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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining structured business contexts for AI agents, with a strong focus on process mapping, decision frameworks, and governance. Proven ability to partner across business functions to translate complex processes into reusable systems and ensure context readiness.
Highest-signal resume keywords
End-To-End Business Process UnderstandingProcess Mapping and Decision FrameworksAI Agents and Context EngineeringStrong Facilitation and Interviewing SkillsGovernance and Knowledge Architecture
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Process MappingDecision FrameworksContext EngineeringSystems ThinkingRequirements DocumentationEvaluation ScenariosBusiness RulesTrade-Off AnalysisContext GovernanceLifecycle Management
Soft Skills
Strong Facilitation SkillsExcellent Written CommunicationCredibility Among StakeholdersConflict ResolutionAbility to Challenge Respectfully
Tools & Technologies
Product Lifecycle Management (PLM) SystemsKnowledge Architecture ToolsData Evaluation ToolsAI Agent TechnologiesLarge Language Models (LLMs)
Industry Keywords
Retail Industry ExperienceApparel Industry ExperienceSourcingProduct DevelopmentTaxonomy
About the role
Key responsibilities & impact- Build and maintain the structured business context enabling high-performing AI agents within a defined enterprise domain
- Work directly with Business teams and key Technology partners to document how the business works
- Convert expert knowledge, including tacit judgment, decision logic, and exceptions, into governed, reusable context
- Own the quality, completeness, and readiness of domain context for AI agents
- Partner with the Director of Agentic Pipeline Management to meet stage-gate standards
- Capture tacit knowledge, decision logic, business rules, trade-offs, and exceptions through structured interviews, workshops, and observation
- Create process maps, decision frameworks, business rules, examples, and edge cases as structured, reusable context
- Build and maintain a domain business context library and knowledge architecture
- Establish context governance and lifecycle management, including ownership, approvals, versioning, review cadences, and retirement of outdated or conflicting context
- Partner with Product Management, Data Science, and Engineering to turn business context into agent requirements and evaluation scenarios
- Use evaluation results and production feedback to improve the underlying context
- Resolve conflicting expert input and flag context-readiness risks early
Requirements
What you’ll need- Business operator with a demonstrated understanding of end-to-end business processes in the relevant domain (design, product development, sourcing)
- Proven ability to decompose complex processes and expert decision-making and document them clearly as process maps, requirements, or decision frameworks
- Strong systems thinking
- Strong facilitation and interviewing skills
- Credibility among Designers, Technical Designers, Product Development, and Sourcing partners
- Ability to challenge respectfully and resolve conflicting input
- Working familiarity with AI agents, LLMs, context engineering, retrieval, and evaluation
- Proven partnership across Business, Product Management, Data Science, and Engineering
- Ability to create structure, standards, and reusable systems in ambiguity
- Excellent written communication
- Plus: retail or apparel industry experience
- Plus: experience with sourcing and product development systems (e.g., PLM) and data
- Plus: experience with governance, taxonomy, or knowledge architecture