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Knowledge Architect
Location
Ohio
Posted
29 days ago
Salary
$96K - $181K / year
Seniority
Lead
Job Description
Knowledge Architect
KeyBank
• Lead the development and maintenance of the enterprise data domain model, taxonomy, and ontologies to ensure shared understanding, semantic consistency, and discoverability of data and knowledge assets. • Design and evolve information and semantic models that make enterprise data AI-ready, supporting use cases ranging from traditional analytics and BI to applied machine learning and LLM-based experiences (e.g., search, retrieval-augmented generation, and copilots). • 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 to ensure consistency and interoperability across business domains and downstream consumption patterns. • Provide authoritative guidance on semantic conflicts—resolve definition discrepancies, harmonize terms, and mediate cross-domain dependencies to establish trusted, reusable business meaning. • Contribute to the enterprise data product framework by defining domain boundaries, shared dimensions, and semantic contracts that enable cross-domain interoperability and AI consumption. • Confirm and document prioritized metadata elements for key business processes, analytical use cases, and AI-enabled workflows, ensuring alignment with governance standards and risk expectations. • Identify simplification opportunities—reduce redundancy, converge overlapping datasets, and promote canonical sources to improve trust, efficiency, and reusability across analytics and AI platforms. • Partner with analytics, data science, and AI engineering teams to ensure information architecture, metadata, and semantic context are sufficient to support explainable, governed, and trustworthy AI outcomes. • Serve as a thought partner, provide insights from modeling, catalog adoption, and AI enablement to shape governance strategy and roadmaps.
Job Requirements
- 10+ years of experience working with data, metadata, and reference data frameworks, including experience in metadata management and/or data quality monitoring
- Experience leading the development of enterprise business glossaries, domain models, and ontologies to enable semantic consistency, shared understanding, and AI ready data usage.
- 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.
- Demonstrated verbal and written communication skills, with strong data, metadata, and governance storytelling that drives adoption and influences stakeholders.
- Hands on experience implementing and scaling an Enterprise Data Catalog or metadata repository (Alation or equivalent), including curation workflows and adoption strategies.
- Understanding of how semantic models, metadata, and knowledge representation enable applied AI and LLM use cases, such as search, question answering, and decision support.
- Strong business acumen in relating data to business process drivers and performance management, with a value delivery mindset.
- 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
- please click here for a list of benefits for which this position is eligible
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