The Team You Will Join
When you join MetLife'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 Opportunity
MetLife is seeking a VP, AI Transformation to serve as our enterprise AI strategist and technical visionary, reporting directly to the SVP of Emerging Tech Platforms & Architecture. This is a rare opportunity to shape how one of the world's most trusted insurance and financial services companies harnesses artificial intelligence to better serve 90+ million customers across 40+ markets.
You'll be the bridge between cutting-edge AI innovation and enterprise-scale impact. On one side, you'll scan the frontier, tracking breakthroughs in generative AI, agentic systems, multimodal models, and automation. On the other, you'll translate that intelligence into clear, prioritized strategies that drive measurable business outcomes: faster claims processing, more personalized customer experiences, smarter underwriting, and operational excellence at scale.
This role combines strategic influence with deep technical credibility. You'll advise senior leadership, guide our AI market intelligence team, and collaborate across product, engineering, data science, and architecture functions to ensure MetLife doesn't just adopt AI, we lead with it responsibly and at scale.
If you're energized by the idea of applying world-class AI to protect families, secure retirements, and build financial resilience for millions, this role is for you.
Key Responsibilities
AI Strategy & Market Intelligence
- Continuously scan the external AI landscape monitoring tech giants, startups, academia, competitors, and vendors for emerging trends (e.g., GenAI, agentic AI, foundation models, automation platforms)
- Synthesize complex AI developments into clear, actionable business guidance tailored to insurance and financial services use cases
- Lead and grow the AI market intelligence team, setting the agenda for what we track, evaluate, and act upon
- Serve as a trusted advisor to the SVP and executive leadership on AI opportunity, risk, and investment strategy
Applied AI Strategy & Experimentation
- Shape, in partnership with engineering, architecture and data science teams, a forward-looking point of view on where applied AI can create value across high-impact domains, identifying opportunities and emerging techniques:
- Customer Experience: Conversational AI, intelligent routing, sentiment analysis, personalization
- Claims & Underwriting: Document understanding, fraud detection, risk modeling, automation
- Operations: Process mining, forecasting, anomaly detection, code generation
- Knowledge Systems: Search, summarization, question answering, information extraction
- Recommend and pilot promising state-of-the-art techniques (e.g., retrieval-augmented generation, multimodal learning, model adaptation) through structured experiments in partnership with Data Science and Engineering teams.
- Balance research rigor with business pragmatism-prioritizing ideas that are realistic to operationalize, scalable, and tied to business value
Cross-Functional Collaboration & Enablement
- Partner horizontally across the Emerging Tech organization:
- Tools & Experimentation: Identify and pilot emerging AI capabilities
- Product Management: Translate AI trends into product roadmaps and feature prioritization
- Delivery & Engineering: Ensure AI solutions are production ready, monitored, and continuously improved
- Act as a bridge between external innovation and internal adoption, contextualizing what's possible and enabling execution at enterprise scale
- Elevate the technical bar across the organization through mentorship, knowledge sharing, and thought leadership
Governance, Quality & Trust
- Serve as a partner to MetLife's existing AI governance and risk functions to deploy model evaluation and controls into new and existing technologies, bringing an external, frontier-aware perspective across the AI control plane, AI security, and governance domains:
- AI control plane - policy enforcement, model routing guardrails, prompt/response inspection, and runtime intervention capabilities.
- AI security and governance - Responsible AI controls and regulatory alignment
Thought Leadership & Influence
- Represent MetLife externally with credibility at AI conferences, industry forums, and research communities
- Build MetLife's reputation as a destination for top AI talent and a leader in responsible AI innovation
- Foster a culture that values scientific depth, engineering excellence, and customer first impact
Required Qualifications
- 10+ years of experience in applied AI, machine learning, or data science, with at least 5 years in leadership roles
- Proven track record translating frontier AI research (e.g., LLMs, multimodal models, representation learning) into production systems that drive business value
- Deep technical expertise in one or more of the following:
- Large language models and generative AI
- Natural language processing (NLP) and information extraction
- Multimodal learning and representation learning
- Forecasting, anomaly detection, and predictive analytics
- Responsible AI, model evaluation, and governance
- Strategic acumen: Ability to synthesize complex technical trends into clear business implications and executive ready recommendations
- Consulting or advisory background strongly preferred - experience translating external innovation into internal strategy
- Excellent communication skills: Comfortable presenting to C suite executives, technical teams, and cross functional stakeholders
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related field; Master's or PhD strongly preferred
Preferred Qualifications
- Experience at a hyperscaler AI company (e.g., Google, Microsoft, Amazon, Meta, OpenAI) or leading AI consultancy
- Background in insurance, financial services, or insurtech - understanding of regulatory constraints, risk management, and customer trust
- Familiarity with enterprise AI platforms (e.g., Azure OpenAI, AWS Bedrock, Vertex AI) and MLOps tooling
- Published research or patents in AI/ML domains
- Experience building and scaling high performing technical teams
Location Expectation: This is a hybrid role requiring a minimum of 3 days per week in office.
The expected salary range for this position is $217,500 - $290,000 . This role may also be eligible for annual short-term incentive compensation and stock-based long-term incentives. All incentives and benefits are subject to the applicable plan terms.
Benefits We Offer
Our U.S. benefits address holistic well-being with programs for physical and mental health, financial wellness, and support for families. We offer a comprehensive health plan that includes medical/prescription drug and vision, dental insurance, and no-cost short- and long-term disability. We also provide company-paid life insurance and legal services, a retirement pension funded entirely by MetLife and 401(k) with employer matching, group discounts on voluntary insurance products including auto and home, pet, critical illness, hospital indemnity, and accident insurance, as well as Employee Assistance Program (EAP) and digital mental health programs, parental leave, paid time off, paid holidays, volunteer time off, tuition assistance and much more!
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies", Fortune World's 25 Best Workplaces™, as well as the Fortune 100 Best Companies to Work For®, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!
MetLife is an Equal Opportunity Employer. All employment decisions are made without regards to race, color, national origin, religion, creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, marital or domestic/civil partnership status, genetic information, citizenship status (although applicants and employees must be legally authorized to work in the United States), uniformed service member or veteran status, or any other characteristic protected by applicable federal, state, or local law ("protected characteristics").
If you need an accommodation due to a disability, please email us at [email protected]. This information will be held in confidence and used only to determine an appropriate accommodation for the application process.
MetLife maintains a drug-free workplace.
#BI-Hybrid
Skills Required
- 10+ years of experience in applied AI, machine learning, or data science
- At least 5 years in leadership roles
- Proven track record of translating AI research into production systems
- Deep technical expertise in NLP, LLMs, responsible AI, or predictive analytics
- Excellent communication skills presenting to C suite executives
- Bachelor's degree in Computer Science or related field
- Master's or PhD strongly preferred
MetLife Compensation & Benefits Highlights
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Retirement Support — Retirement benefits combine a 401(k) with company match and a company‑funded cash‑balance pension. This uncommon pairing strengthens long‑term security.
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Parental & Family Support — Family supports include paid parental leave, adoption assistance, caregiving resources, fertility coverage, and practical travel supports for nursing parents. These provisions go beyond core insurance to address real‑world family needs.
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Leave & Time Off Breadth — Time away includes a minimum of 22 days of PTO annually and a paid volunteer day, alongside bereavement and other leave options. This breadth provides meaningful flexibility for rest and life events.
MetLife Insights
What We Do
We're honored to be No. 10 on Great Place to Work's World's Best Workplaces and recognized in the Fortune 100 Best Companies to Work For® list in 2025. At MetLife, we're leading the global transformation of an industry we’ve defined for over 157 years. At MetLife, every innovation and line of code is a lifeline for our customers and their families—from victims of natural disasters to people living with disabilities and beyond. With operations in more than 40 markets and leading positions across the globe, MetLife fosters an inclusive culture where our people are energized and inspired to deliver for our customers and communities. Join our remarkable journey—one in which you help write the next century of innovation in financial services—because with MetLife, making the world a better place is All Together Possible.
Why Work With Us
At MetLife, you’ll be working for a company whose purpose is to help customers throughout their life’s journey, and often in their most critical time of need. You’ll be a part of developing leading-edge platforms that will have a lasting impact on the lives and well-being of tens of millions of customers.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
MetLife's current workplace policies classify roles as Office, Hybrid or Virtual based on the nature of work, encouraging new ways of working together



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