Senior Ontology Data Modeler

Henderson Scott
Windsor Heights, IA, United States
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$120,000.0 - $160,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Architecture Data Governance Database Queries Graph Database Metadata Neo4j Resource Description Framework (RDF) Search Technologies Collibra Data Management Graph RAG
+1 more
Software Version Control

Job description

We’re looking for a Senior Ontology Data Modeler to design and maintain enterprise ontologies, semantic data models and knowledge graphs within a large insurance environment., * Design and maintain enterprise ontologies, semantic models and knowledge graphs

  • Define business entities, relationships, hierarchies and semantic rules
  • Develop conceptual, logical and physical data models
  • Translate business requirements and existing data logic into scalable semantic solutions
  • Map ontology concepts to physical data sources and validate model outputs
  • Manage ontology artifacts through version control, testing and controlled deployment
  • Support data governance, metadata, lineage and data quality initiatives

Requirements

Experience needed: Strong experience across data modelling, data architecture and ontology or semantic modelling. You should have hands-on knowledge of RDF, RDFS or OWL, knowledge graphs and conceptual, logical and physical data models., * Strong experience in data modelling, data architecture and semantic modelling

  • Hands-on knowledge of RDF, RDFS, OWL or related semantic technologies
  • Experience designing ontologies and enterprise knowledge graphs
  • Strong SQL skills and experience with modern cloud data platforms
  • Experience within insurance, ideally annuities, would be highly beneficial
  • Experience with Timbr, Amazon Neptune, Stardog, Neo4j or a similar platform
  • Familiarity with Collibra, Alation, Microsoft Purview or other governance tools
  • Exposure to AI, GraphRAG, semantic search or agentic AI initiatives would be advantageous

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