- Strong leadership, coaching and talent development skills.
- Ability to influence senior stakeholders and build alignment across diverse teams.
- Excellent communication skills with the ability to simplify complex technical topics for business audiences.
- Strong strategic thinking and business problem-solving capabilities.
- Good understanding of the end-to-end Data Science lifecycle, from problem definition through deployment and monitoring.
- Working knowledge of machine learning, predictive analytics, statistical methods and model evaluation techniques.
- Understanding of Generative AI, Large Language Models, Agentic AI and emerging AI trends.
- Good understanding of Python, SQL and modern analytics ecosystems without the expectation of daily hands-on development.
- Awareness of cloud-based analytics platforms, data engineering concepts and MLOps practices.
- Understanding of data governance, model governance, privacy requirements and responsible AI principles.
- Ability to balance technical considerations with business priorities and practical implementation needs.
- Strong collaboration and stakeholder management skills across business and technology functions.
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, 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.
As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We're looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value.
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!
#BI-Hybrid
Skills Required
- Strong leadership, coaching, and talent development skills
- Ability to influence senior stakeholders and build alignment across diverse teams
- Excellent communication skills, including simplifying complex technical topics for business audiences
- Strong strategic thinking and business problem-solving capabilities
- Understanding of the end-to-end Data Science lifecycle, from problem definition through deployment and monitoring
- Working knowledge of machine learning, predictive analytics, statistical methods, and model evaluation techniques
- Understanding of Generative AI, Large Language Models, Agentic AI, and emerging AI trends
- Understanding of Python, SQL, and modern analytics ecosystems
- Awareness of cloud-based analytics platforms, data engineering concepts, and MLOps practices
- Understanding of data governance, model governance, privacy requirements, and responsible AI principles
- Ability to balance technical considerations with business priorities and practical implementation needs
- Strong collaboration and stakeholder management skills across business and technology functions
MetLife Compensation & Benefits Highlights
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Retirement Support — Retirement offerings include both a company 401(k) match and a pension/cash-balance component for eligible employees, which is highlighted as a notable strength. This combination is described as providing stronger long-term security than a 401(k) alone.
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Healthcare Strength — Health coverage is described as broad with family options and relatively low premiums, and medical, dental, and vision plans are often cited as standouts. Additional wellbeing resources such as counseling, condition-specific programs, and related support further reinforce this area.
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Leave & Time Off Breadth — Paid time off is often characterized as generous, with many noting good work-life balance in several departments. Parental and family support resources also appear in the package, adding flexibility for caregiving needs.
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.
Gallery
MetLife Teams
MetLife Offices
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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