MetLife

MetLife

Recognized on Fortune magazine's list of the 2024 "World's Most Admired Companies", Fortune World’s 25 Best Workplaces™ for 2024, as well as the 2024 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. With over 150 years of disciplined risk-management experience, MetLife provides deep expertise in skillfully navigating markets with the goal of delivering strong, risk-adjusted returns. The firm’s client-centric culture enables a singular focus on creating tailored solutions designed to help their clients meet their unique objectives – both today and moving forward in future.

MetLife is one of the largest institutional investors in the U.S. with $609.3 billion of total assets under management as of September 30, 2024. The company is ranked #60 on the Fortune 500 list for 2024. MetLife is committed to building a purpose-driven and inclusive culture that energizes their people. The company’s employees work every day to help build a more confident future for people around the world.

The Team

The position sits within the newly consolidated Data and Analytics (D&A) organization supporting the U.S. Business of MetLife. U.S. D&A assists all business lines of MetLife’s U.S. business (about 2/3 of MetLife Global by earnings) with everything related to data, analytics and data science, from data infrastructure, data governance, data engineering, data modeling, data analysis to business intelligence, data science and AI.

The Role

MetLife is seeking an experienced leader of Data Science for the Dental and Vision product within its Group Benefits business. Dental insurance is one of the largest product lines at MetLife and we are a top 3 provider of dental insurance in the U.S. You can be part of the team that plans to become the dominant dental insurer in the country. Reporting directly to the CDAO for Dental and Vision insurance, this position will oversee all Advance Analytics and AI efforts for this product line.

Key Responsibilities

·         Date science in Dental: Underwriting models, claims auto-adjudication logic and models, fraud waste and abuse analyses and models (mostly provider-related), dental network analyses, consumer analytics, network expansion analytics and much more.

·         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.

·         15+ years of progressive experience in data science leadership

·         10+ years of dental, 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.

·         Experience with employee benefits plans is a plus.

·         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).

·         Expertise in data engineering, data governance and Data/ML Ops and related software and procedures. Proficiency in SQL.

·         Expertise in Business Intelligence is a plus.

·         Experience with Hadoop and MS Azure is a plus.

·         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

Location

This position can be based at our Bridgewater, NJ office, Cary, NC office, or our corporate headquarters in NYC. We are currently on hybrid schedule with 3 days per week in the office.

Travel Requirements

<10% required for stakeholder meetings, office location visits and industry conferences.