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Gap Inc.
Gap Inc.
FashionLogisticsRetail
Gap Inc. is a global fashion and retail company whose portfolio includes Old Navy, Gap, Banana Republic, and Athleta. Its business spans apparel, accessories, retail operations, and the logistics that support a large international brand portfolio. The company combines consumer-focused fashion with initiatives addressing inclusion, equity, opportunity, and climate, making its work relevant to professionals across retail, fashion, logistics, and corporate functions.
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Director, Domain Context Management at Gap Inc.

Lead the development of governed business knowledge that helps AI agents work across a defined enterprise domain. Translate expert processes and decisions into structured context in partnership with business and technology teams.

USUnited StatesCACaliforniaNYNew YorkOn-siteFull-timeLeadEnglish RequiredDirector

Description

  • Develop structured business context for AI agents across an enterprise domain.
  • Document business processes with business teams and technology partners.
  • Turn expert judgment, decision logic, and exceptions into governed, reusable context.
  • Own the quality, completeness, and readiness of domain context for AI agents.
  • Work with the Director of Agentic Pipeline Management to meet stage-gate standards.
  • Gather tacit knowledge, business rules, trade-offs, and exceptions through interviews, workshops, and observation.
  • Create reusable context through process maps, decision frameworks, business rules, examples, and edge cases.
  • Maintain the domain’s business context library and knowledge architecture.
  • Manage context governance and its lifecycle, including ownership, approvals, versioning, reviews, and retirement of outdated or conflicting material.
  • Partner with Product Management, Data Science, and Engineering to define agent requirements and evaluation scenarios from business context.
  • Improve context using evaluation results and production feedback.
  • Reconcile conflicting expert input and surface context-readiness risks early.

Requirements

  • Understand end-to-end business processes in a relevant domain such as design, product development, or sourcing, with demonstrated business operator experience.
  • Show the ability to break down complex processes and expert decisions and document them clearly in process maps, requirements, or decision frameworks.
  • Bring strong systems thinking.
  • Have strong facilitation and interviewing skills.
  • Establish credibility with Designers, Technical Designers, Product Development, and Sourcing partners.
  • Challenge respectfully and resolve conflicting input.
  • Have working familiarity with AI agents, large language models, context engineering, retrieval, and evaluation.
  • Demonstrate effective partnership across Business, Product Management, Data Science, and Engineering.
  • Create structure, standards, and reusable systems in ambiguous environments.
  • Communicate clearly in writing.
  • Retail or apparel industry experience is a plus.
  • Experience with sourcing and product development systems, such as PLM, and related data is a plus.
  • Experience with governance, taxonomy, or knowledge architecture is a plus.

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