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HomeCompaniesHophrSenior Manager, Data Partnerships & Monetization

Senior Manager, Data Partnerships & Monetization

Hophr · Remote · Hybrid · Active · Lever

Job facts

FieldValue
CompanyHophr
TitleSenior Manager, Data Partnerships & Monetization
Normalized title-
Department / teamData Science / Analytics
LocationUnited States
Work modelHybrid / Hybrid
Employment typeContractor
Salary-
Statusactive
ATS providerLever
Posted / first seen2026-04-27 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Hophr.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Data Science.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyHophr
Source98e82113-48f8-4a8a-9ad8-b70e3d5a2efe
ATS providerLever

Description

Client: CVS Health — Analytics & Behavior Change (A&BC) \u007C New York, NY / Hybrid Engagement type: Contract-to-hire. Initial contractor engagement with planned conversion to full-time employment pending performance and mutual fit. CVS Health's Analytics & Behavior Change (A&BC) organization leverages advanced analytics, machine learning, and a hypothesis-driven approach to transform data into actionable, customer-centric insights across all CVS Health businesses — serving 100+ million customers. As Senior Manager of Data Partnerships & Monetization, 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. 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 — and who can operate with a high degree of autonomy. External Data Partnerships, Licensing & Commercialization (~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 (~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 expert 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 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 • Partner with Data Engineering and Analytics teams to support onboarding, integration, and ongoing use of 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 actionable 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 • Demonstrated ability to manage complex, cross-functional initiatives with a degree of autonomy • Strong communication skills — 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 • Proficiency in SQL or equivalent data querying; comfort working with large, structured datasets • Experience building and maintaining product or technical documentation • Familiarity with data pipeline concepts, data schemas, and API-based data delivery Preferred Qualifications • Experience in healthcare data, claims data, or health analytics platforms • Familiarity with third-party healthcare data assets (e.g. IQVIA, Komodo, HealthVerity, Datavant) • Experience supporting or participating in commercial partnership discussions or deal processes • 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 (Data Science, Statistics, Computer Science, Health Informatics, Economics, or related discipline).

Full job record

Job ID62370b6225ebb5d989f24a31eccb3657d0ef5540
Org IDc02383ec-f1aa-4454-a175-b91896851020
Source ID98e82113-48f8-4a8a-9ad8-b70e3d5a2efe
Board ID98e82113-48f8-4a8a-9ad8-b70e3d5a2efe
Providerlever
Provider Job Keyd0a47f16-5a88-4410-935e-8e5166493924
TitleSenior Manager, Data Partnerships & Monetization
Normalized Title
Statusactive
Activeyes
Location TextRemote
DepartmentData Science
TeamAnalytics
Employment TypeContractor
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
Region
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.lever.co/hophr/d0a47f16-5a88-4410-935e-8e5166493924
Apply URLhttps://jobs.lever.co/hophr/d0a47f16-5a88-4410-935e-8e5166493924/apply
First Seen At2026-05-29 07:01:27Z
Last Seen At2026-06-06 07:56:33Z
Last Checked At2026-06-06 07:56:33Z
Last Changed At2026-05-29 07:01:27Z
Inactive At
Source Posted At2026-04-27 22:27:58Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=hophr/date=2026-06-06/2026-06-06T07-56-33-106Z-66b290b87268f1a7a1f2329dae781d4b69aa44b815e3d81199621aa8f910c716.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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