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Data Product Manager, Retail Media

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Circle K
Full Time position
Listed on 2026-10-12
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Data Engineering
Salary/Wage Range or Industry Benchmark: 120000 - 190000 USD Yearly USD 120000.00 190000.00 YEAR
Job Description & How to Apply Below
vRole Overview

At Circle K, our mission is simple: to make our customers’ lives a little easier every day. Whether you have stopped by for a coffee, refueled your car, or grabbed something to eat on the go, you already know who we are.

Full Circle Media is Circle K’s in‑house retail media and data monetization engine - built to accelerate customer acquisition, increase traffic, and drive incremental sales for both brands and our business. We are creating a unified, global retail media platform that brings together in‑store screens, offsite media activation, and privacy first data products - all powered by rich first‑party insights.

Audience Strategy & Activation
  • Define, own, and evolve a standardized audience of taxonomy across the enterprise to ensure consistency in segmentation, activation, and reporting.
  • Build and scale high‑value customer audiences using first‑party data, behavioral signals, and predictive modeling.
  • Ensure seamless audience activation across digital, in‑store, and offsite media ecosystems.
Measurement & Attribution
  • Design and ope rationalise robust measurement frameworks that connect media exposure to business outcomes (e.g., sales lift, basket size, frequency).
  • Establish measurement activation pipelines to support both onsite and offsite media channels, ensuring consistent tracking and attribution across the ecosystem.
  • Implement multi‑touch attribution and closed‑loop measurement using transaction‑level data.
  • Standardise reporting methodologies to provide advertisers with consistent, transparent insights.
Incrementality & Experimentation
  • Lead incrementality testing (A/B, geo‑lift, holdout groups) to quantify true campaign impact.
  • Establish test‑and‑learn frameworks that optimise audience strategies and media performance.
Performance Insights & Feedback Loops
  • Develop audience performance feedback loops that continuously inform and refine audience definitions, targeting strategies, and budget allocation.
  • Deliver actionable insights to advertisers and internal stakeholders, linking campaign performance to customer behaviour.
  • Build intuitive dashboards and self‑serve analytics tools for campaign visibility.
Key Responsibilities Roadmap & Strategy
  • Team Leader:
    Lead a team of motivated Data Product Specialists
  • Partner closely with the Group Product Manager to define and execute the data product vision, roadmap, and backlog
  • Collaborate cross‑functionally 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, and scalable self‑service analytics and data products.
  • Own delivery of key data components across the retail media platform, spanning in‑store media, offsite media integrations, campaign tooling, measurement, and data monetisation – working closely with other Product Managers to deliver a cohesive, end‑to‑end RMN experience.
Data Integration & Engineering Coordination
  • Partner with Ad Operations to validate correct implementation of ad tags, inventory configuration, and event level tracking in advanced Ad serving environments
  • Coordinate with Data Engineering to import data from enterprise DSP (Demand Side Platforms) used for programmatic media buying, and ad‑serving and yield‑management platforms used for publisher operations
Governance & Insight Enablement
  • Own and maintain the data catalog and lineage documentation to improve data discoverability, trust, and self‑service adoption across teams.
  • Liaise with Product Performance Analytics to deliver certified datasets on time for monthly leadership dashboards and ad‑hoc reporting.
  • Drive data‑product adoption: create enablement guides, run demos, maintain FAQs, collect feedback, and support change communications.
Skills…
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