Enterprise Context Architect

📋 Description

• Define source-of-truth strategy for enterprise knowledge; determine authoritative systems, indexing
• Set enterprise standards for AI-ready content across structure, metadata, provenance, and access
• Design control model for AI actions with eligibility rules, preconditions, approvals, escalations
• Lead platform and connector strategy across content stack; collaborate with IT and Engineering on
• Build federated operating model for enterprise content with domain accountability and lifecycle
• Define content quality in AI context; establish retrieval, grounding, and policy conformance for

🎯 Requirements

• 7+ years designing information structures at enterprise scale, with at least 2 years applying to AI
• Experience preparing content for AI consumption; fluency in retrieval-augmented generation
• Hands-on with knowledge graphs, ontologies, or semantic models to structure content for machine
• Track record building federated operating models with metadata standards or authoring frameworks at
• Influence senior stakeholders across Engineering, IT, Legal, Security, and business functions.
• Sound judgment balancing central standards with domain expertise.

🎁 Benefits

• Awareness: understand yourself and others; continuous learning through change.
• Judgment: evaluate information and decisions in complex situations.
• Adaptability: learn, adjust, and stay effective through change.
• Connection: communicate clearly, collaborate, and build trust.