Enterprise AI Adoption & Enablement Engineer

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.

The Enterprise AI Adoption & Enablement Engineer is responsible for driving user adoption, measuring platform impact, and equipping Met Life’s workforce with the knowledge and support needed to fully leverage its enterprise AI productivity tools. The role directly contributes to Met Life’s mission of using technology to enhance the productivity and effectiveness of its people across the Enterprise Technology function, supporting Copilot and other AI Productivity tool users across Met Life’s United States and international operations.

This is an exciting opportunity to shape how tens of thousands of employees experience AI-powered work by owning the adoption metrics, training programs, community engagement, and knowledge resources that turn a technology deployment into a genuine cultural shift.

• Lead adoption reporting and analytics for Met Life’s enterprise AI productivity platform, developing and maintaining Power BI dashboards and executive-level metrics — translating usage data into actionable insights and recommendations that inform leadership decisions on platform expansion and investment. Strong customer‑focus and empathy; able to understand user pain points and design enablement solutions that drive real adoption.
• Manage AI platform license bulk upload and offloading operations, license request workflows, and back billing process maintenance, ensuring accurate and compliant license administration across the enterprise. Clear written and verbal communication skills, with the ability to tailor messages for executives, technologists, and general end users.
• Collaborate with Learning & Development, communications, IT support, and business stakeholder teams to support the creation and delivery of AI productivity platform training content — providing technical guidance during sessions and ensuring materials stay current as the platform evolves and as new AI tools are introduced. Ability to manage multiple work streams simultaneously (reporting, training, community support, license operations) with strong attention to detail.
• Oversee the enterprise AI community (via Viva Engage or equivalent platform) with a strong customer-focus and empathy — surfacing adoption trends, understanding user pain points, and serving as a bridge between end users and the broader AI program team.
• Build and continuously improve a comprehensive knowledge base of AI platform support articles, feature rollout confirmations, and helpdesk coordination resources — proactively identifying gaps in enablement and documentation to enable consistent, scalable support across the organization as tools evolve. Continuous improvement mindset; proactively identifies gaps in enablement, documentation, and support processes.

• 3–5+ years of experience in technology enablement, adoption, analytics, or platform support roles, with a demonstrated track record of supporting enterprise-wide technology rollouts and delivering measurable adoption and engagement outcomes.
• Hands‑on experience with Power BI report creation and adoption analytics, Viva Engage community management, data security and governance frameworks, or other enterprise AI productivity and community engagement platforms (e.g., Microsoft 365, Claude, or equivalent tools).
• Experience working closely with end‑user communities, helpdesk teams, and Learning & Development organizations to sustain platform adoption; proficiency in knowledge base authoring and Service Now or equivalent ITSM…