Data Modeler

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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

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 .

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.

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.

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.

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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