Director - Data Partnerships & Monetization

Position Summary CVS Health’s Analytics & Behavior Change (A&BC) organization is focused on solving complex challenges at the intersection of healthcare, data, and technology. A&BC leverages advanced analytics, machine learning, and a hypothesis‑driven approach to transform data into actionable, customer‑centric insights that drive growth, improve health outcomes, and expand access to care across the enterprise. The Director, Data Partnerships & Monetization strategy for external data partnerships and monetization portfolio, owning the vision, roadmap, and commercial performance of the data licensing business. What you will do Enterprise Data Partnerships & Commercial Strategy (~60%) Define and scale CVS Health’s external data partnership and monetization strategy across healthcare, life sciences, technology and adjacent industries. Identify, source, and develop new partnership and commercialization opportunities. Build and manage a pipeline of strategic partnerships, advancing opportunities from discussions to deal execution. Develop repeatable partnership models, including structure, governance, and operation. Represent CVS Health in external forums, conferences and partner meetings to expand market presence. Partner with the VP of Data Products and Monetization to shape new partnership opportunities and commercial materials. Establish scalable partnership frameworks (pricing models, governance, operating models) to support growth. Portfolio Ownership & Operational Own performance and operational health of the data licensing portfolio, tracking revenue, growth targets and partner satisfaction. Oversee delivery of data products to external partners, ensuring reliability, scalability and adherence to SLAs. Lead cross‑functional coordination across Engineering, Product, Legal and partner teams to deliver enhancements, resolve issues and evolve product offerings. Establish and scale standardized operating rhythms, including quarterly business reviews, performance reporting and forward‑looking roadmap alignment. Ensure high‑quality, enterprise‑grade documentation and technical transparency for all external data products. Strategic Data Sourcing & Enterprise Enablement (~40%) Serve as enterprise leader for third‑party data strategy, ensuring effective use of external assets to unlock business value. Act as senior internal authority on strategic third‑party data assets, guiding adoption, use‑case development and value realization. Align external data capabilities with high‑priority business use cases across Analytics, Product and Engineering. Drive enterprise‑wide enablement through scalable documentation, governance and self‑service frameworks. Oversee data quality, coverage and performance, proactively addressing risks and optimizing partner value. Lead evaluation and sourcing of new external data assets to expand internal capabilities and support innovation. Enable integration of external data into analytics workflows and product development to deliver measurable outcomes. Required Qualifications 5+ years of experience in data product management, partnerships, business development, analytics operations, or a related field. 5+ years leading complex, cross‑functional initiatives involving Engineering, Analytics, Legal, Product and external partners with a degree of autonomy. 5+ years of strong communication skills: translating technical concepts for business audiences and business requirements for engineering teams. 5+ years managing or supporting external client or partner relationships, ideally in a B2B data, analytics, or healthcare technology context. 3+ years working hands‑on with large, structured datasets (SQL or equivalent). Experience building and maintaining product or technical documentation. Preferred Qualifications Experience in healthcare data, claims data or health analytics platforms. Familiarity with third‑party healthcare data assets and their licensing, onboarding or ongoing management. Experience supporting commercial partnership discussions or deal processes, including pricing, contract terms, renewals or expansions. Ability to run basic statistical analyses or data quality checks (Python, R or SQL). Exposure to Agile methodologies and tools (Jira, Confluence or similar). Education Bachelor’s degree required, preferably in a quantitative, analytical or technical field (e.g., Data Science, Statistics, Computer Science, Health Informatics, Economics or related discipline). Master’s degree or MBA preferred. Pay Range The typical pay range for this role is: $144,200.00 - $288,400.00. This represents the base hourly rate or base annual salary for all positions in the job grade within which this position falls. The actual base salary will depend on experience, education, geography and other factors. #J-18808-Ljbffr