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Manager, Data Governance

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Gap Inc.
Full Time position
Listed on 2026-06-20
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

About Gap Inc.

At Gap Inc., we create culture as much as we create clothes. Our ambition is to become a high-performing house of iconic American brands that shape culture.

Our portfolio—Old Navy, Gap, Banana Republic, and Athleta—each brings a distinct point of view to how we show up in the world and serve our customers. Old Navy democratizes style with quality and value for all. Gap champions originality through essential pieces that celebrate individuality. Banana Republic is rooted in a spirit of discovery, creating modern pieces inspired by craftsmanship and travel.

Athleta champions the Power of She through confidence, strength, and movement.

We’re driven by a shared purpose: to bridge gaps—between people, perspectives, and possibilities—to create a better world. We’re building a team that performs at a high level—people who think boldly, take ownership, and turn ideas into impact. If you’re ready to learn fast and help shape what’s next, you’ll fit right in.

About

The Role

We are seeking a high-impact techno‑functional Data Governance Manager to lead the charge and operationalize our DG‑driven Enterprise strategy initiatives—harmonizing technical ingenuity with retail business depth—to shape data standards, drive performance, and unlock value across the organization. This role blends deep, hands‑on technical skills in AI/ML, Python, DQ and data visualization with a business‑first mindset across the Merchandising Product Lifecycle, Financial Forecast Planning, Omnichannel Commerce and Enterprise Reporting that encompasses core critical data assets (CDEs) across business domains that span finance, product, customer, inventory, and supply chain business unit operations.

You will serve as a strategic catalyst to unify data governance objectives with engineering solutions—building frameworks that scale, rules that matter, DQ governance dashboards that tell the story and shape our global retail decisions. You will blend technical mastery in AI/ML, Python, and data visualization with a strong understanding of business function operations along the end‑to‑end Product Lifecycle, Finance, and Omnichannel Reporting.

You will ensure that our data quality standards do not only meet rigorous technical benchmarks but are anchored in business relevance across Product Lifecycle, Finance, eCommerce, Store Operations, and Inventory Management. You will be instrumental in embedding DQ controls from data acquisition to consumption to deliver clear, actionable insights across business units promoting data accuracy, trust, reliability, and DQ interoperability across the Enterprise.

What

you'll do
  • Lead the design, integration, and execution of our Data strategy rooted in Enterprise DG principles and Data Management capabilities (e.g., DG policy, business/technical metadata CDEs, data lineage, data integration, and interoperability).
  • Partner with DG teams to translate business requirement rules into technical specifications for solutioning AI‑powered automation, validation, anomaly detection, continuous monitoring, and remediation integrating DQ with Service Now, Enterprise DQ dashboards, and DG Catalog Platform Tools.
  • Architect and deploy AI/ML models to automate end‑to‑end DQ checks (technical/operational and business rules) across retail business domain functions: finance, inventory, pricing, promotions, assortment, vendor transaction records working with best‑in‑class DQ and DG Tooling.
  • Develop Python‑based scripts and metadata enrichment pipelines integrated with governance tooling (data catalog, DQ dashboards, quality scoring systems).
  • Operationalize DQ rule sets tied to critical domains including Retail Product Lifecycle Management, Financial Planning & Analysis, Customer Journeys, and Omnichannel Commerce.
  • Deliver visually rich and actionable insights through Power BI/Tableau dashboards tailored to executive, merchandising, and finance teams.
  • Facilitate collaboration between DG stewards, domain SMEs, and technology teams to ensure consistent interpretation and enforcement of DQ rules & policies.
  • Monitor KPIs that measure DQ impact on business processes and forecast accuracy.
Who you are
  • A strategic thinker who…
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