Data Modeler

Job Description We are seeking an experienced Data Modeler with strong expertise in ontology modeling, semantic data modeling, enterprise knowledge graphs, and insurance data domains. The ideal candidate will have experience designing conceptual, logical, and physical data models, developing enterprise ontologies, and implementing semantic solutions using modern graph database and metadata management platforms. Required Technical SkillsStrong knowledge of ACORD insurance data standards.Experience with ontology and semantic modeling platforms such as Timbr, TopBraid, PoolParty, or Stardog.Hands-on experience with graph databases including Neo4j, Stardog, or Amazon Neptune.Experience with RDF, OWL, SPARQL, and enterprise knowledge graph concepts.Familiarity with data governance and metadata management platforms such as Collibra, Alation, or Microsoft Purview.Experience with AI/GenAI, semantic search, and enterprise knowledge graph initiatives.Knowledge of modern data platforms such as Snowflake, Databricks, AWS, or Azure.Roles and ResponsibilitiesDevelop conceptual, logical, and physical data models for enterprise data platforms.Design and maintain enterprise ontologies, semantic data models, knowledge graphs, taxonomies, and business vocabularies.Define business entities, relationships, hierarchies, and semantic rules across enterprise data domains.Collaborate with business stakeholders, data architects, and engineering teams to translate requirements into scalable semantic and data solutions.Develop data models for insurance domains including Policy, Claims, Underwriting, Customer, Product, Billing, and Producer/Agency.Support data governance, metadata management, data lineage, and data quality initiatives.Ensure data models align with enterprise architecture standards, industry best practices, and governance frameworks.Contribute to AI-driven data initiatives, including semantic search and knowledge graph implementations.Preferred SkillsEnterprise Ontology DesignSemantic Data ModelingKnowledge Graph ArchitectureInsurance Data ArchitectureACORD StandardsRDF / OWL / SPARQLGraph Databases (Neo4j, Stardog, Amazon Neptune)Data Governance & Metadata ManagementSnowflake / DatabricksCloud Platforms (AWS / Azure) We are seeking an experienced Data Modeler with strong expertise in ontology modeling, semantic data modeling, enterprise knowledge graphs, and insurance data domains. The ideal candidate will have experience designing conceptual, logical, and physical data models, developing enterprise ontologies, and implementing semantic solutions using modern graph database and metadata management platforms.Required Technical SkillsStrong knowledge of ACORD insurance data standards.Experience with ontology and semantic modeling platforms such as Timbr, TopBraid, PoolParty, or Stardog.Hands-on experience with graph databases including Neo4j, Stardog, or Amazon Neptune.Experience with RDF, OWL, SPARQL, and enterprise knowledge graph concepts.Familiarity with data governance and metadata management platforms such as Collibra, Alation, or Microsoft Purview.Experience with AI/GenAI, semantic search, and enterprise knowledge graph initiatives.Knowledge of modern data platforms such as Snowflake, Databricks, AWS, or Azure. Roles and ResponsibilitiesDevelop conceptual, logical, and physical data models for enterprise data platforms.Design and maintain enterprise ontologies, semantic data models, knowledge graphs, taxonomies, and business vocabularies.Define business entities, relationships, hierarchies, and semantic rules across enterprise data domains.Collaborate with business stakeholders, data architects, and engineering teams to translate requirements into scalable semantic and data solutions.Develop data models for insurance domains including Policy, Claims, Underwriting, Customer, Product, Billing, and Producer/Agency.Support data governance, metadata management, data lineage, and data quality initiatives.Ensure data models align with enterprise architecture standards, industry best practices, and governance frameworks.Contribute to AI-driven data initiatives, including semantic search and knowledge graph implementations. Preferred SkillsEnterprise Ontology DesignSemantic Data ModelingKnowledge Graph ArchitectureInsurance Data ArchitectureACORD StandardsRDF / OWL / SPARQLGraph Databases (Neo4j, Stardog, Amazon Neptune)Data Governance & Metadata ManagementSnowflake / DatabricksCloud Platforms (AWS / Azure)