Product Manager

About the role

What you'll do

• We are hiring a Product Manager — Household Data Products to own a portfolio of data products within Target's Household product line: from household definitions and taxonomy, through certified datasets, pipelines, quality and governance, to the applications that Media, Promotions, Merchandising and Loyalty teams use to make decisions.
• Household is how Target understands its guests as the real-world units that shop together. This role takes the household foundation and turns it into trusted, reusable data products and decision-ready applications — answering questions like which households we acquired, retained or reactivated, what drove it, and how we should market, promote and assort for them.
• This is a hands-on role that works closely with Data Engineering, Analytics, Data Science, Identity and business partners. You will partner with DE day-to-day across a medallion (Bronze/Silver/Gold) architecture, shape schemas and data contracts, and make sure household data products are trusted, well-governed and adopted. The core job is to translate technical capability into business outcomes.
• What you’ll own
• Household Foundations – Must Have
• 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.
• Household Applications – Must Have
• 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.

What you'll bring

• 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.
• Nice to have: exposure to marketing measurement (attribution, MTA, MMM), promotions or merchandising analytics, or third-party data enrichment.
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