Director - Data and AI, Engagement Strategy

Role Value Proposition
The position sits within the newly consolidated Data and Analytics (D&A) organization supporting the U.S. Business of Met Life. U.S. D&A assists all business lines of Met Life’s U.S. business (about 2/3 of Met Life 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.

Key Responsibilities

• Strategic leadership:
  Serve as a vital member of the extended Engagement Strategy leadership and governance team, participating in strategic planning and goal setting. Build strategic partnerships with key business, Technology, and other leaders.
• Team Development & Cultural Transformation:
  Lead the cultural shift from a traditional technology-focused data team to a business-outcome-driven mindset. Develop training programs to build marketing and customer domain knowledge, as well as communication skills. Redesign performance metrics to emphasize business impact and stakeholder satisfaction.
• Initiative delivery:
  Co‑develop and execute the data and analytics roadmap aligned with the re‑enrollment strategy team and engagement program objectives and enterprise data strategy.
• Opportunity assessment:
  Deliver a unified business intelligence platform that can serve as a source for employer and employee insights, including re‑enrollment and participation analytics, by enabling AI‑ready data and advanced analytics techniques that expand the breadth and depth of growth opportunity analysis aligned to Sales and Marketing Analytics strategy.
• Plan and deliver strategic business analytics and AI solutions, including Business Intelligence, Self‑Service reporting/dashboarding, Propensity models, Sales Analytics, and Marketing Analytics by partnering with business, technology, and marketing partners.
• Lead the ideation and exploration of an LLM/AI‑based data management and reporting solution to improve efficiency and speed to market.
• Data hub and reporting modernization:
  Continue building a new data hub that supports the re‑enrollment strategy team’s goals and objectives.
• Dashboards and reporting:
  Rationalize and migrate manual data sources to the new data infrastructure, and design and operational dashboards to meet business needs and KPIs to measure the opportunity assessment.
• Data Science/AI:
  Ideate, design, and execute various data science solutions that provide meaningful business outcomes, in collaboration with major stakeholders (e.g., benchmarking, utilization reporting, propensity models, CLTV values, lapse analysis).
• Governance and data expertise:
  Establish governance frameworks for data modeling, metadata, data quality, and related regulatory compliance. Create D&A‑side data owners and data stewards who function as data community leaders and facilitators for disability‑related data domains to tackle complex and routine data decisions.
• Establish and facilitate effective governance through best‑practice lean‑agile management routines and cadences to engage critical cross‑functional executives and stakeholders in ongoing business management and program‑level decision‑making.
• Global team and resource management:
  Fully integrate a global team by balancing U.S. employees, India‑based employees (in multiple locations), and consulting resources. Drive consistent culture and performance standards to maximize effectiveness. Design career development paths for high‑potential talent.

Essential Business Experience and Technical

Skills:

Required

• Master's degree in Statistics, Mathematics, Computer Science, Engineering, or related quantitative field, or a B.S. degree with continuing education could be equivalent.
• 10+ years of progressive experience in advanced data analytics and/or AI leadership.
• 5+ years of insurance business and/or financial industry experience with sales, marketing, and/or customer engagement analytics.
• 7+ years’ experience in Data and Analytics focused on simplified data, business intelligence, and advanced analytics delivery.
• 5+ years’ experience in advanced analytics, statistical modeling, and data science, including classical, modern…