We are hiring a Sr. Data Product Manager to own a portfolio of Target Media data products end-to-end — from business definitions and contracts through datasets, pipelines, quality, governance, and delivery.
This is a hands-on role that works closely with Data Engineering, Analytics and Media Partners. You will partner with DE day-to-day to build and evolve datasets and pipelines across a medallion (Bronze/Silver/Gold) architecture, shape schemas and contracts, and make sure the data products that result are trusted and well-governed. The core job is to translate technical capability into business outcomes. You will sit at the intersection of Roundel product, Data Engineering, MediaOps, and the broader Media Data Consumers.
What you’ll ownWe are looking for a Sr. Product Manager — Measurement & Analytics to lead the strategy, development, and evolution of data products that enable marketing measurement and attribution across Target Media.
Measurement – Must Have
This role sits at the intersection of Product, Marketing Measurement, Analytics and Data Engineering. You will own products that help the organization understand the impact of marketing investments across channels, campaigns, audiences, and customer journeys.
The initial focus will be on Roundel and Target marketing spend, with the opportunity to expand measurement capabilities across loyalty, promotions, and other enterprise marketing investments.
A core responsibility will be building and scaling attribution and measurement capabilities that connect marketing exposure and spend to business outcomes, enabling stakeholders to understand what worked, why it worked, and where to invest next.
Analytics & Data Fluency — Must HaveStrong working knowledge of analytics and data concepts, with the ability to partner effectively with Analytics teams. You should be comfortable with:
- Customer-level and aggregated analytics
- Data aggregation and dimensional modelling
- Data pipelines and data transformations
- Data quality and reconciliation
- Metric definitions and semantic layers
You work hand-in-hand with Data Engineering to turn requirements into real datasets and pipelines — translating business needs into clear specs, prioritizing the backlog, and making trade-off calls with DE on design and sequencing.
Platform & ecosystem stewardshipSolid understand of Data Platform, cloud environment of GCP/BQ/PowerBITrust, governance & data quality — criticalData governance and data quality are central to this role, not an afterthought. As operational systems and automated workflows act on Roundel data, the cost of a stale or wrong data product rises sharply.
What you’ll bring- 10+ years in product management, with meaningful time across Measurement, data products, data platforms, AdTech/MarTech, or retail media.
- Proven understanding Marketing Measurement concepts of Attribution, MTA, MMM, etc.
- Hands-on experience working closely with Data Engineering to build datasets and pipelines — writing specs, shaping schemas and contracts, and prioritizing a technical backlog.
- Solid understanding of medallion architecture (Bronze/Silver/Gold) and modern data platforms (Lakehouse, data mesh, or federated architectures), including lineage and cost.
- Strong grasp of data governance and data quality — certification, monitoring, access, and consent — treated as critical, not optional.
- Track record of translating technical capability into measurable business outcomes and influencing cross-functional partners without direct authority.
- Strong understand if PM Practices and working with Data Engineering, Analysts and Stakeholders.
Skills Required
- 6+ years in Product Management, with meaningful time on data products, data platforms, AdTech/MarTech, or retail media
- Hands-on experience working closely with Data Engineering to build datasets and pipelines, writing specs and shaping schemas/contracts
- Solid understanding of medallion architecture (Bronze/Silver/Gold) and modern data platforms (Lakehouse, data mesh, federated architectures)
- Strong grasp of data governance and data quality, including certification, monitoring, access, and consent
- Working literacy in business definitions and semantics; ability to define and reconcile metric/entity meanings across domains
- Understanding of how ML systems and AI agents consume data and how that shapes data product design
- Track record of translating technical capability into measurable business outcomes and influencing cross-functional partners
- Design SLAs for freshness, availability, and quality; own governance controls, audit trails, and documentation
- Experience governing catalogues, lineage, and cost across data products
- Direct experience in retail media, advertising, or martech
- Experience defining or operating certified/governed dataset programs
- Familiarity with semantic layers, metric-definition tooling, or designing data products for agent and RAG consumption
Target Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Target and has not been reviewed or approved by Target.
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Healthcare Strength — Health benefits are accessible to hourly team members at relatively low hour thresholds and include no‑cost, 24/7 virtual medical care and expanded mental‑health support. This breadth is positioned as a relative strength compared to typical retail offerings.
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Retirement Support — Retirement programs include a dollar‑for‑dollar 401(k) match with immediate vesting and options like Roth 401(k) and stock purchase. These features strengthen long‑term savings for a wide range of roles.
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Parental & Family Support — Family support includes paid family leave, backup care, and reimbursements for adoption and surrogacy. These resources complement paid time off and holidays for eligible team members.
Target Insights
What We Do
Target is an American retailing company providing access to a wide selection of products such as furniture, electronics, toys, and more. Target is one of the world’s most recognized brands and one of America’s leading retailers. We make Target our guests’ preferred shopping destination by offering outstanding value, inspiration, innovation and an exceptional guest experience that no other retailer can deliver. Target is committed to responsible corporate citizenship, ethical business practices, environmental stewardship and generous community support. Since 1946, we have given 5 percent of our profits back to our communities. Our goal is to work as one team to fulfill our unique brand promise to our guests, wherever and whenever they choose to shop.
