AI-Ready Context Engineer/ Ontologist

KeyCorp
United States
Workplace: RemoteFull timeUSD 96,000 - 181,000 annuallyFunction: Data Science & Machine LearningExperience: 10+ yearsSkills: ["Communication","Stakeholder storytelling","Collaboration","Strategic thinking","Value delivery"]

Design and maintain KeyBank’s enterprise information architecture for AI-ready data and knowledge usage. Own enterprise data domain models, taxonomy, and ontologies, operationalizing them through data catalogs like Alation to support governed discovery and trusted analytics. Partner with analytics, data science, and AI engineering teams to resolve semantic conflicts, define metadata and semantic contracts, and enable AI/LLM use cases such as search, RAG, and copilots.

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FursaFursa
KeyCorp
KeyCorp
3 days ago

AI-Ready Context Engineer/ Ontologist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Design and maintain KeyBank’s enterprise information architecture for AI-ready data and knowledge usage. Own enterprise data domain models, taxonomy, and ontologies, operationalizing them through data catalogs like Alation to support governed discovery and trusted analytics. Partner with analytics, data science, and AI engineering teams to resolve semantic conflicts, define metadata and semantic contracts, and enable AI/LLM use cases such as search, RAG, and copilots.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Lead development and maintenance of enterprise data domain models, taxonomy, and ontologies to improve shared understanding and discoverability.
  • •Design and evolve information and semantic models to make enterprise data AI-ready for BI, machine learning, and LLM use cases (e.g., search and RAG).
  • •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 for consistency and interoperability.
  • •Resolve semantic conflicts and provide authoritative guidance to harmonize terms and mediate cross-domain dependencies.

Pay and Benefits

Salary: USD 96,000 - 181,000 annually

Key Requirements

  • •10+ years working with data, metadata, and reference data frameworks, including metadata management and/or data quality monitoring.
  • •Experience leading the development of enterprise business glossaries, domain models, and ontologies for semantic consistency and AI-ready data usage.
  • •Demonstrated knowledge of data governance concepts including data quality, master data management, data lineage, and metadata management.
  • •Ability to establish and operationalize metadata governance functions (policies, standards, roles, and controls).
  • •Hands-on experience implementing and scaling an enterprise data catalog/metadata repository such as Alation, including curation workflows and adoption strategies.
Experience:10+ yearsData governanceMetadata managementKnowledge graphsAI/MLLLMData catalog
Skills:CommunicationStakeholder storytellingCollaborationStrategic thinkingValue delivery
Tech Stack:Neo4jStardogAmazon NeptuneAzure Cosmos DBOWLRDFSKOSProtégéTopBraidStardog StudioAlationCollibraMicrosoft PurviewDataHubPineconeWeaviateAzure AI Search

Company Brief

KeyCorp
KeyCorp operates KeyBank, providing retail and commercial banking, lending, wealth management, and investment services to individuals, businesses, and institutions across the United States.
Industry: Banking
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Cleveland, United States
Founded: 1849
Glassdoor
Glassdoor: 3.6
WebsiteLinkedIn