Sr. Architect - Data & AI Platform Strategy

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 Senior Architect – Platform & Performance Management is responsible for defining and advancing the conceptual and technical architecture models that enable scalable, reliable, and insight-driven data and platform capabilities across Met Life’s Global Technology and Data & Intelligence ecosystem. This role is critical to ensuring that Performance & Platform Management capabilities deliver consistent, measurable value by aligning platform design, data architecture, and operational insights to enterprise priorities, enabling transparency, efficiency, and informed decision‑making across the organization.

This role supports the Global Technology and Data & Intelligence Platform functions, partnering across engineering, product, and business teams to establish architecture standards, design patterns, and integrated data models that drive platform performance, measurement foundations, and enterprise visibility.

This is an exciting opportunity to shape the architectural foundation for how platform performance is measured, understood, and optimized—enabling real‑time insights and driving strategic outcomes across a global enterprise.

Define and lead conceptual and logical architecture models that enable Performance & Platform Management capabilities, including measurement foundations, platform utilization insights, and enterprise visibility (e.g., Visibility Data Warehouse), ensuring alignment to business outcomes and global data strategy.

Establish and govern scalable architecture patterns for data, AI, and API‑driven integrations, enabling seamless connectivity across operational platforms, analytics environments, and enterprise systems while ensuring performance, reliability, and reusability.

Drive integration of AI/ML‑enabled insights and advanced analytics into platform performance and operational workflows, enabling predictive, real‑time decision‑making and enhancing enterprise‑wide transparency and efficiency.

Partner cross‑functionally with product, engineering, and business stakeholders to translate strategic objectives into architecture solutions, aligning platform capabilities to KPIs, executive reporting needs, and continuous improvement initiatives across Global Technology.

Support the full Software Development Lifecycle (SDLC)—from architecture and design through implementation, testing, deployment, and optimization—ensuring architectural integrity, adherence to standards, and continuous performance improvement across platform and data solutions.

• Bachelor’s degree in Computer Science, Engineering, or related field experience; advanced degree preferred
• 4+ years of experience in architecture, data platforms, or performance/operational analytics environments
• Demonstrated expertise in data architecture, API integrations, and/or modern platform technologies, including cloud‑native and AI/ML capabilities
• Strong ability to translate business strategy into scalable technical solutions, with experience partnering across product, engineering, and executive stakeholders
• Proven experience supporting end‑to‑end solution delivery within Agile/SDLC frameworks, with a focus on performance optimization, governance, and continuous improvement

• Experience with enterprise data and integration tools such as Informatica, Maestro, and ERwin, including data modeling, lineage,…