Senior Data Analyst - P&C Ontologies & Knowledge Graphs

ValueMomentum; New Jersey; On-site; USD 110,000 - 170,000; Full time

Job summary

ValueMomentum is seeking an experienced Data Analyst to design and maintain enterprise ontologies, taxonomies, and semantic models for property & casualty insurance. The role will help unify policy, claims, underwriting, broker, customer, and financial data to empower AI, knowledge graphs, and data products.

The candidate will collaborate with business SMEs, data architects, and AI teams to standardize definitions, develop glossaries, and ensure governance and version control across ontology

Qualifications

• 8+ years in data management, data architecture, or knowledge management.
• Strong understanding of P&C insurance domains (claims, policy, underwriting, broker, customer).
• 3+ years of experience with knowledge graphs and semantic technologies.
• Familiarity with RDF, OWL, SKOS, SPARQL (preferred).

Responsibilities

• Design and maintain enterprise ontologies for P&C insurance business domains.
• Develop business taxonomies, controlled vocabularies, and semantic models.
• Build and manage Knowledge Graphs representing relationships across business entities.
• Define canonical business models aligned with enterprise standards.
• Collaborate with business SMEs, data architects, and AI teams to standardize business definitions.
• Create semantic mappings across multiple source systems.
• Support AI use cases including RAG, Enterprise Search, and Agentic AI.
• Develop business glossaries and metadata standards.
• Ensure consistency, governance, and version control of ontology assets.
• Work closely with Data Governance and Data Product teams.

Skills

Data Management

Data Architecture

Knowledge Management

Tools

Collibra

Purview

Unity Catalog

OpenMetadata

Job description

ValueMomentum is seeking an experienced Data Analyst to design and maintain enterprise ontologies, taxonomies, and semantic models for property & casualty insurance. The role will help unify policy, claims, underwriting, broker, customer, and financial data to empower AI, knowledge graphs, and data products.

The candidate will collaborate with business SMEs, data architects, and AI teams to standardize definitions, develop glossaries, and ensure governance and version control across ontology