Knowledge Architect

Job Description:

• Lead the development and maintenance of the enterprise data domain model, taxonomy, and ontologies
• Design and evolve information and semantic models that make enterprise data AI‑ready
• Operationalize data models, taxonomies, and semantic structures through the Enterprise Data Catalog (Alation)
• Define and enforce standards for data modeling, taxonomy, nomenclature, and semantic structures
• Provide authoritative guidance on semantic conflicts
• Contribute to the enterprise data product framework by defining domain boundaries, shared dimensions, and semantic contracts
• Confirm and document prioritized metadata elements for key business processes, analytical use cases, and AI‑enabled workflows
• Identify simplification opportunities—reduce redundancy, converge overlapping datasets, and promote canonical sources
• Partner with analytics, data science, and AI engineering teams to ensure information architecture is sufficient for AI outcomes
• Serve as a thought partner to shape governance strategy and roadmaps.

Requirements:

• 10+ years of experience working with data, metadata, and reference data frameworks
• Experience leading the development of enterprise business glossaries, domain models, and ontologies
• Demonstrated experience with data management concepts including data governance, data quality, master data management, data lineage, and metadata management
• Proven ability to establish and operationalize metadata governance functions, including policies, standards, roles, and controls
• Hands on experience implementing and scaling an Enterprise Data Catalog or metadata repository (Alation or equivalent)
• Understanding of how semantic models, metadata, and knowledge representation enable applied AI and LLM use cases
• Strong business acumen in relating data to business process drivers and performance management
• Collaborative, team focused delivery experience that drives outcomes across enterprise data, analytics, and technology organizations
• Strategic thinker with the ability to translate enterprise objectives into actionable plans and measurable outcomes
• Excellent knowledge of data and metadata management principles, business analysis, and process engineering.

Benefits:

• Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.