Data Product Manager, Retail Media

Circle K

. Define, own, and evolve standardized audience taxonomy across the enterprise .

Posted 10/6/2026full-timeUnited StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in audience taxonomy development, data-driven audience building, and measurement frameworks that connect media exposure to business outcomes. Proficient in leading teams, optimizing media performance, and delivering actionable insights through advanced analytics and visualization tools.

Highest-signal resume keywords

Audience Taxonomy DevelopmentData AnalyticsSQLGoogle Display & Video 360Power BI

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData ArchitecturePredictive ModelingMulti-Touch AttributionClosed-Loop MeasurementA/B TestingGeo-Lift TestingSelf-Service AnalyticsData Catalog ManagementData Monetization

Soft Skills

Team LeadershipExcellent Communication

Tools & Technologies

Google Ad Manager 360SnowflakeEnterprise DSPAnalytics ToolsVisualization Tools

Industry Keywords

RetailLoyalty ProgramsEmerging Analytics Techniques

Tech Stack

Tools & technologies

CloudSQL

About the role

Key responsibilities & impact

Define, own, and evolve standardized audience taxonomy across the enterprise
Build and scale customer audiences using first-party data, behavioral signals, and predictive modeling
Ensure audience activation across digital, in-store, and offsite media ecosystems
Design measurement frameworks connecting media exposure to business outcomes
Establish measurement activation pipelines for onsite and offsite media channels
Implement multi-touch attribution and closed-loop measurement using transaction-level data
Standardize reporting methodologies for advertisers
Lead incrementality testing, including A/B, geo-lift, and holdout-group testing
Establish test-and-learn frameworks to optimize audience strategies and media performance
Develop audience performance feedback loops
Deliver actionable insights to advertisers and internal stakeholders
Build dashboards and self-service analytics tools
Lead a team of Data Product Specialists
Partner with the Group Product Manager on data product vision, roadmap, and backlog
Collaborate with Retail Media Sales, Ad Operations, Store Operations, Legal, and Privacy teams
Translate business and advertiser needs into data solutions, metric definitions, data models, and scalable self-service analytics and data products
Own delivery of data components across in-store media, offsite media integrations, campaign tooling, measurement, and data monetization
Validate ad tags, inventory configuration, and event-level tracking with Ad Operations
Coordinate enterprise DSP data imports and ad-serving and yield-management platform integrations with Data Engineering
Maintain data catalog and lineage documentation
Deliver certified datasets for monthly leadership dashboards and ad-hoc reporting
Drive data-product adoption through enablement guides, demos, FAQs, feedback collection, and change communications

Requirements

What you’ll need

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, including Google Display & Video 360
Good understanding of advanced ad-serving and yield-management platforms used for publisher operations, such as Google Ad Manager 360
Strong hands-on experience with SQL
Experience with analytical and visualization tools, such as Power BI
Experience with cloud data warehouses such as Snowflake
Strong team leadership ability
Excellent communication skills in English
Ability to translate complex concepts for technical and non-technical stakeholders
Knowledge or passion for retail, loyalty programs, and emerging analytics techniques

Benefits

Comp & perks

Equal Opportunity Employer
Reasonable accommodation for applicants with disabilities under the ADA and applicable state or local laws