Product Manager
Target · Posted Nov 4
General merchandise, apparel, grocery, and home goods retail services
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About the role
Target's Household product line defines households as the real-world units that shop together and turns that foundation into trusted, reusable data products and decision-ready applications. The role spans household definitions and taxonomy, certified datasets, pipelines, quality and governance, and applications used by Media, Promotions, Merchandising and Loyalty teams. The Product Manager will partner with Data Engineering, Analytics, Data Science and Identity across a medallion architecture to build and govern household data products and translate technical capability into business outcomes.
What you will do
- You will help build and own the household foundation layer that every downstream use case depends on: stable, certified household datasets built on the enterprise household identity (owned by the Identity team), with consistent definitions that business partners can trust and reuse.
- Household lifecycle definitions and formats — acquisition, retention, reactivation and new-to-category — agreed with Analytics and Finance and published as certified data products.
- Household attributes and taxonomy — life stage, composition, demographics, interests and purchase behaviour, including third-party enrichment — with clear ownership, lineage and refresh cadence.
- Household-level enterprise KPIs such as household-based conversion, taken from definition through UAT, sign-off and production.
- You will help turn the foundation into applications that change decisions across the enterprise, delivering against a roadmap shaped with your manager and business partners:
- Media — map household cohorts to the campaigns they were exposed to, starting with diagnostics and extending to Roundel (retail media) audiences and measurement.
- Promotions — connect households to promotion performance so promo teams can see who a promotion actually reached and moved.
- Merchandising — household views of newness-led acquisition and assortment relevancy by life stage.
- Enterprise growth — an acquisition and reactivation waterfall across drivers (marketing including Roundel, promotions, brand marketing, newness and assortment, new stores), plus who the acquired households are.
- Strong working knowledge of analytics and data concepts, with the ability to partner effectively with Analytics and Data Science teams. You should be comfortable with:
- Household and guest-level analytics, cohorts and segmentation
- Entity resolution and identity concepts (guest-to-household mapping, match rates, stability)
- Data aggregation and dimensional modelling
- Data quality, reconciliation and metric definitions in a semantic layer
- Privacy, consent and responsible use of guest and household data
- You work hand-in-hand with Data Engineering to turn requirements into real datasets and pipelines — translating business needs into clear specs and data contracts, prioritising the backlog, and making trade-off calls with DE on design, cost and sequencing.
- Solid understanding of our data platform and cloud environment (GCP, BigQuery, Power BI). You make household data easy to discover, access and consume — through the certified gold layer, documented data products and self-serve paths for analysts and downstream platforms.
- Data governance and data quality are central to this role, not an afterthought. Household data drives audience targeting, measurement and executive reporting, so an unstable household ID or a wrong definition ripples across every team that uses it. You own certification, quality monitoring, access and consent controls for the household product line.
- You will work with partners across Marketing, Roundel, Loyalty, Promotions and Merchandising to gather requirements, clarify competing asks, and communicate progress, trade-offs and impact clearly to stakeholders and leadership.
Skills used in this role
What the employer is looking for
- 3–5 years in product management (or 5+ years in closely related data, analytics or engineering roles with product exposure), with experience on customer or household data products, CDP / customer 360, identity, data platforms, or AdTech/MarTech and retail media.
- Strong understanding of customer and household analytics — lifecycle (acquisition, retention, reactivation), segmentation, cohorts and life-stage modelling.
- Familiarity with identity resolution and householding concepts, and with how household data powers audiences, measurement and personalisation.
- Hands-on experience working closely with Data Engineering to build datasets and pipelines — writing specs, shaping schemas and contracts, and prioritising 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, privacy and consent — treated as critical, not optional.
- Experience translating technical capability into measurable business outcomes and working effectively with cross-functional partners without direct authority.
- Strong product management practices and excellent communication with Data Engineering, Analysts, Data Scientists and business stakeholders.
Preferred qualifications
- exposure to marketing measurement (attribution, MTA, MMM), promotions or merchandising analytics, or third-party data enrichment.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Target
Target Corporation operates an extensive chain of general merchandise and discount retail department stores across the United States. The company provides a broad assortment of owned and national brand products, including apparel, electronics, beauty items, groceries, and home goods. Through its physical stores and digital platforms, Target focuses on delivering style, design, and value to help consumers discover the joy of everyday life.
- Industry
- Retail
- Company size
- 415000+ employees
- Founded
- 1902
- Location
- Minneapolis, Minnesota, USA
- Funding stage
- Public Company
Leadership
Chief Executive Officer
Executive Chair of the Board
Jim Lee
Executive Vice President and Chief Financial Officer
Prat Vemana
Executive Vice President and Chief Information and Product Officer
Mark Weinstein
Executive Vice President and Chief Marketing and Guest Experience Officer
Recent coverage
Home Page News
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AP News
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