Data Product Manager, Retail Media

- 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.

- 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

- 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.

- 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.

- 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.