Director of Data Science in Disability

Posted 3 Hours Ago
Be an Early Applicant
New York, NY, USA
Hybrid
170K-210K Annually
Expert/Leader
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
At MetLife, we’re a purpose-driven company that helps our customers build a more confident future.
The Role
Lead Data Science for Group Disability product initiatives, owning AI and advanced analytics roadmaps, claims auto-adjudication, fraud and duration models, and claims triage. Manage a global analytics team, drive claims automation and processing improvements, partner with stakeholders to deliver data-driven solutions, and embed governance, MLOps, and scalable analytics to meet business and regulatory objectives.
Summary Generated by Built In
Description and Requirements
The Team You Will Join
At MetLife, data isn't just a tool - it is a catalyst for growth. As part of our Data & Analytics organization, you'll unlock trusted insights that drive bold decisions, power personalized customer experiences, and deliver lasting business impact. Your skills in AI, predictive modeling, and advanced analytics will help solve complex challenges, scale solutions globally, and fuel innovation across every region. We're building the future of data - one that's governed responsibly, engineered for scalability, and designed for growth. When you join us, you're not just supporting the business - you're empowering it. Let's transform insight into impact and data into action, together.
The Opportunity
MetLife is seeking an experienced director in Data Science for the Disability product initiatives within its Group Benefits business. The objective of these initiatives is to responsibly expand MetLife's market share in the Disability & Absence space and to improve employer and participant satisfaction with MetLife's Disability offerings, while meeting cost targets. Reporting directly to the CDAO for Group Disability insurance, this position will oversee all Advance Analytics and AI efforts for this product line.
Key Responsibilities
  • Date Science in Disability & Absence: Claims auto-adjudication logic and models, claims scoring and claims duration models, fraud waste and abuse analyses and models, triage models.
  • Advanced analytics leadership: Educate business partners in dental and vision and the related technology areas about the potential for analytics to add significant business value, influence relevant stakeholders and increase the use of advanced analytics in those business areas.
  • Initiative delivery: Co-develop and execute the data and analytics roadmap for Dental and Vision, aligned with business objectives and enterprise data strategy.
  • Claims automation: Enhance auto-adjudication models to substantially increase auto-adjudication rates, as well as processing speed, while maintaining accuracy.
  • Data Science: Ideate, design and execute various data science solutions that provide meaningful business outcomes, in collaboration with major stakeholders.
  • Global team and resource management: Fully integrate a global team spanning by balancing U.S. employees, India-based employees (both in multiple locations) and consulting resources. Drive consistent culture and performance standards to maximize effectiveness.
  • Proactive D&A leadership: Proactively identify and propose data-driven solutions to business challenges, leading analytics organization beyond traditional service provider role to become strategic innovation partner driving business transformation.

Required Qualifications
  • Master's degree in Statistics, Mathematics, Computer Science, or related quantitative field, B.S. degree with relevant experience or continuing education.
  • 10+ years of progressive experience in data science field with leadership experience.
  • 3 to 5+ years of Disability, life, medical or P&C insurance experience.
  • Solid understanding of HIPAA, the state insurance regulatory environment and other regulations relevant to data and data science in U.S. consumer insurance.
  • Demonstrated expertise in advanced analytics, statistical modeling, and data science, including classical, modern (ML/non-parametric) and AI methodologies.
  • Proficiency in statistical programming languages (Python, R). Demonstrated expertise with LLMs, prompt engineering/design, RAG architectures, fine tuning, and evaluation frameworks.
  • Expertise in data governance, Data/ML Ops, and/or data engineering, and related software and procedures. Proficiency in SQL.
  • Proven track record of leading analytics teams and delivering business value via creative data solutions while interacting with many stakeholders in a complex organization.
  • Excellence in stakeholder management and executive communication.

Preferred Qualifications
  • Experience with employee benefits plans is a plus.
  • Experience with building AI agents (e.g., LangChain) is a plus.
  • Expertise in Business Intelligence is a plus.
  • Experience with Hadoop and MS Azure is a plus.

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 $170,000 - $210,000 . 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

  • Master's degree in Statistics, Mathematics, Computer Science, or related quantitative field (or B.S. with relevant experience/continuing education)
  • 10+ years of progressive experience in data science with leadership experience
  • 3 to 5+ years of Disability, life, medical or P&C insurance experience
  • Solid understanding of HIPAA, state insurance regulatory environment and other regulations relevant to U.S. consumer insurance data and data science
  • Demonstrated expertise in advanced analytics, statistical modeling, and data science (classical, modern ML/non-parametric, and AI methodologies)
  • Proficiency in statistical programming languages (Python, R)
  • Demonstrated expertise with LLMs, prompt engineering/design, RAG architectures, fine tuning, and evaluation frameworks
  • Expertise in data governance, Data/ML Ops, and/or data engineering, and related software and procedures
  • Proficiency in SQL
  • Proven track record of leading analytics teams and delivering business value while engaging many stakeholders
  • Excellence in stakeholder management and executive communication
  • Experience with employee benefits plans
  • Experience with building AI agents (e.g., LangChain)
  • Expertise in Business Intelligence
  • Experience with Hadoop and Microsoft Azure

What the Team is Saying

Chelsea
Nick
Naren
Laura
Bill
Jing Huang
Sara Strauch
Dan Xiao
Cara Mootz
Cara Mootz
Naren Peri
Patricia Hixson
Jing Huang
Samantha Heron
Pete Clarke
Erica Provido
Rene Rivera

MetLife Compensation & Benefits Highlights

  • Retirement Support Feedback suggests retirement programs pair a 401(k) with company match and additional retirement plan structures, indicating a mature long‑term savings setup. This depth signals stability for employees prioritizing retirement security.
  • Healthcare Strength Comprehensive medical, dental, vision, disability, and life insurance are paired with wellness initiatives and 24/7 EAP access, indicating broad core coverage. HSAs/FSAs and second‑opinion resources further reinforce the healthcare offering.
  • Parental & Family Support Fertility coverage, personalized child/elder‑care guidance, adoption assistance, parental leave, and breast‑milk shipping for traveling nursing parents are highlighted. These supports extend benefits meaningfully beyond the basics.

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The Company
HQ: New York, NY
43,000 Employees
Year Founded: 1868

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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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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