Sr Product Manager - Media Measurements

About the role

Measurement and analytics ownership

• Lead data products that enable marketing measurement and attribution across channels, campaigns, audiences, and customer journeys.
• Build and scale capabilities connecting marketing exposure and spend to business outcomes.
• Support initial measurement work for Roundel and Target marketing spend, with potential expansion to loyalty, promotions, and other enterprise investments.
• Use measurement products to help stakeholders understand what worked, why it worked, and where to invest next.

Data engineering and platform

• Work with Data Engineering to build and evolve datasets and pipelines across Bronze, Silver, and Gold architecture layers.
• Translate business requirements into specifications, prioritize the backlog, and make design and sequencing trade-offs.
• Shape schemas and contracts and support modern data platforms, including lakehouse, data mesh, or federated architectures.
• Steward the data platform ecosystem, including lineage and cost considerations.

Analytics and data fluency

• Demonstrated knowledge of customer-level and aggregated analytics.
• Understanding of data aggregation, dimensional modeling, pipelines, transformations, data quality, reconciliation, metric definitions, and semantic layers.
• Solid understanding of Google Cloud Platform, BigQuery, and Power BI.

Experience and qualifications

• 10+ years of product management experience with meaningful experience in measurement, data products, data platforms, AdTech, MarTech, or retail media.
• Proven understanding of attribution, multi-touch attribution, and marketing mix modeling.
• Hands-on experience working with Data Engineering to build datasets and pipelines, shape schemas and contracts, and prioritize technical backlogs.
• Strong understanding of medallion architecture and modern data platforms.
• Strong grasp of data governance and data quality, including certification, monitoring, access, and consent.
• Track record of translating technical capability into measurable business outcomes and influencing cross-functional partners without direct authority.
• Strong product management practices and experience working with Data Engineering, Analysts, and stakeholders.

Workplace

• The provided description does not specify a remote, hybrid, onsite, or field workplace arrangement.