Lead, AI Delivery Transformation

Join Met Life’s Global Technology and Operations (GTO) team, where what you build truly matters. Here, innovation and collaboration drive everything we do— from developing best-in-class digital solutions to safeguarding customer and employee data. Whether you’re transforming insights into customer-first strategies, advocating for people in life’s most important moments, or simplifying how we serve millions worldwide, your expertise makes a lasting impact.

We bring Met Life’s purpose to life, shaping a more confident future. Let’s build it together.

As Lead, AI-First Delivery Practice, you will turn AI delivery standards into working practice in the field. You run pilots, build the context libraries and agentic patterns that make AI output reliable, and enable teams hands-on across the agentic SDLC toolchain. This is a specialist individual-contributor role focused on practice design and reusable enablement, not long-term embedded coaching. Success shows up as adoption, reusable assets, and measurable delivery improvement.

DST is an individual-contributor team inside Met Life Global Technology, working directly with CIO organizations, Enterprise Dev Sec Ops , Platform Engineering, and Enterprise Architecture. Git Hub Enterprise and the agentic SDLC toolchain are being made productive now, and the AI-First Operating Model is being designed and proven in live delivery — this role shapes it rather than inherits it.

• What is changing:
  Global Technology is moving to an AI-first delivery model — agents performing delivery work alongside people, specifications and curated context replacing tribal knowledge, and review, traceability, and control points rebuilt around output that people and agents produce together.
• Why this role matters: the work of this team will redefine how teams plan, build, review, govern, and deliver technology in an AI-first environment. This role proves that change in live delivery — establishing the practices, patterns, and evidence that show what works, and turning them into assets teams can pick up and run without you.

• Work AI-first in your own practice and be the visible proof of it. Teams adopt what they see working — your use of AI to build enablement assets, run analysis, and produce working prototypes is itself part of the enablement.
• Run pilot and pathfinder delivery with CIO organizations and delivery teams moving to AI-first — setting entry and exit criteria up front, capturing friction from the field, and calling the point at which a pattern is ready to scale or should be stopped.
• Build and maintain the context libraries and Copilot / agentic patterns that improve AI output quality — curating what pilots produce into governed, versioned assets, and routing field evidence to the standards and operating-model owners.
• Establish spec-driven development practice — the specification, plan, and task artifacts that give agents reliable context — and set the review standards that make agent output traceable back to intent.
• Author the enablement assets teams work from without you — playbooks, role guides, worked examples, and troubleshooting references — and enable teams directly across Git Hub Enterprise, work management, and CI/CD through working sessions, pairing on live work, and time-boxed office hours, so teams reach independence rather than standing support.
• Work directly with Enterprise Dev Sec Ops , Platform Engineering, and Enterprise Architecture on the gaps pilots expose — toolchain limitations, integration breaks, licensing and permissioning constraints, and standards conflicts — so platform capability and delivery practice advance together.
• Instrument pilots for measurement — flow and…