Technology Product Manager, Workforce Data

Description and Requirements The Team You Will Join

When you join Met Life’s Global Technology team, you’ll be part of a forward-thinking group dedicated to shaping the future of digital solutions for customers worldwide. You’ll develop, maintain and support technology applications and delivery, leveraging AI, automation, and contemporary ways of working to enhance experiences and drive business outcomes. Your work will simplify complex processes, improve tech resiliency, and ensure high-performing, seamless solutions that power life’s most important moments.

In this dynamic environment, you’ll collaborate with talented peers across teams and functions, expanding your skills in impactful ways. Ready to push boundaries and set new industry standards? Join us and help drive the future of technology forward.

The Technology Product Manager for Workforce Data is accountable for shaping and advancing the product strategy, roadmap, and measurable outcomes for enterprise workforce data capabilities. The role connects workforce needs, user problems, data opportunities, and technology delivery into a clear product direction that improves access to trusted workforce information and enables analytics, reporting, operational processes, and responsible AI use cases.

Working across HR, Technology, Data, Architecture, Risk, Privacy, Legal, and delivery partners, this role will lead through influence rather than direct people management. The product manager will define problems and outcomes, make evidence-based priority decisions, align stakeholders around trade-offs, and help multidisciplinary teams deliver scalable data products and platform capabilities.

• Own the Workforce Data product vision, strategy, and multi-horizon roadmap, translating workforce priorities and user needs into clear outcomes, capabilities, sequencing, and investment choices.
• Lead discovery with workforce stakeholders and data consumers to identify high-value problems, define target users and use cases, test assumptions, and establish measurable product outcomes.
• Define and manage the product portfolio spanning trusted workforce data, curated data domains, reusable data products, analytical and semantic layers, reporting enablement, archival needs, and AI-ready consumption patterns.
• Create transparent prioritization and decision frameworks that balance business value, user impact, risk reduction, data quality, regulatory obligations, architectural integrity, operational health, delivery capacity, and cost.
• Partner with architecture, data engineering, analytics, integration, security, privacy, risk, and platform teams to turn product intent into feasible capabilities, release plans, acceptance criteria, and production-ready outcomes.
• Establish and maintain a clear product backlog and outcome-based roadmap, ensuring work is sufficiently defined, dependencies are visible, trade-offs are resolved, and teams understand the purpose and expected value of each increment.
• Drive stakeholder alignment across HR and Technology by communicating product choices, dependencies, risks, readiness, and progress in concise business and technical language appropriate for senior audiences.
• Define product health and value measures, including adoption, data quality, timeliness, reliability, usability, risk reduction, cycle time, and value realization, and use evidence to refine priorities.
• Champion workforce data governance, privacy-by-design, security, lineage, access controls, retention, responsible AI, and ethical use of employee data throughout discovery, design, delivery, and operation.
• Guide change, adoption, and product operating practices by clarifying ownership, decision rights, engagement models, release…