Vice President, Applied AI Science for EB, Ops, and Customer
Core
Define and lead the next generation of AI-driven transformation across employee benefits and operations, driving strategy, execution, and governance for enrollment, billing, customer service, and operational functions.
Role type
VP, Applied AI Science (Strategy & Leadership)
Builds
Enterprise AI strategy, responsible AI practices, and organizational capability for AI-powered future.
Domain
Insurance (Employee Benefits & Operations)
Deliverable
production ML models | product features | dashboards & analysis | research | client delivery | infrastructure
Required skills
Applied AI strategy, Generative AI, Agentic AI, predictive analytics, data science, quantitative methods, AI governance, model risk management, business process transformation, executive influence, cross-functional alignment
Preferred skills
Employee Benefits domain expertise, healthcare-related domains, complex service-heavy insurance operations
Technologies
Generative AI, Agentic AI, retrieval-augmented systems, traditional models
Responsibilities
Own Applied AI strategy and integrated data science outcomes across multiple lines of business; Lead executive decision-making across supported lines of business; Drive transformation of Employee Benefits and Operations processes through Applied AI; Ensure consistent adherence to enterprise AI governance frameworks; Set direction for evaluation and performance measurement across solutions; Oversee end-to-end Applied AI and data science lifecycle; Lead the identification and integration of new data sources and AI tooling; Design and scale the Applied AI leadership system; Define and lead a domain-level Applied AI research and innovation agenda; Monitor external AI, healthcare benefits, and regulatory trends
Seniority
VP, hands-on IC with strategic leadership
