About the RoleThe 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.
