Director, Product Management — Composite AI

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 Director, Product Management – Composite AI serves as a senior Product Manager responsible for advancing the strategy, operating model, and portfolio execution of Met Life's Composite AI capabilities. This role sits at the intersection of AI strategy, product practice maturity, governance enablement, and cross-capability coordination — ensuring that AI products are managed consistently, deliver measurable business outcomes, and scale through a federated operating model.

This role partners closely with Composite AI platform teams, Architecture, CIO organizations, Data & Analytics, and Lines of Business to translate enterprise AI priorities into coordinated product strategies, well-defined capability roadmaps, and adoption-ready enabling assets. The role is accountable for product outcomes and PM practice quality across assigned capability domains, not just delivery execution.

• Own product strategy across assigned Composite AI capability domains, aligning capability roadmaps with Global Technology priorities and Responsible AI principles.
• Define and evolve outcome-oriented roadmaps that balance enterprise demand, architectural guardrails, and long-term platform sustainability.
• Articulate the value proposition of the Composite AI portfolio, including developer and business user experience, time to value, and enterprise risk reduction.

• Translate customer, partner, and business needs into clear technical problem statements, platform capabilities, and product requirements.
• Partner with Architecture and Engineering leadership to evaluate design options, technical tradeoffs, and architectural decisions, ensuring solutions are scalable, secure, and extensible.
• Incorporate non‑functional requirements (performance, resiliency, security, cost efficiency, observability) as first‑class product concerns.
• Guide decisions on build vs. buy, reuse vs. customize, and platform standardization.
• Maintain technical fluency across the Composite AI capability stack to effectively challenge assumptions, evaluate feasibility, and guide product decisions across work streams.

• Support the unified Composite AI product roadmap, ensuring transparency and alignment of priorities, dependencies, and sequencing across capability work streams and delivery teams.
• Translate roadmap objectives into well‑formed epics and outcomes‑oriented backlog items in close partnership with involved platform, engineering, and enablement teams.
• Lead prioritization and tradeoff discussions within assigned domains to maximize enterprise value while protecting platform and capability health.
• Coordinate across capability leads and delivery teams to ensure alignment between strategic intent and execution, without assuming technical delivery ownership.

• Support the design and operationalization of a consistent AI product operating model across Composite AI capabilities, including intake standards, readiness criteria, and lifecycle governance.
• Define and maintain enabling assets — product templates, playbooks, onboarding patterns — that allow capability teams to operate with discipline and consistency.
• Partner with CoE, enablement, and platform teams to scale product management practices across regions and lines of business.
• Drive…