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# Senior Ontology Data Modeler

- **Company:** Henderson Scott
- **Location:** Windsor Heights, IA, United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Architecture, Data Governance, Database Queries, Graph Database, Metadata, Neo4j, Resource Description Framework (RDF), Search Technologies, Collibra, Data Management, Graph RAG, Software Version Control
- **Published:** October 9, 2026
- **Apply:** https://www.disabledperson.com/jobs/75919910-senior-ontology-data-modeler

## About the Role

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

## 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