Data Product Manager, Retail Media

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.

vRole Overview

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 operationalize 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.
• Standardize 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 optimize 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 behavior.
• 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 monetization - 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 Required

• Strong team leader with the ability to balance strategic thinking and pragmatic execution, while remaining responsive to evolving business needs
• Excellent communicator in English, able to translate complex concepts for technical and non-technical stakeholders.
• Customer-obsessed problem solver who collaborates across geographies and levels.
• Curious lifelong learner with a passion for retail, loyalty programs, and emerging analytics techniques.

Qualifications & Experience

• Advanced degree in Engineering, Data Science, or related analytical field.
• 7+ years of experience across one or more areas: data engineering, data analytics, or data architecture.
• Experience with enterprise Demand Side Platforms used for programmatic media buying, including campaign setup, optimization, and reporting (Google Display & Video 360)
• Good understanding of advanced ad-serving and yield-management platforms used for publisher operations (such as such as Google Ad Manager 360)

• Strong hands-on experience with SQL, analytical and visualization tools (e.g., Power BI), and cloud data warehouses such as Snowflake.

Circle K is an Equal Opportunity Employer. The Company complies with the Americans with Disabilities Act (the ADA) and all state and local disability laws. Applicants with disabilities may be entitled to a reasonable accommodation under the terms of the ADA and certain state or local laws as long as it does not impose an undue hardship on the Company. Please inform the Company’s Human Resources Representative if you need assistance completing any forms or to otherwise participate in the application process.

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