Data Modeler - Ontology
Core
Design, model, and maintain insurance domain ontologies using OWL/RDF to build conceptual and logical semantic models for entities like policies, coverages, and claims, translating business domain models into formal structures that power AI, LLMs, and enterprise knowledge systems.
Role type
Senior IC Ontology / Knowledge Graph Engineer
Builds
Production-grade knowledge graphs and semantic indexes for enterprise data
Domain
Insurance industry + Semantic Web / Knowledge Graphs
Deliverable
production ML models
Required skills
OWL, RDF, RDFS, SKOS, SPARQL, SHACL, Domain modeling, Knowledge graph architecture, Source system mapping, Azure cloud integration, Insurance domain expertise (policy structures, risk modeling, claims lifecycle), Semantic technology stacks (Stardog, GraphDB, Neo4j, TopQuadrant, AllegroGraph)
Preferred skills
LLM-integrated semantic pipelines, RAG indexing, Metadata grounding, Azure OpenAI, ACORD standards
Technologies
Azure Data Lake, Azure Storage, Azure Purview, Microsoft Fabric Catalog, Azure Cognitive Search, Azure Kubernetes Services, Azure Functions, Azure OpenAI, Stardog, GraphDB, Neo4j, TopQuadrant, AllegroGraph
Responsibilities
Design and maintain insurance domain ontologies; Build conceptual and logical semantic models for insurance entities; Design and extend production-grade knowledge graphs; Map source system schemas to ontology entities; Deploy and operationalize ontology components on Azure cloud; Collaborate with SMEs and governance teams to document and version semantic models
Seniority
Senior, hands-on IC