Data Modeler
Job in
West Des Moines, Polk County, Iowa, 50265, USA
Listed on 2026-08-03
Listing for:
Q1 Technologies, Inc.
Full Time
position Listed on 2026-08-03
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing, Information & Knowledge Management
Job Description & How to Apply Below
Generic Managerial Skills, If any
- Knowledge of ACORD insurance standards.
- Experience with ontology and semantic modeling platforms such as Tim , Top Braid, Pool Party, or Stardog.
- Experience with graph databases such as Neo4j, Stardog, or Amazon Neptune.
- Familiarity with data governance and metadata platforms such as Collibra, Alation, or Microsoft Purview.
- Exposure to AI/GenAI, semantic search, or enterprise knowledge graph initiatives.
Ontology Data Modeler, Semantic Data Modeler, Data Modeler, Knowledge Graph, Enterprise Ontology, Semantic Modeling, Insurance Data Architect, RDF, OWL, SPARQL, ACORD, Neo4j, Stardog, Amazon Neptune, Snowflake, Databricks, AWS, Azure.
- Develop 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 and technical stakeholders to translate business requirements into scalable data and semantic solutions.
- Model insurance domains including Policy, Claims, Underwriting, Customer, Product, Billing, and Producer/Agency.
- Support data governance, metadata management, data lineage, and data quality initiatives.
- Ensure alignment with enterprise architecture, industry standards, and data governance best practices.
- Develop 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 and technical stakeholders to translate business requirements into scalable data and semantic solutions.
- Model insurance domains including Policy, Claims, Underwriting, Customer, Product, Billing, and Producer/Agency.
- Support data governance, metadata management, data lineage, and data quality initiatives.
- Ensure alignment with enterprise architecture, industry standards, and data governance best practices.
Ensure alignment with enterprise architecture, industry standards, and data governance best practices.
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