Data Modeler - Ontology

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Job Description

About the Role

We are looking for a hands-on Ontology / Knowledge Graph Engineer who understands not just graph databases, but the true semantic foundations behind enterprise knowledge graphs. This role requires experience in building domain ontologies , modeling conceptual semantics, and connecting those models to enterprise data sources.

This is not a Cypher-only graph querying role.
This is a role for someone who has worked with OWL/RDF , domain modeling, and semantic standards—and can translate complex insurance concepts into a formal ontology that powers AI, LLMs, data governance, and enterprise knowledge systems.

Key Responsibilities

1. Ontology Design & Semantic Modeling

- Design, model, and maintain insurance domain ontologies using OWL/RDF.
- Build conceptual and logical semantic models for entities such as: Policies, Coverages, Perils, Claims, Loss Events, Parties, Risk Objects, Brokers/Agents.

- Define canonical data definitions, taxonomies, hierarchical relationships, and semantic constraints.
- Translate business domain models and regulatory structures into formal semantic structures .

2. Knowledge Graph Architecture

- Design and extend production-grade knowledge graphs derived from ontologies.
- Make design decisions on: How the ontology becomes the semantic index for enterprise data.
- How graph nodes point back to source systems through schema mapping.
- How the KG will be used in RAG, LLM context grounding, or reasoning pipelines.

- Implement ontology-driven schemas using RDF stores or labeled-property graph stores.

3. Source System Mapping

- Parse schemas from policy admin, claims, CRM, billing, and underwriting systems.
- Map source fields to ontology entities using: Schema parsing
- Semantic mapping
- Transformation rules

- Ensure semantic alignment and consistency across diverse insurance systems.

4. Azure Cloud Integration

- Deploy and operationalize ontology and KG components using: Azure Data Lake / Storage
- Azure Purview / Microsoft Fabric Catalog
- Azure Cognitive Search (for semantic indexing)
- Azure Kubernetes Services / Azure Functions (for KG pipelines)
- Azure OpenAI (for semantic enrichment, RAG, and reasoning)

- Integrate KG metadata into Azure metadata and lineage systems.

5. Collaboration & Governance

- Work closely with: Underwriting SMEs
- Claims SMEs
- Data governance teams
- Data engineering teams
- AI/ML product teams

- Document semantic models, maintain change logs, and drive ontology versioning.

Required Skills (Non-Negotiable)

- Hands-on experience in ontology development , not just graph querying.
- Strong knowledge of: OWL, RDF, RDFS, SKOS
- SPARQL , SHACL (preferred)

- Experience designing conceptual and logical domain models .
- Demonstrated ability to build a knowledge graph from scratch , not just use one.
- Strong insurance domain understanding: Policy structures
- Exposure / risk modeling fundamentals
- Claims life cycle
- Product hierarchies
- Regulatory constraints

- Ability to map enterprise source schemas to semantic models.
- Experience with at least one semantic technology stack: Stardog, GraphDB, Neo4j (with RDF frameworks), TopQuadrant, AllegroGraph, etc.

Nice-to-Have Skills

- Experience building LLM-integrated semantic pipelines: Context engineering
- RAG indexing
- Metadata grounding

- Familiarity with Azure OpenAI or similar LLM orchestration frameworks.
- Understanding of industry data standards such as ACORD .

Soft Skills

- Strong analytical and conceptual modeling skills.
- Ability to challenge assumptions and define canonical definitions.
- Ability to communicate with business SMEs and translate domain knowledge into ontology structures.
- Structured documentation and versioning discipline.

Why This Role Matters

This role is foundational to:

- Enterprise LLM adoption
- Semantic search
- Knowledge-driven underwriting & claims workflows
- Data governance
- AI safety & consistency
- Eliminating redundant and fragmented data definitions across systems

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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