Vice President, Applied AI Science for Employee Benefits

What you'll do

• Define and lead the Applied AI and data science strategy for Employee Benefits across enrollment, billing, and service delivery.
• Drive the transformation of business processes through machine learning, generative AI, and predictive analytics.
• Oversee the end-to-end lifecycle of AI solutions from problem framing and development to deployment and monitoring.
• Ensure all AI initiatives comply with enterprise governance, model risk management, and regulatory requirements.
• Manage investment planning, workforce strategy, and cross-functional prioritization to achieve measurable business outcomes.
• Champion the reuse and standardization of data science assets across the organization.
• Lead a research and innovation agenda to integrate emerging AI tools and techniques into workflows.
• Monitor industry trends and regulatory changes to maintain competitive positioning in the healthcare benefits space.

What we're looking for

• A Bachelor's degree is required, with a Master's or Ph.D. preferred.
• 20+ years of experience in Applied AI, data science, machine learning, or related quantitative fields are required.
• 10+ years of experience leading large, complex organizations and senior leaders across multiple teams and portfolios are required.
• Experience operating at the VP level influencing enterprise direction is required.
• Expertise in generative AI, agentic AI, retrieval-augmented systems, and production AI operations is required.
• Proficiency in data science methods including forecasting, operational optimization, and cost/efficiency modeling is required.
• Experience with AI governance, model risk management, and responsible AI practices in regulated environments is required.