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VP, Data Strategy & Clinical Intelligence - Medical Affairs

Job in Woonsocket, Providence County, Rhode Island, 02895, USA
Listing for: Hispanic Alliance for Career Enhancement
Full Time position
Listed on 2026-05-26
Job specializations:
  • IT/Tech
    Data Security, Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

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…
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