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. As Vice President, Data Strategy & Clinical Intelligence, you will report to the EVP, Chief Medical Officer of CVS Health, build a high‑performing analytics team, and partner with the enterprise Data & Technology group to measure Medical Affairs’ contribution to enterprise objectives. Analytics Strategy & Team Build Stand up a new clinical analytics function within Medical Affairs, recruiting data engineers, data scientists, and clinical informaticists. Build productive working relationships with the Data and Technology team, establishing service‑level expectations and a sustainable operating model. Develop the data architecture, pipelines, and reporting infrastructure to deliver recurring performance insights. Create a self‑service analytics layer, reducing dependence on ad‑hoc data requests and enabling leaders to track their own KPIs. Clinical Metrics Definition & Performance Management Partner with business units, Digital, Data & Technology, and Finance to define rigorous, enterprise‑accepted definitions for critical clinical metrics. Own the Medical Affairs strategic execution scorecard: set baselines, define targets, and deliver regular performance reporting. Advanced Analytics & Data Science Identify and prioritize high‑value analytical use cases leveraging CVS Health’s data assets across pharmacy, insurance claims, clinical encounters, and consumer behavior. Develop models that support strategic priorities such as care journey optimization, behavioral health, women's health, biosimilar adoption, formulary strategy, and cardiovascular disease mortality reduction. Create provider performance profiles to support network quality improvement and value‑based care contracting. Clinical AI Governance & Patient Safety Serve as Medical Affairs representative to the enterprise AI governance group, ensuring clinical safety and patient‑outcome perspectives are embedded in AI governance. Develop clinical AI readiness criteria and validation protocols for new AI applications. Design a systematic framework for ongoing monitoring of clinical AI applications, including accuracy, bias detection, performance drift, and adverse outcome tracking. Partner with the Chief Quality Officer and Enterprise Patient Safety team to integrate AI safety monitoring into broader governance structures. Evidence Generation & Academic Partnerships Provide strategic direction to the Clinical Evidence Production team and set research priorities aligned with Medical Affairs and enterprise goals. Build and manage relationships with top‑tier academic institutions to support IRB‑compliant research using CVS Health’s longitudinal datasets. Increase the volume and impact of peer‑reviewed publications, white papers, and external presentations. Strategic Partnership & Value Communication Translate data and evidence into compelling narratives for ELT leadership, business unit leaders, regulators, plan sponsors, and external partners. Serve as analytical advisor to the CMO and the Medical Affairs leadership team, providing data‑informed perspectives on strategy, resource allocation, and investment prioritization. Qualifications 15+ years of progressive experience in healthcare data strategy, clinical analytics, health services research, or clinical informatics, with at least 5 years in a leadership role. Clinical degree (MD, DO) with informatics or data science training, or deep clinical domain fluency and a track record of earning credibility with physician and pharmacist leaders. Deep expertise in healthcare data ecosystems – claims, clinical, pharmacy, quality measurement, and value‑based care analytics. Demonstrated success building analytics teams and capabilities within large, matrixed healthcare organizations. Track record of translating complex data into strategic business narratives that influence executive decision‑making. Exceptional relationship‑building and influencing skills. Ability to operate effectively in complex organizations. Strong understanding of clinical AI/ML applications, including model validation, bias detection, drift monitoring, and regulatory considerations. Experience establishing or managing research partnerships with academic medical centers or health services research institutions. Experience in managed care, pharmacy benefit management, or integrated health system settings is valued. Familiarity with FDA and CMS regulatory frameworks relevant to clinical decision support and AI in healthcare is valued. Pay Range The typical pay range for this role is $325,000‑$400,000. Actual base salary will depend on experience, education, geography and other factors. The position is eligible for a bonus, commission or short‑term incentive program and includes an equity award target. Benefits Affordable medical plan options, 401(k) plan with company match, and employee stock purchase plan. No‑cost wellness programs including screenings, tobacco cessation, weight management, counseling and financial coaching. Paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance, tuition assistance, retiree medical access, and other benefits based on eligibility. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. #J-18808-Ljbffr