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Knowledge Architect

Artificial IntelligenceArtificial IntelligenceFull TimeRemoteLeadTeam 10,001+Since 1994H1B SponsorCompany SiteLinkedIn

Location

Ohio

Posted

4 days ago

Salary

$96K - $181K / year

Seniority

Lead

Bachelor Degree10 yrs expEnglish

Job Description

Knowledge Architect

KeyBank

• 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.

Job 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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