Senior Manager, Data Partnerships & Monetization

Hybrid

Open 6 months, first seen by us 199 days ago

Pay: Pay not listedSimilar roles state $154K–$226K
Work setting: Remote — work setting source
Listed location: Remote
Read the full posting
Employment: Contract — employment source
Employment type Contractor
Employment type in the employer’s posting: Contractor
From the employer’s posting

Before you apply

Employer’s visa record: 1 H-1B petition approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.

What you’ll work on

Full posting

Identify, source and develop new data partnership and licensing opportunities
Own operational health of active data licensing partnerships, including SLAs and feed updates
Plan and lead quarterly business reviews with partners
Serve as primary contact for internal teams using external data assets
Maintain product documentation, release notes and self-service guidelines

From the employer’s posting

Identify, source, and develop new data partnership and commercialization opportunities

Own the end-to-end operational health of active data licensing partnerships including tracking deliverables, schema changes, feed updates, and SLA compliance

Plan and lead quarterly business reviews with partners

Serve as the primary point of contact for internal analytics and product teams seeking to leverage external data assets

Maintain clear, up-to-date documentation of data product specifications, schema changes, and release notes

What you’ll bring

All qualifications

Core experience

5+ years of experience in data product management, partnerships, business development, analytics operations, or a related field
Bachelor's degree required, preferably in a quantitative, analytical, or technical field (Data Science, Statistics, Computer Science, Health Informatics, Economics, or related discipline).
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

Preferred experience

Experience in healthcare data, claims data, or health analytics platforms
Familiarity with third-party healthcare data assets (e.g.
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)

Qualification wording

5+ years of experience in data product management, partnerships, business development, analytics operations, or a related field

Bachelor's degree required, preferably in a quantitative, analytical, or technical field (Data Science, Statistics, Computer Science, Health Informatics, Economics, or related discipline).

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 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)

Education & alternatives

Education Bachelor's degree required, preferably in a quantitative, analytical, or technical field (Data Science, Statistics, Computer Science, Health Informatics, Economics, or related discipline). Employment type

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Posting record

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Open 6 monthsWe first saw this posting 199 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Apr 28, 2026199 days ago
Recorded sightings: 97
Last seen by us: Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$154K–$226K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,103 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 199

Up longer than most. Similar jobs usually come down between day 8 and day 57.

From 9,462 similar postings that came down. Coming down is not always a hire.

Hophr is hiring

4 open jobs

No new data jobs since May
Its jobs tend to stay up a long time

Hiring record

See how this role fits your experience

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Python
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SQL

Where the posting names them

• 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)

• 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

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Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025: $175,140
Expected change, 2025 to 2035: 15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

Client: CVS Health — Analytics & Behavior Change (A&BC) | 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