Job Opportunities API

This role is eligible to be based out of any of the following office locations: Charlotte, NC; Raleigh, NC; Minnetonka, MN; Jacksonville, FL; Tampa, FL; or Lisle, IL. 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. LI-PG1 Circle K ist ein Arbeitgeber, der Chancengleichheit fördert. 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