About the role
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. 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. #LI-WRAPJOB 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.