Data Product Manager, Retail Media

Circle K Stores Inc.; Charlotte (NC); Sur place; USD 110 000 - 150 000; Plein temps

Résumé du poste

Circle K Stores Inc. is seeking a seasoned data product leader to drive our Audience Strategy & Activation initiatives. You will craft standardized audiences, enable analytics, and tie media activity to business outcomes across in-store and offsite channels.

You will collaborate with cross-functional teams, own the data product roadmap, and ensure scalable self‑service analytics with dashboards and data catalogs, using DV360, GAM 360, Snowflake, and Power BI.

Qualifications

• Advanced degree in Engineering, Data Science, or related analytical field.
• 7+ years of experience across data engineering, data analytics, or data architecture.
• Experience with enterprise DSPs for programmatic media buying (DV360).
• Knowledge of ad-serving and yield-management platforms (GAM/Ad Manager 360).
• Strong SQL, analytics and visualization skills (Power BI) and data warehouses (Snowflake).

Responsabilités

• Lead a data product team to define vision, roadmap, and backlog.
• Collaborate with Retail Media Sales, Ad Ops, Store Ops, Legal, and Privacy teams.
• Own delivery of data components across the retail media platform for in-store and offsite.
• Coordinate with Ad Ops and Data Engineering to validate tag implementations and data imports.
• Support adoption with enablement guides, demos, FAQs and change communications.

Connaissances

Audience strategy

Team leadership

English communication

Data product experience

Analytical thinking

Formation

Advanced degree in Engineering, Data Science, or related analytical field

Outils

Google DV360

Google Ad Manager 360

Snowflake

Power BI

SQL

Description du poste

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, off‑site 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.

#LI-PG1

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.

Our mission at Circle K is to make people's lives a little easier every day. Our global family of 150,000 people in over 17,300 stores and 27 countries makes that possible for our millions of clients worldwide, which is why we are committed to helping them achieve their goals and grow with us. We set ourselves apart by our culture and values: in our people and their development, in serving others, what we've built and what we are striving to achieve. No matter where you come from or where you are heading in your career, there is a place for you to grow at Circle K. When you grow, we grow - together.