Knowledge Architect

June 25, 2026

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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.

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