VP, Data Strategy & Clinical Intelligence - Medical Affairs

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

The Vice President, Data Strategy & Clinical Intelligence, will report to the EVP, Chief Medical Officer of CVS Health, will create a high-performing analytics team, forge productive partnerships with the enterprise Data & Technology team, establish the frameworks and infrastructure to measure Medical Affairs' contribution to enterprise goals, and serve as the medical affairs representative to enterprise AI governance, with specific responsibility for clinical safety and quality of AI applications.

This role is both strategic and operational. The successful candidate will need to translate clinical questions into data strategies, navigate a complex matrixed organization, build credibility with business unit leaders who control data access, and produce insights that change how CVS Health makes clinical and business decisions.

Responsibilities Analytics Strategy & Team Build
• Stand up a new clinical analytics function within Medical Affairs, recruit data engineers, data scientists, and clinical informaticists who can operate at the intersection of healthcare data and business strategy.
• Build a productive working relationship with Data and Technology team, establishing service-level expectations, and creating a sustainable operating model for how Medical Affairs accesses enterprise data assets.
• Develop the data architecture, pipelines, and reporting infrastructure needed to deliver recurring performance insights to Medical Affairs leadership and the business units it serves.
• Create a self-service analytics layer where feasible, reducing dependence on ad-hoc data requests and enabling Medical Affairs leaders (Aetna CMO, Caremark CMO, Retail Health CMO, Chief Quality Officer, Chief Psychiatric Officer, Women's Health and Genomics CMO ) to track their own KPIs.Clinical Metrics Definition & Performance Management
• Partner with business units, Digital, Data & Technology, and Finance to establish rigorous, enterprise-accepted definitions for critical clinical metrics-including prior authorization burden, decision quality, days spent at home, clinical outcomes by care journey, total cost of care attributable to clinical initiatives, and safety outcomes.
• Own the Medical Affairs strategic execution scorecard: set baselines, define targets, build tracking mechanisms, and deliver regular performance reporting against operating plan KPIs and longer-term strategic goals.

Advanced Analytics & Data Science
• Identify and prioritize high-value analytical use cases that leverage CVS Health's unique data assets across pharmacy, insurance claims, clinical encounters, and consumer behavior-including but not limited to provider and long-term care facility profiling, fraud detection, clinical pathway optimization and predictive models for earlier diagnosis of rare diseases.
• Develop models and insights that directly support Medical Affairs strategic priorities such as care journey optimization, behavioral health and women's health program expansion, biosimilar adoption, formulary strategy, and cardiovascular disease mortality reduction.
• Create data-driven provider performance profiles that support network quality improvement, clinically integrated network (CIN) development, and value-based care contracting.

Clinical AI Governance & Patient Safety
• Serve as the Medical Affairs representative to the enterprise AI governance group, ensuring that clinical safety, quality, and patient-outcome perspectives are embedded in all AI governance decisions.
• Develop clinical AI readiness criteria and validation protocols for new AI applications before they are deployed in clinical or member-facing contexts.
• Design and implement a systematic framework for ongoing monitoring of clinical AI…