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Gap Inc.
Gap Inc.
LoģistikaMazumtirdzniecībaMode
Gap Inc. ir globāls modes un mazumtirdzniecības uzņēmums, kura zīmolu portfelī ietilpst Old Navy, Gap, Banana Republic un Athleta. Uzņēmuma darbība aptver apģērbu, aksesuārus, mazumtirdzniecības operācijas un loģistiku, kas nodrošina plaša starptautiska zīmolu portfeļa darbību. Uzņēmums apvieno patērētājiem orientētu modi ar iniciatīvām, kas pievēršas iekļaušanai, vienlīdzībai, iespējām un klimata jautājumiem, tādēļ tā darbība ir nozīmīga mazumtirdzniecības, modes, loģistikas un korporatīvo funkciju profesionāļiem.
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Vakances uzņēmumā

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.

USAmerikas Savienotās ValstisCAKalifornijaNYŅujorkaKlātienēPilna slodzeVadošais speciālistsNepieciešamā Valoda: angļuDirektors

Apraksts

  • 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  • Manage context governance and its lifecycle, including ownership, approvals, versioning, reviews, and retirement of outdated or conflicting material.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.

Prasības

  • 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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