Data Modeler

Veriipro; West Des Moines (IA); On-site; USD 100,000 - 150,000; Full time

Job summary

Veriipro is seeking an experienced Data Modeler specializing in ontology and semantic data modeling to design enterprise knowledge graphs for complex insurance data domains.

The role focuses on developing conceptual, logical, and physical data models, implementing semantic solutions, and collaborating with architects and engineering teams to translate requirements into scalable data models.

Qualifications

• Experience in designing conceptual, logical, and physical data models.
• Proven ability to develop enterprise ontologies and semantic data models.
• Experience building knowledge graphs for enterprise data domains.

Responsibilities

• Develop conceptual, logical, and physical data models for enterprise platforms.
• Design and maintain ontologies, semantic data models, knowledge graphs, taxonomies, and vocabularies.
• Define entities, relationships, hierarchies, and semantic rules across domains.

Skills

ACORD standards

Ontology & semantic modeling

Graph databases

RDF/OWL/SPARQL

Data governance & metadata

AI/GenAI & semantic search

Snowflake / Databricks / Cloud

Enterprise knowledge graphs

Insurance data domain

Education

Bachelor’s degree or equivalent

Tools

Timbr

TopBraid

PoolParty

Stardog

Neo4j

Amazon Neptune

Collibra

Alation

Purview

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 Skills

• Strong 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 Responsibilities

• 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 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 Skills

• Enterprise Ontology Design
• Semantic Data Modeling
• Knowledge Graph Architecture
• Insurance Data Architecture
• ACORD Standards
• RDF / OWL / SPARQL
• Graph Databases (Neo4j, Stardog, Amazon Neptune)
• Data Governance & Metadata Management
• Snowflake / Databricks
• Cloud Platforms (AWS / Azure)