Data Partnerships and Monetization Lead
CVSHealth
Sales & Business Development
Wellesley, MA, USA · Philadelphia, PA, USA · New York, NY, USA · Boston, MA, USA
USD 130,295-284,280 / year + Equity
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.
Position Summary
CVS Health's Analytics & Behavior Change (A&BC) is an organization working to solve some of the most challenging problems at the intersection of technology and healthcare. A&BC leverages advanced analytics, machine learning, modeling, and a hypothesis-driven approach to transform data into actionable, customer-centric insights to drive growth, improve health outcomes and access to health care across all our businesses in CVS Health. Our data teams build next generation data and machine learning platforms and products in the cloud that help CVS Health to make healthier happen for 100+ million customers.
As the Data Partnerships & Monetization Lead, you will own the strategy and execution of CVS Health’s external data licensing portfolio while serving as the internal authority on our strategic third-party data assets. This is a high-visibility, cross-functional role requiring someone who is equally credible with external healthcare analytics and technology partners, internal engineering teams, and senior business stakeholders — and who can operate with a high degree of autonomy.
Description
External Data Partnerships, Licensing & Commercialization (approx. 60%)
CVS Health licenses data products to a growing portfolio of external partners - spanning healthcare analytics and technology organizations, with emerging interest from broader industries. You will lead the sourcing, development, and management of these partnerships, ensuring our data products are commercially compelling, reliably delivered, and positioned for long-term growth.
Partnership Development & Deal Execution
- Identify, source, and develop new data partnership and commercialization opportunities across healthcare, life sciences, technology, and adjacent industries.
- Build and manage a pipeline of strategic partnerships, engaging prospective partners and advancing opportunities from initial discussions through deal execution.
- Represent CVS Health in external forums, conferences, and partner meetings to expand market presence and originate new opportunities.
- Partner with the VP of Data Products and Monetization to shape and advance new partnership opportunities, including developing commercial materials, defining partnership structures, and supporting external discussions.
- Develop and standardize repeatable partnership models, including how partnerships are structured, governed, and operated, to enable scalable growth.
Partner Ownership and Execution
- Own the end-to-end operational health of active data licensing partnerships including tracking deliverables, schema changes, feed updates, and SLA compliance.
- Maintain clear, up-to-date documentation of data product specifications, schema changes, and release notes, ensuring partners have accurate technical reference material.
- Coordinate with Data Engineering teams and partner teams to scope and deliver product enhancements (e.g., frequency upgrades, schema expansions), translating technical requirements into partner-ready solutions.
- Track and report on revenue across internal scorecards and business reviews.
- Plan and lead quarterly business reviews with partners, including usage analytics, product updates, and forward-looking roadmaps.
Strategic Data Sourcing & Product Enablement (approx. 40%)
A&BC maintains strategic data partnerships with a leading healthcare analytics provider, whose data powers solutions across CVS Health. You will serve as the internal owner and subject matter expertise for these data products: driving adoption, enabling new use cases, and ensuring the data delivers maximum value across the enterprise.
- Serve as the primary point of contact for internal analytics and products teams seeking to leverage external data assets, advising on applicability, limitations and best use cases.
- Maintain accessible documentation, FAQs, and guidelines to enable self-service adoption across teams.
- Partner with Data Engineering and Analytics teams to support onboarding, integration, and ongoing use for external data assets.
- Monitor data quality, coverage, and performance, proactively identifying and resolving issues in partnership with internal and external stakeholders.
Expanded Impact
- Identify and evaluate new external data sources and strategic partners to enhance internal analytics and product capabilities.
- Align external data assets to high priority business use cases, helping translate data capabilities into actional insights and product features.
- Support the integration of external data into analytics workflows and product development to drive measurable business impact.
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 demonstrating strong communication skills — effectively 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, including: SQL or equivalent data querying and interpreting schemas, pipelines and delivery mechanisms (APIs, feeds, files).
- 3+ years’ 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, including licensing, evaluation, onboarding, or ongoing management.
- Experience supporting or participating in commercial partnership discussions or deal processes, including pricing inputs, contract terms, renewals, or expansions.
- Ability to independently 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:
$130,295.00 - $284,280.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
Additional details about available benefits are provided during the application process and on Benefits Moments.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.