Data Product Manager, Retail Media

Circle K•Tampa, FL

About The Position

Circle K’s Full Circle Media is its in-house retail media and data monetization engine, designed to support customer acquisition, increase traffic, and drive incremental sales. The company is developing a unified global retail media platform spanning in-store screens, offsite media activation, and privacy-first data products powered by first-party insights. The Data Product Manager will lead audience strategy and activation, measurement and attribution, incrementality testing, and performance insights. The role defines and maintains enterprise audience taxonomy, builds customer audiences using first-party data and predictive modeling, and enables consistent activation across digital, in-store, and offsite channels. It establishes measurement frameworks and pipelines that connect media exposure to business outcomes, including sales lift, basket size, and purchase frequency, and develops transparent advertiser reporting and feedback loops. This position leads a team of Data Product Specialists and partners with the Group Product Manager and cross-functional teams to define and deliver the data product vision, roadmap, and backlog. The role owns data components across the retail media platform, coordinates integrations and tracking with Ad Operations and Data Engineering, maintains data catalog and lineage documentation, and drives adoption of data products through enablement, demos, and user support.

Requirements

Advanced degree in Engineering, Data Science, or a related analytical field.
At least 7 years of experience in one or more of data engineering, data analytics, or data architecture.
Experience with enterprise demand-side platforms for programmatic media buying, including campaign setup, optimization, and reporting; Google Display & Video 360 is cited.
Good understanding of advanced ad-serving and yield-management platforms for publisher operations; Google Ad Manager 360 is cited.
Strong hands-on experience with SQL, analytical and visualization tools such as Power BI, and cloud data warehouses such as Snowflake.
Strong team leadership, strategic thinking, and pragmatic execution skills, with responsiveness to evolving business needs.
Excellent English communication skills and ability to explain complex concepts to technical and non-technical stakeholders.
Collaborative, customer-focused problem-solving skills across geographies and organizational levels.
Curiosity and willingness to learn, with an interest in retail, loyalty programs, and emerging analytics techniques.

Responsibilities

Lead a team of Data Product Specialists.
Partner with the Group Product Manager to define and execute the data product vision, roadmap, and backlog.
Collaborate with Retail Media Sales, Ad Operations, Store Operations, Legal, and Privacy teams.
Translate business and advertiser needs into data solutions, including metric definitions, data models, self-service analytics, and scalable data products.
Own delivery of data components across in-store media, offsite media integrations, campaign tooling, measurement, and data monetization.
Define and evolve standardized enterprise audience taxonomy.
Build customer audiences using first-party data, behavioral signals, and predictive modeling, and support activation across digital, in-store, and offsite media.
Design and operationalize measurement frameworks and activation pipelines connecting media exposure to business outcomes.
Implement multi-touch attribution and closed-loop measurement using transaction-level data.
Standardize advertiser reporting methodologies for consistent, transparent insights.
Lead incrementality testing, including A/B tests, geo-lift studies, and holdout groups, and establish test-and-learn frameworks.
Develop audience performance feedback loops and deliver actionable campaign insights to advertisers and internal stakeholders.
Build dashboards and self-service analytics tools for campaign visibility.
Partner with Ad Operations to validate ad tags, inventory configuration, and event-level tracking in ad-serving environments.
Coordinate with Data Engineering to import data from enterprise demand-side platforms and ad-serving and yield-management platforms.
Maintain data catalog and lineage documentation to improve data discoverability, trust, and self-service adoption.
Work with Product Performance Analytics to provide certified datasets for monthly leadership dashboards and ad hoc reporting.
Drive data-product adoption by creating enablement guides, running demos, maintaining FAQs, collecting feedback, and supporting change communications.