Product Manager

Overview

Own a portfolio of household 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 for decisions.

What you'll do

• Help build and own the household foundation layer: stable, certified household datasets built on the enterprise household identity owned by the Identity team, with consistent definitions business partners can trust and reuse.
• Define and publish household lifecycle definitions and formats (acquisition, retention, reactivation and new-to-category), agreed with Analytics and Finance, as certified data products.
• Own household attributes and taxonomy (life stage, composition, demographics, interests and purchase behaviour, including third-party enrichment) with clear ownership, lineage and refresh cadence.
• Take household-level enterprise KPIs such as household-based conversion from definition through UAT, sign-off and production.
• Help turn the foundation into applications against a roadmap shaped with your manager and business partners: Media (map household cohorts to exposed campaigns, starting with diagnostics and extending to Roundel retail media audiences and measurement); Promotions (connect households to promotion performance); Merchandising (household views of newness-led acquisition and assortment relevancy by life stage); Enterprise growth (acquisition and reactivation waterfall across drivers, plus who the acquired households are).
• Work hand-in-hand with Data Engineering across a medallion (Bronze/Silver/Gold) architecture: translate requirements into specs and data contracts, shape schemas, prioritise the backlog, and make trade-off calls on design, cost and sequencing.
• Own certification, quality monitoring, access and consent controls for the household product line.
• Make household data easy to discover, access and consume through the certified gold layer, documented data products and self-serve paths.
• Gather requirements, clarify competing asks, and communicate progress, trade-offs and impact to stakeholders and leadership across Marketing, Roundel, Loyalty, Promotions and Merchandising.

What you'll need

• 3–5 years in product management, or 5+ years in closely related data, analytics or engineering roles with product exposure.
• Experience with 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.
• Experience translating technical capability into measurable business outcomes and working with cross-functional partners without direct authority.
• Strong product management practices and excellent communication with Data Engineering, Analysts, Data Scientists and business stakeholders.
• Working knowledge of analytics and data concepts, including household and guest-level analytics, entity resolution (guest-to-household mapping, match rates, stability), data aggregation and dimensional modelling, data quality and reconciliation, metric definitions in a semantic layer, and privacy, consent and responsible use of guest and household data.
• Solid understanding of GCP, BigQuery and Power BI.

Nice to have

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

Details

• Location: L4, Manyata Embassy Business Park, Racenahali & Nagawara Villages, Outer Ring Rd, Bangalore 540065.