Manager P2M Transformation - Agentic Enablement (Data Domain Owner)

Job description

About the Role Gap Inc. has embarked on an enterprise-wide Product to Market (P2M) Transformation — IndigoX — to reimagine our product engine operating model, strengthen end-to-end capabilities, and accelerate speed, creativity, and resilience across all brands. Trusted data is foundational to that ambition. To support it, Gap Inc. is building a federated data governance program for the Product Journey — spanning Design & Develop, Sourcing, Merchandising, Merchandising Planning & Inventory Optimization (MPIO), Supply Chain, and Product Enablement across Gap, Old Navy, Banana Republic, and Athleta. The Data Domain Owner (DDO) is the single accountable owner for P2M data across all four brands — setting and enforcing the standards, definitions, and quality expectations that make product data trustworthy end to end. This is a business leadership role, not a technical one. The DDO does not build pipelines or configure tools; they set direction, make the final call on cross-brand data decisions, hold value stream leads accountable for quality outcomes, and represent P2M data interests at the SteerCo level. The role requires deep product-to-market domain expertise, the authority and judgment to resolve definition disputes that span brands, and the executive presence to chair a governance council and carry its decisions into the business. This individual will report into the Senior Director, P2M Transformation. What You'll Do Own the end-to-end data strategy for the P2M domain across all brands and value streams — setting direction on which data must be trusted, by when, and to what standard. Act as the final decision-maker on cross-brand data conflicts, definition disputes, and escalations — resolving disagreements before they harden into four competing versions of the same standard. Chair the monthly P2M Data Governance Council — setting the agenda, driving decisions to closure, and documenting outcomes so they hold after the meeting ends. Co-chair the P2M SteerCo alongside key stakeholders — escalating strategic and high-risk issues to the right executive forum with a clear recommendation, not just a status update. Enforce data governance policies, standards, and definitions for P2M — approving common frameworks and ensuring they are applied consistently across Gap, Old Navy, Banana Republic, and Athleta. Prioritize the governance backlog — sequencing domain issues by business impact and ensuring they are resolved within agreed timelines. Hold BDS Leads and brand data stewards accountable for data quality outcomes within their value streams — operating the quality framework set by the Enterprise Data Governance team, and reviewing and approving quality and escalation reporting. Sponsor the data certification program across all six P2M value streams — ensuring data assets are certified, documented, and trusted by the teams who depend on them. Approve business glossary terms, definitions, and hierarchies published in Atlan — overseeing the onboarding of business metadata in partnership with the EDG Specialist. Partner with Brand Enablement Leads to align brand-level data priorities with enterprise governance — and coordinate with adjacent IndigoX pillars where data decisions affect their delivery timelines. Champion an AI-native approach to data governance — applying generative AI and intelligent tooling to accelerate stewardship, documentation, and quality monitoring, and to explore new models for how governance work gets done. Connect governance progress to business value — framing data trust in terms of the decisions it unlocks and the risk it removes, in language that resonates with leadership and finance stakeholders. Who You Are Established experience in a senior business or operations leadership role with a retail, product, or supply chain background — you've carried accountability for business outcomes, not just process. Deep knowledge of the product-to-market lifecycle across at least two of the six value streams (Design & Develop, Sourcing, Merchandising, MPIO, Supply Chain, Product Enablement) — enough to know which data actually drives decisions and which is noise. Demonstrated experience making data-related decisions that affect multiple business units or brands simultaneously — and making those decisions stick. A track record of driving alignment in complex, matrixed organizations where priorities compete and no single leader has authority over everyone in the room. Executive presence — comfortable chairing VP and C-suite level governance forums, and able to give senior leaders a clear point of view under scrutiny. Working knowledge of data quality, metadata, and data governance concepts at a business level — deep technical knowledge is not required, but you need to be credible with the teams who have it. Experience in a multi-brand or multi-division retail environment, where the same term can mean four different things and someone has to decide which one is right. A native AI mindset — you actively look for ways to embed AI into how governance and stewardship work gets done, not just as a productivity tool but as a new way of operating. Comfortable operating with ambiguity — able to make decisions with incomplete information, prioritize across competing demands, and revisit calls as better information arrives. Nice to have: familiarity with data governance frameworks such as DAMA-DMBOK; hands-on exposure to a data catalogue or metadata tool (Atlan, Alation, Collibra, or similar); experience supporting a large-scale data migration or transformation program; and familiarity with cloud data platforms, particularly GCP.