Knowledge Architect

🔥 7 minutes ago

🏈 Ohio – Remote

🏈 Ohio – Remote

💵 $96k - $181k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 Artificial Intelligence

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KeyBank

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1994

🏦 Banking

💸 Finance

💳 Fintech

Banking • Finance • Fintech

KeyBank is a full-service bank offering a wide range of financial services for individuals, small businesses, and large institutions. Services include personal and business banking, wealth management, loans, credit lines, mortgages, credit cards, and investment services. KeyBank also provides online and mobile banking tools to help customers manage their finances efficiently. With a focus on financial wellness, KeyBank offers resources to help customers understand banking basics, manage debts, and achieve their financial goals.

📋 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.