ABOUT GAP INC.

Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials.
This simple idea—that we all deserve to belong, and on our own terms—is core to who we are as a company and how we make decisions. Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet. Ready to learn fast, create with audacity and lead boldly? Join our team.

ABOUT THE ROLE

We are seeking a high-impact techno-functional Data Quality (DQ) Manager to lead the charge and operationalize our DG-driven Enterprise DQ 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 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 Quality strategy rooted in Enterprise DG principles and Data Management capabilities (e.g. dg policy, business/technical metadata CDEs, data lineage, data integration &, interoperability).
• Partner with DG teams to translate business requirement rules into technical specifications for solutioning AI-powered automation, validation, anomaly detection, continuous monitoring & remediation integrating DQ with ServiceNow, Enterprise DQ dashboards and DG Catalog Platform Tools.
• Architect and deploy AI/ML models to automate end-to-end DQ checks (e.g., 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 (e.g., 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.