst to support operations at the Navy Warfare Development Center located at Norfolk Naval Station.This position provides on site expertise to the Maritime Operations Center - Exercise Support Team (MOC EST) and other facilities throughout the Hampton Roads, Virginia area. In this position, the selected candidate will guide the development, execution, and ongoing enhancement of the organization's Knowledge Management (KM) program. They will ensure that essential institutional knowledge is properly captured, structured, governed, shared, and maintained to strengthen operational effectiveness, collaboration, training, and organizational learning. The candidate will also support Navy Live, Virtual, and Constructive (LVC) training across assigned Areas of Responsibility (AORs). This includes contributing to the planning, design, and execution of operational level Fleet Synthetic Training (FST O) events for Fleet and task force staffs, including reserve personnel. Regular engagement with Military, Government, and Contractor leadership is a key component of the role. What You Will Do Develop, manage, and continuously improve the enterprise Knowledge Management framework, strategy, standards, and governance processes. Lead KM initiatives and provide direction and guidance to KM team members, content owners, subject matter experts, and stakeholders. Identify, capture, organize, classify, maintain, and assess organizational knowledge assets. Design, configure, administer, and maintain Microsoft SharePoint sites, libraries, lists, pages, permissions, metadata, content types, workflows, and knowledge repositories. Develop and maintain web-based KM resources using HTML5, CSS3, and JavaScript, including responsive interfaces, navigation components, interactive content, and client-side functionality. Apply web development and user-experience principles to improve the accessibility, usability, and presentation of organizational knowledge. Coordinate with cross-functional organizations to align KM initiatives with operational processes, training programs, organizational learning, information governance, and business objectives. Promote the adoption of KM platforms, tools, standards, and processes to encourage knowledge sharing and collaboration. Establish content lifecycle and governance processes to ensure information remains accurate, authoritative, current, accessible, and appropriately controlled. Support the development and delivery of KM training, documentation, user guides, standards, and best practices. Identify barriers to knowledge sharing and organizational adoption and develop strategies to improve participation and KM culture. Evaluate emerging technologies and tools that can enhance enterprise search, collaboration, content management, automation, and knowledge discovery. Identify and communicate KM success stories, lessons learned, and best practices across the organization. What You Must Have 5 years relevant experience with Bachelors in related field; 3 years relevant experience with Masters in related field; 0 years experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 9 years relevant experience. Candidate must have experience developing KM programs within technology-focused organizations, technical teams, government organizations, or similarly complex environments. Candidate must have experience implementing and supporting SharePoint-based knowledge and collaboration solutions. Candidate must have experience developing or maintaining web-based information resources using HTML, CSS, and JavaScript. Candidate must have a strong understanding of knowledge lifecycle management, content governance, information architecture, taxonomy, metadata, search, and organizational learning. Candidate must have the ability to translate business and operational requirements into practical KM processes and technical solutions. Candidate must have experience communicating with and influencing senior leadership, stakeholders, technical teams, and subject matter experts. Candidate must have strong written, verbal, analytical, organizational, and presentation skills. Candidate must have experience leading teams and cross-functional initiatives to achieve measurable results. Candidate must be okay with routine travel to remote site facilities may be involved. Candidate must be okay with working non-standard hours may be required approximately 6 times per year for 2-3 weeks at a time to support event execution and testing. Candidate must be a U.S. Citizen. Candidate must currently hold and be able to maintain a US Top Secret clearance. Bonus Points For Having! Certified Knowledge Manager (CKM) or comparable Knowledge Management certification. CompTIA Security+ Microsoft SharePoint or Microsoft 365 certifications. Experience with Microsoft Power Platform technologies. Experience with enterprise content management, records management, or information governance programs. Experience designing KM solutions for large, distributed, government, defense, or technically complex organizations. Physical Requirements May require working in an office, industrial, shipboard, or laboratory environment. Capable of climbing ladders and tolerating confined spaces and extreme temperature variances. The listed salary range for this role is intended as a good faith estimate based on the role's location, expectations, and responsibilities. When extending an offer, HII's Mission Technologies division takes a variety of factors into consideration which include, but are not limited to, the role's function and a candidate's education or training, work experience, and key skills. Meet HII's Mission Technologies Division Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense - the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that's right for you. Apply today. We look forward to meeting you. To learn more about Mission Technologies, click here for a short video: HII is more than a job - it's an opportunity to build a new future. We offer competitive benefits such as best-in-class medical, dental and vision plan choices; wellness resources; employee assistance programs; Savings Plan Options (401(k ; financial planning tools . click apply for full job details
About HASI HASI is an investor in sustainable infrastructure assets advancing the energy transition. With more than $17 billion in managed assets, our investments are diversified across multiple asset classes, including utility-scale solar, storage, and onshore wind; distributed solar and storage; RNG; and energy efficiency. We combine deep expertise in energy markets and financial structuring with long-standing programmatic client partnerships to deliver superior risk-adjusted returns and measurable environmental benefits. HA Sustainable Infrastructure Capital, Inc. is listed on the New York Stock Exchange (Ticker: HASI). For more information, please visit Position Summary The Platform Engineer is a member of the Data Platform Engineering team, which builds, operates, secures, and evolves HASI's enterprise data technology stack. The team owns the technology platforms that power the business - including Snowflake, Airflow, SQL Server, Power BI Service, SAP Datasphere, SAP Analytics Cloud, Power Automate, Jupyter Hub, Business Objects, Kyriba, Sigma/Thoughtworks, and the broader data warehouse and metadata/catalog tooling ecosystem - not the business data or business logic that runs on top of them. This role manages and enhances the platforms that data engineering relies on day to day, with primary focus on Snowflake, Airflow, and Microsoft Fabric. The Platform Engineer evaluates new and emerging technologies in the market, builds standard operating procedures (SOPs) for platform usage, and partners closely with the Data Engineering team to establish repeatable processes and code controls that make pipelines, models, and integrations reusable across projects. Key Responsibilities Manage, maintain, and continuously enhance the data engineering platform stack, with particular focus on Snowflake, Airflow, and Microsoft Fabric Evaluate new and emerging technologies in the market and recommend platform additions, replacements, or upgrades that improve capability, cost, or performance Author and maintain Standard Operating Procedures (SOPs) for platform usage, onboarding, and administration across the data platform toolset Partner with the Data Engineering team to define and implement new processes, coding standards, and code controls that promote reusability and consistency across pipelines and integrations Configure, administer, and tune Snowflake environments, including warehouses, roles, resource monitors, and access controls, to balance performance and cost. Build, monitor, and maintain Airflow orchestration environments, including DAG deployment standards, environment configuration, and job reliability Support and administer Microsoft Fabric workloads, ensuring proper configuration, capacity management, and integration with existing platforms Own platform automation and CI/CD pipelines used to deploy and promote platform changes across development, QA, and production environments Contribute to metadata and catalog tooling to improve data discoverability, lineage, and governance across the platform Monitor platform availability, performance, and cost, and proactively identify and resolve issues before they impact users Support upgrades and lifecycle management of platform components, including patching, version upgrades, and deprecations Collaborate with security teams to implement and maintain platform security controls, access management, and compliance requirements Document platform architecture, configurations, and standards to support operational maturity and knowledge sharing across the team Qualifications Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field 3+ years of professional experience in platform engineering, data engineering, or data infrastructure roles Hands-on experience administering and optimizing Snowflake, including warehouse sizing, cost management, security, and performance tuning Experience building, deploying, and operating Apache Airflow environments and orchestrating production data pipelines Experience with Microsoft Fabric or comparable modern data platform/lakehouse technologies Familiarity with CI/CD tooling and practices for platform and infrastructure automation Working knowledge of SQL Server, data warehouse infrastructure, and cloud-based data storage and compute environments Understanding of metadata management, data cataloging, and data governance principles Exposure to additional platform tools such as Power BI Service, Power Automate, SAP Datasphere, SAP Analytics Cloud, or Business Objects is a plus Strong troubleshooting and performance-tuning skills across distributed and cloud-based data systems Ability to create clear documentation, SOPs, and standards that other engineers can follow Strong collaboration skills, with the ability to partner effectively with data engineering, analytics, and security teams Self-starter who stays current with emerging data platform technologies and proactively recommends improvements $108,000 - $164,000 a year $108,000-$164,000 based on experience and location. In addition, HASI offers an annual bonus program; 401(k) with company match; an equity incentive program; comprehensive medical, dental and vision benefits; paid time off for vacation, holidays, and sick days; and much more. WORK AUTHORIZATION HASI is willing to take over sponsorship for existing H1-B visas for exceptional talent. We are unable to provide new H-1B sponsorship at this time. EEO STATEMENT The Company maintains a policy of non-discrimination in employment and complies with and supports all Federal, state, and local laws regarding discrimination in employment. Specifically, the Company does not discriminate in employment opportunities or practices against any employee, intern, or applicant on the basis of race, color, gender, sex, sexual orientation, gender identity, religion, ancestry, national origin, age, citizenship status, marital status, pregnancy (including childbirth, lactation, or related medical conditions), mental or physical disability, veteran status, uniformed servicemember status, genetic information (including testing and characteristics), or any other characteristic to the extent prohibited by federal, state, or local law. Decisions regarding staffing, selection, and promotions are made on the basis of individual qualifications related to the requirements of the position. If you need reasonable accommodation for a job opening, please connect with us at and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process.
09/24/2026
Full time
About HASI HASI is an investor in sustainable infrastructure assets advancing the energy transition. With more than $17 billion in managed assets, our investments are diversified across multiple asset classes, including utility-scale solar, storage, and onshore wind; distributed solar and storage; RNG; and energy efficiency. We combine deep expertise in energy markets and financial structuring with long-standing programmatic client partnerships to deliver superior risk-adjusted returns and measurable environmental benefits. HA Sustainable Infrastructure Capital, Inc. is listed on the New York Stock Exchange (Ticker: HASI). For more information, please visit Position Summary The Platform Engineer is a member of the Data Platform Engineering team, which builds, operates, secures, and evolves HASI's enterprise data technology stack. The team owns the technology platforms that power the business - including Snowflake, Airflow, SQL Server, Power BI Service, SAP Datasphere, SAP Analytics Cloud, Power Automate, Jupyter Hub, Business Objects, Kyriba, Sigma/Thoughtworks, and the broader data warehouse and metadata/catalog tooling ecosystem - not the business data or business logic that runs on top of them. This role manages and enhances the platforms that data engineering relies on day to day, with primary focus on Snowflake, Airflow, and Microsoft Fabric. The Platform Engineer evaluates new and emerging technologies in the market, builds standard operating procedures (SOPs) for platform usage, and partners closely with the Data Engineering team to establish repeatable processes and code controls that make pipelines, models, and integrations reusable across projects. Key Responsibilities Manage, maintain, and continuously enhance the data engineering platform stack, with particular focus on Snowflake, Airflow, and Microsoft Fabric Evaluate new and emerging technologies in the market and recommend platform additions, replacements, or upgrades that improve capability, cost, or performance Author and maintain Standard Operating Procedures (SOPs) for platform usage, onboarding, and administration across the data platform toolset Partner with the Data Engineering team to define and implement new processes, coding standards, and code controls that promote reusability and consistency across pipelines and integrations Configure, administer, and tune Snowflake environments, including warehouses, roles, resource monitors, and access controls, to balance performance and cost. Build, monitor, and maintain Airflow orchestration environments, including DAG deployment standards, environment configuration, and job reliability Support and administer Microsoft Fabric workloads, ensuring proper configuration, capacity management, and integration with existing platforms Own platform automation and CI/CD pipelines used to deploy and promote platform changes across development, QA, and production environments Contribute to metadata and catalog tooling to improve data discoverability, lineage, and governance across the platform Monitor platform availability, performance, and cost, and proactively identify and resolve issues before they impact users Support upgrades and lifecycle management of platform components, including patching, version upgrades, and deprecations Collaborate with security teams to implement and maintain platform security controls, access management, and compliance requirements Document platform architecture, configurations, and standards to support operational maturity and knowledge sharing across the team Qualifications Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field 3+ years of professional experience in platform engineering, data engineering, or data infrastructure roles Hands-on experience administering and optimizing Snowflake, including warehouse sizing, cost management, security, and performance tuning Experience building, deploying, and operating Apache Airflow environments and orchestrating production data pipelines Experience with Microsoft Fabric or comparable modern data platform/lakehouse technologies Familiarity with CI/CD tooling and practices for platform and infrastructure automation Working knowledge of SQL Server, data warehouse infrastructure, and cloud-based data storage and compute environments Understanding of metadata management, data cataloging, and data governance principles Exposure to additional platform tools such as Power BI Service, Power Automate, SAP Datasphere, SAP Analytics Cloud, or Business Objects is a plus Strong troubleshooting and performance-tuning skills across distributed and cloud-based data systems Ability to create clear documentation, SOPs, and standards that other engineers can follow Strong collaboration skills, with the ability to partner effectively with data engineering, analytics, and security teams Self-starter who stays current with emerging data platform technologies and proactively recommends improvements $108,000 - $164,000 a year $108,000-$164,000 based on experience and location. In addition, HASI offers an annual bonus program; 401(k) with company match; an equity incentive program; comprehensive medical, dental and vision benefits; paid time off for vacation, holidays, and sick days; and much more. WORK AUTHORIZATION HASI is willing to take over sponsorship for existing H1-B visas for exceptional talent. We are unable to provide new H-1B sponsorship at this time. EEO STATEMENT The Company maintains a policy of non-discrimination in employment and complies with and supports all Federal, state, and local laws regarding discrimination in employment. Specifically, the Company does not discriminate in employment opportunities or practices against any employee, intern, or applicant on the basis of race, color, gender, sex, sexual orientation, gender identity, religion, ancestry, national origin, age, citizenship status, marital status, pregnancy (including childbirth, lactation, or related medical conditions), mental or physical disability, veteran status, uniformed servicemember status, genetic information (including testing and characteristics), or any other characteristic to the extent prohibited by federal, state, or local law. Decisions regarding staffing, selection, and promotions are made on the basis of individual qualifications related to the requirements of the position. If you need reasonable accommodation for a job opening, please connect with us at and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process.
About HASI HASI is an investor in sustainable infrastructure assets advancing the energy transition. With more than $17 billion in managed assets, our investments are diversified across multiple asset classes, including utility-scale solar, storage, and onshore wind; distributed solar and storage; RNG; and energy efficiency. We combine deep expertise in energy markets and financial structuring with long-standing programmatic client partnerships to deliver superior risk-adjusted returns and measurable environmental benefits. HA Sustainable Infrastructure Capital, Inc. is listed on the New York Stock Exchange (Ticker: HASI). For more information, please visit Position Summary The Platform Engineer is a member of the Data Platform Engineering team, which builds, operates, secures, and evolves HASI's enterprise data technology stack. The team owns the technology platforms that power the business - including Snowflake, Airflow, SQL Server, Power BI Service, SAP Datasphere, SAP Analytics Cloud, Power Automate, Jupyter Hub, Business Objects, Kyriba, Sigma/Thoughtworks, and the broader data warehouse and metadata/catalog tooling ecosystem - not the business data or business logic that runs on top of them. This role manages and enhances the platforms that data engineering relies on day to day, with primary focus on Snowflake, Airflow, and Microsoft Fabric. The Platform Engineer evaluates new and emerging technologies in the market, builds standard operating procedures (SOPs) for platform usage, and partners closely with the Data Engineering team to establish repeatable processes and code controls that make pipelines, models, and integrations reusable across projects. Key Responsibilities Manage, maintain, and continuously enhance the data engineering platform stack, with particular focus on Snowflake, Airflow, and Microsoft Fabric Evaluate new and emerging technologies in the market and recommend platform additions, replacements, or upgrades that improve capability, cost, or performance Author and maintain Standard Operating Procedures (SOPs) for platform usage, onboarding, and administration across the data platform toolset Partner with the Data Engineering team to define and implement new processes, coding standards, and code controls that promote reusability and consistency across pipelines and integrations Configure, administer, and tune Snowflake environments, including warehouses, roles, resource monitors, and access controls, to balance performance and cost. Build, monitor, and maintain Airflow orchestration environments, including DAG deployment standards, environment configuration, and job reliability Support and administer Microsoft Fabric workloads, ensuring proper configuration, capacity management, and integration with existing platforms Own platform automation and CI/CD pipelines used to deploy and promote platform changes across development, QA, and production environments Contribute to metadata and catalog tooling to improve data discoverability, lineage, and governance across the platform Monitor platform availability, performance, and cost, and proactively identify and resolve issues before they impact users Support upgrades and lifecycle management of platform components, including patching, version upgrades, and deprecations Collaborate with security teams to implement and maintain platform security controls, access management, and compliance requirements Document platform architecture, configurations, and standards to support operational maturity and knowledge sharing across the team Qualifications Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field 3+ years of professional experience in platform engineering, data engineering, or data infrastructure roles Hands-on experience administering and optimizing Snowflake, including warehouse sizing, cost management, security, and performance tuning Experience building, deploying, and operating Apache Airflow environments and orchestrating production data pipelines Experience with Microsoft Fabric or comparable modern data platform/lakehouse technologies Familiarity with CI/CD tooling and practices for platform and infrastructure automation Working knowledge of SQL Server, data warehouse infrastructure, and cloud-based data storage and compute environments Understanding of metadata management, data cataloging, and data governance principles Exposure to additional platform tools such as Power BI Service, Power Automate, SAP Datasphere, SAP Analytics Cloud, or Business Objects is a plus Strong troubleshooting and performance-tuning skills across distributed and cloud-based data systems Ability to create clear documentation, SOPs, and standards that other engineers can follow Strong collaboration skills, with the ability to partner effectively with data engineering, analytics, and security teams Self-starter who stays current with emerging data platform technologies and proactively recommends improvements $108,000 - $164,000 a year $108,000-$164,000 based on experience and location. In addition, HASI offers an annual bonus program; 401(k) with company match; an equity incentive program; comprehensive medical, dental and vision benefits; paid time off for vacation, holidays, and sick days; and much more. WORK AUTHORIZATION HASI is willing to take over sponsorship for existing H1-B visas for exceptional talent. We are unable to provide new H-1B sponsorship at this time. EEO STATEMENT The Company maintains a policy of non-discrimination in employment and complies with and supports all Federal, state, and local laws regarding discrimination in employment. Specifically, the Company does not discriminate in employment opportunities or practices against any employee, intern, or applicant on the basis of race, color, gender, sex, sexual orientation, gender identity, religion, ancestry, national origin, age, citizenship status, marital status, pregnancy (including childbirth, lactation, or related medical conditions), mental or physical disability, veteran status, uniformed servicemember status, genetic information (including testing and characteristics), or any other characteristic to the extent prohibited by federal, state, or local law. Decisions regarding staffing, selection, and promotions are made on the basis of individual qualifications related to the requirements of the position. If you need reasonable accommodation for a job opening, please connect with us at and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process.
09/24/2026
Full time
About HASI HASI is an investor in sustainable infrastructure assets advancing the energy transition. With more than $17 billion in managed assets, our investments are diversified across multiple asset classes, including utility-scale solar, storage, and onshore wind; distributed solar and storage; RNG; and energy efficiency. We combine deep expertise in energy markets and financial structuring with long-standing programmatic client partnerships to deliver superior risk-adjusted returns and measurable environmental benefits. HA Sustainable Infrastructure Capital, Inc. is listed on the New York Stock Exchange (Ticker: HASI). For more information, please visit Position Summary The Platform Engineer is a member of the Data Platform Engineering team, which builds, operates, secures, and evolves HASI's enterprise data technology stack. The team owns the technology platforms that power the business - including Snowflake, Airflow, SQL Server, Power BI Service, SAP Datasphere, SAP Analytics Cloud, Power Automate, Jupyter Hub, Business Objects, Kyriba, Sigma/Thoughtworks, and the broader data warehouse and metadata/catalog tooling ecosystem - not the business data or business logic that runs on top of them. This role manages and enhances the platforms that data engineering relies on day to day, with primary focus on Snowflake, Airflow, and Microsoft Fabric. The Platform Engineer evaluates new and emerging technologies in the market, builds standard operating procedures (SOPs) for platform usage, and partners closely with the Data Engineering team to establish repeatable processes and code controls that make pipelines, models, and integrations reusable across projects. Key Responsibilities Manage, maintain, and continuously enhance the data engineering platform stack, with particular focus on Snowflake, Airflow, and Microsoft Fabric Evaluate new and emerging technologies in the market and recommend platform additions, replacements, or upgrades that improve capability, cost, or performance Author and maintain Standard Operating Procedures (SOPs) for platform usage, onboarding, and administration across the data platform toolset Partner with the Data Engineering team to define and implement new processes, coding standards, and code controls that promote reusability and consistency across pipelines and integrations Configure, administer, and tune Snowflake environments, including warehouses, roles, resource monitors, and access controls, to balance performance and cost. Build, monitor, and maintain Airflow orchestration environments, including DAG deployment standards, environment configuration, and job reliability Support and administer Microsoft Fabric workloads, ensuring proper configuration, capacity management, and integration with existing platforms Own platform automation and CI/CD pipelines used to deploy and promote platform changes across development, QA, and production environments Contribute to metadata and catalog tooling to improve data discoverability, lineage, and governance across the platform Monitor platform availability, performance, and cost, and proactively identify and resolve issues before they impact users Support upgrades and lifecycle management of platform components, including patching, version upgrades, and deprecations Collaborate with security teams to implement and maintain platform security controls, access management, and compliance requirements Document platform architecture, configurations, and standards to support operational maturity and knowledge sharing across the team Qualifications Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field 3+ years of professional experience in platform engineering, data engineering, or data infrastructure roles Hands-on experience administering and optimizing Snowflake, including warehouse sizing, cost management, security, and performance tuning Experience building, deploying, and operating Apache Airflow environments and orchestrating production data pipelines Experience with Microsoft Fabric or comparable modern data platform/lakehouse technologies Familiarity with CI/CD tooling and practices for platform and infrastructure automation Working knowledge of SQL Server, data warehouse infrastructure, and cloud-based data storage and compute environments Understanding of metadata management, data cataloging, and data governance principles Exposure to additional platform tools such as Power BI Service, Power Automate, SAP Datasphere, SAP Analytics Cloud, or Business Objects is a plus Strong troubleshooting and performance-tuning skills across distributed and cloud-based data systems Ability to create clear documentation, SOPs, and standards that other engineers can follow Strong collaboration skills, with the ability to partner effectively with data engineering, analytics, and security teams Self-starter who stays current with emerging data platform technologies and proactively recommends improvements $108,000 - $164,000 a year $108,000-$164,000 based on experience and location. In addition, HASI offers an annual bonus program; 401(k) with company match; an equity incentive program; comprehensive medical, dental and vision benefits; paid time off for vacation, holidays, and sick days; and much more. WORK AUTHORIZATION HASI is willing to take over sponsorship for existing H1-B visas for exceptional talent. We are unable to provide new H-1B sponsorship at this time. EEO STATEMENT The Company maintains a policy of non-discrimination in employment and complies with and supports all Federal, state, and local laws regarding discrimination in employment. Specifically, the Company does not discriminate in employment opportunities or practices against any employee, intern, or applicant on the basis of race, color, gender, sex, sexual orientation, gender identity, religion, ancestry, national origin, age, citizenship status, marital status, pregnancy (including childbirth, lactation, or related medical conditions), mental or physical disability, veteran status, uniformed servicemember status, genetic information (including testing and characteristics), or any other characteristic to the extent prohibited by federal, state, or local law. Decisions regarding staffing, selection, and promotions are made on the basis of individual qualifications related to the requirements of the position. If you need reasonable accommodation for a job opening, please connect with us at and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process.
