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
AI-powered solutions for employer lifecycle, enrollment, billing, service delivery, and operational optimization
Domain
Insurance (Employee Benefits & Operations)
Deliverable
production ML models
Required skills
Applied AI strategy, Generative AI, Agentic AI, Predictive analytics, Model risk management, Responsible AI practices, Data science leadership, Regulatory fluency (HIPAA, ERISA), Cross-functional alignment
Preferred skills
Employee Benefits domain expertise, Healthcare benefits experience, Complex service-heavy insurance operations
Technologies
Retrieval-augmented systems, Generative AI, Agentic AI, Traditional ML models
Responsibilities
Own Applied AI strategy across multiple lines of business, Lead executive decision-making on trade-offs, Drive process transformation via AI, Ensure adherence to enterprise AI governance, Set direction for evaluation and performance measurement, Oversee end-to-end AI lifecycle, Lead integration of new data sources and AI tooling, Oversee AI risk posture and model governance, Drive cross-line of business prioritization and workforce strategy, Champion reuse and standardization of AI assets, Partner with business leaders to embed AI, Design and scale the AI leadership system, Define research and innovation agenda, Monitor external AI and regulatory trends
Seniority
VP, hands-on IC with strategic leadership
