Senior Manager, Data Partnerships & Monetization

About the role

You will own the strategy and execution of CVS Health's external data licensing portfolio while serving as the internal authority on strategic third-party data assets within the Analytics & Behavior Change organization. This is a high-visibility, cross-functional role requiring someone equally credible with external healthcare analytics and technology partners, internal engineering teams, and senior business stakeholders. You will operate with a high degree of autonomy to source, develop, and manage partnerships that commercialize data products across healthcare, life sciences, and adjacent industries. A core responsibility is ensuring data products are reliably delivered, commercially compelling, and positioned for long-term growth. You will represent CVS Health externally in forums and conferences to originate new opportunities and strengthen market presence. This role involves significant collaboration with the VP of Data Products and Monetization to shape commercial materials, partnership structures, and strategic discussions. You will translate complex data capabilities into actionable business strategies that drive measurable value across the enterprise.

Key facts

What you'll do

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, such as frequency upgrades, schema expansions, translating technical requirements into partner-ready solutions.

Track and report on revenue across internal scorecards and business reviews, ensuring transparency and accountability for data product performance.

Plan and lead quarterly business reviews with partners, including usage analytics, product updates, and forward-looking roadmaps to foster ongoing collaboration.

Serve as the primary point of contact for internal analytics and product 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 and reduce friction in data usage.

Partner with Data Engineering and Analytics teams to support onboarding, integration, and ongoing use of external data assets, ensuring seamless implementation.

Monitor data quality, coverage, and performance, proactively identifying and resolving issues in partnership with internal and external stakeholders to maintain trust.

Identify and evaluate new external data sources and strategic partners to enhance internal analytics and product capabilities, supporting innovation.

Align external data assets to high-priority business use cases, helping translate data capabilities into actionable insights and product features that drive impact.

Support the integration of external data into analytics workflows and product development to drive measurable business outcomes and optimize value.

Requirements

5+ years of experience in data product management, partnerships, business development, analytics operations, or a related field, providing a foundation for executing this role.

Demonstrated ability to manage complex, cross-functional initiatives with a degree of autonomy, ensuring progress without constant oversight.

Strong communication skills, being equally comfortable translating technical concepts for business audiences and business requirements for engineering teams.

Experience managing or supporting external client or partner relationships, ideally in a B2B data, analytics, or healthcare technology context.

A proven track record of developing and maintaining partnerships in data-driven environments, showing an ability to execute repeatable models.

Comfort working with structured and unstructured data sets to assess viability, integration requirements, and potential value of data partnerships.

Experience with data licensing, commercialization, or revenue-generating models in a healthcare or analytics context is essential for understanding the business impact.

Understanding of healthcare data ecosystems, including privacy, compliance, and regulatory considerations relevant to data sharing and usage.