Data Partnerships and Monetization Lead

CVS Health•Boston, MA

23h

About The Position

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.

Requirements

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.
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).

Nice To Haves

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).
Master’s degree or MBA preferred.

Responsibilities

Lead the sourcing, development, and management of external data partnerships, ensuring data products are commercially compelling, reliably delivered, and positioned for long-term growth.
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.
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.
Serve as the internal owner and subject matter expertise for strategic data partnerships with a leading healthcare analytics provider, 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.
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.