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 OverviewAudience 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 ResponsibilitiesRoadmap & 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.
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