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On-site Owned and Operated; O&O Product Manager - CVS Media Exchange; CMX

Job in Woonsocket, Providence County, Rhode Island, 02895, USA
Listing for: CVS Health
Full Time position
Listed on 2026-07-08
Job specializations:
  • IT/Tech
    Data Analyst
Job Description & How to Apply Below
Position: On-site Owned and Operated (O&O) Product Manager - CVS Media Exchange (CMX)
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 Media Exchange [CMX] is dedicated to driving measurable outcomes for our suppliers, merchants, stores, GMs, brand advertisers, and agencies. Our full-funnel ad solutions leverage CVS's in-store and online data, extensive reach, and to provide measurable results for our clientele. With a range of flexible pricing and buying models, including self-service; these solutions help businesses build brand awareness, engage with CVS consumers, and convert CVS consumers to shoppers.

As the Onsite Product Manager, you will partner with the O&O (Owned and Operated) team to drive the development, execution, and continuous optimization of onsite display and sponsored advertising experiences, including Sponsored Products and Sponsored Brands. This role is critical to expanding CMX's onsite monetization capabilities, improving ad relevance and performance, and driving measurable outcomes for advertisers. You will work closely with engineering, ad operations, sales, and data science to build scalable, high-impact solutions across CMX's onsite surfaces.

Responsibilities include, but not limited to:
Contribute to and help evolve the onsite advertising product roadmap, including display and sponsored formats (Sponsored Products and Sponsored Brands), with a focus on performance and scalability Support the development and optimization of onsite inventory strategy, including placement design, ad formats, and monetization approaches across key surfaces Act as a supporting subject matter resource for onsite ad serving and platform capabilities, leveraging working knowledge of GAM (ad units, key-values, targeting, yield optimization) Partner with cross-functional teams to improve platform performance and scalability, including trafficking workflows, targeting capabilities, and reporting accuracy Assist in advancing auction dynamics, ranking logic, and ad relevance, including integration across search and browse experiences Deploying interactive dashboards and visualizations using Tableau, Looker, and Power BI to track performance metrics and KPIs;

defining and monitoring key performance indicators (KPIs) for engagement and monetization, and creating benchmarks against industry standards. Utilizing data analysis tools and languages including Excel, SQL, R and Python, and data visualization tools including Tableau, Looker and Power BI. Leverage data and measurement insights to support product decisions, including experimentation, performance analysis, and attribution alignment.

Location:

This role can be based remotely in the U.S. or near one of our Corporate Hubs.

If you are commutable to one of the following Corporate Hubs, you must work in the office 2 or more days a week:

Wellesley, MAWoonsocket, RINew York Soho area, NYChicago, IL Required Qualifications 5+ years of product management experience within digital advertising, retail media, or AdTech, including hands-on experience with onsite advertising products, including Display, Sponsored Products and/or Sponsored Brands. Experience working cross-functionally with Ad Ops, Engineering, and Sales teams

Experience with working knowledge of GAM, including inventory structure, key-values, targeting, and trafficking workflows Experience utilizing data analysis tools and languages including Excel, SQL, R and Python, and data visualization tools including Tableau, Looker and Power BI.

Preferred Qualifications Experience working with retail media networks and understanding of onsite monetization strategies Familiarity with auction-based systems, relevance/ranking logic, and performance optimization Strong analytical skills with experience using performance metrics to guide product decisions Leverage data and measurement…
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