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.
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Define, own, and evolve a standardized audience of taxonomy across the enterprise to ensure consistency in segmentation, activation, and reporting.
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Build and scale high-value customer audiences using first-party data, behavioral signals, and predictive modeling.
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Ensure seamless audience activation across digital, in-store, and offsite media ecosystems.
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Design and operationalize robust measurement frameworks that connect media exposure to business outcomes (e.g., sales lift, basket size, frequency).
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Establish measurement activation pipelines to support both onsite and offsite media channels, ensuring consistent tracking and attribution across the ecosystem.
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Implement multi-touch attribution and closed-loop measurement using transaction-level data.
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Standardize reporting methodologies to provide advertisers with consistent, transparent insights.
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Lead incrementality testing (A/B, geo-lift, holdout groups) to quantify true campaign impact.
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Establish test-and-learn frameworks that optimize audience strategies and media performance.
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Develop audience performance feedback loops that continuously inform and refine audience definitions, targeting strategies, and budget allocation.
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Deliver actionable insights to advertisers and internal stakeholders, linking campaign performance to customer behavior.
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Build intuitive dashboards and self-serve analytics tools for campaign visibility.
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Team Leader: Lead a team of motivated Data Product Specialists
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Partner closely with the Group Product Manager to define and execute the data product vision, roadmap, and backlog
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Collaborate cross functionally with Retail Media Sales, Ad Operations, Store Operations, Legal, and Privacy teams
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Translate business and advertiser needs into data solutions, including metric definitions, data models, and scalable self-service analytics and data products.
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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.
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Partner with Ad Operations to validate correct implementation of ad tags, inventory configuration, and event level tracking in advanced Ad serving environments
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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
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Own and maintain the data catalog and lineage documentation to improve data discoverability, trust, and self‑service adoption across teams.
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Liaise with Product Performance Analytics to deliver certified datasets on time for monthly leadership dashboards and ad-hoc reporting.
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Drive data-product adoption: create enablement guides, run demos, maintain FAQs, collect feedback, and support change communications.
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Strong team leader with the ability to balance strategic thinking and pragmatic execution, while remaining responsive to evolving business needs
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Excellent communicator in English, able to translate complex concepts for technical and non-technical stakeholders.
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Customer-obsessed problem solver who collaborates across geographies and levels.
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Curious lifelong learner with a passion for retail, loyalty programs, and emerging analytics techniques.
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Advanced degree in Engineering, Data Science, or related analytical field.
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7+ years of experience across one or more areas: data engineering, data analytics, or data architecture.
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Experience with enterprise Demand Side Platforms used for programmatic media buying, including campaign setup, optimization, and reporting (Google Display & Video 360)
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Good understanding of advanced ad‑serving and yield‑management platforms used for publisher operations (such as such as Google Ad Manager 360)
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Strong hands-on experience with SQL, analytical and visualization tools (e.g., Power BI), and cloud data warehouses such as Snowflake.
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