Senior Ontology Data Modeler

Veriipro; West Des Moines (IA); On-site; USD 110,000 - 170,000; Full time

Job summary

Veriipro seeks a Senior Ontology Data Modeler to design and govern enterprise ontologies, semantic data models, and knowledge graphs across data domains. You will translate business requirements into scalable semantic solutions while collaborating with SMEs, data architects, and BI teams in a cloud environment.

You will model insurance domains such as Policy, Claims, Underwriting, and Customer, leveraging SQL and modern semantic technologies to support analytics, AI, and data governance

Qualifications

• 5+ years of data modeling, data architecture, and ontology/semantic modeling.
• Strong experience with conceptual, logical, and physical data modeling.
• Hands-on with RDF, RDFS, OWL and semantic technologies.
• Experience designing and developing Knowledge Graphs.
• Strong SQL skills and experience with AWS and cloud data platforms.
• Experience with S3 and familiarity with Apache Iceberg is a plus.
• Insurance domain experience, preferably Annuity.
• Ability to translate business requirements into scalable data and semantic solutions.
• Strong stakeholder management and communication skills.

Responsibilities

• Design, build, and maintain enterprise ontologies, semantic data models, knowledge graphs, taxonomies, and business vocabularies.
• Define business entities, relationships, hierarchies, metrics, and semantic rules across enterprise data domains.
• Model insurance domains including Policy, Claims, Underwriting, Customer, Product, Sales, and Producer/Agency.
• Harvest business logic from reports, dashboards, ETL processes, and stored procedures.
• Work with business SMEs to capture and formalize business knowledge.
• Apply both bottom-up and top-down modeling approaches.
• Refine, validate, and improve AI-assisted ontology candidates.
• Map ontology concepts to physical data sources and validate results against source-of-truth systems.
• Implement ontology development using versioning, testing, and controlled promotion across DEV QA STAGE PROD.
• Manage ontology and semantic-model artifacts using Git.
• Collaborate with Data Architects, Data Engineers, BI teams, AI teams, and business SMEs.
• Support BI, analytics, AI, and agent-based workflows consuming semantic models.
• Support data governance, metadata management, data lineage, and data quality initiatives.
• Ensure semantic solutions align with enterprise architecture, industry standards, and data governance best practices.

Skills

Data Modeling

Data Architecture

Ontology & Semantic Modeling

SQL

Knowledge Graphs

AWS / Cloud Platforms

Insurance Domain Experience

Business Vocabulary / Ontology Design

Stakeholder Communication

Semantic Technologies (RDF/RDFS/OWL)

Tools

Git

Neo4j

Amazon Neptune

Stardog

Collibra

Alation

Purview

ERwin

ER/Studio

PowerDesigner

Job description

We are seeking a Senior Ontology Data Modeler with 5+ years of experience in data modeling, data architecture, ontology modeling, and semantic modeling. The ideal candidate will have hands-on experience designing enterprise ontologies, semantic data models, knowledge graphs, and business vocabularies, with strong SQL and cloud data platform experience.

Must-Have Technical Skills

• 5+ years of experience in Data Modeling, Data Architecture, and Ontology/Semantic Modeling.
• Strong experience with Conceptual, Logical, and Physical Data Modeling.
• Hands-on experience with RDF, RDFS, OWL, and semantic technologies.
• Experience designing and developing Knowledge Graphs.
• Strong SQL skills.
• Experience with AWS and cloud data platforms.
• Experience with Amazon S3 and familiarity with Apache Iceberg is a plus.
• Insurance domain experience, preferably Annuity.
• Experience translating business requirements into scalable data and semantic solutions.
• Strong stakeholder management and communication skills.

Preferred Technical Skills

• Timbr or other ontology-based semantic-layer platforms.
• Graph databases such as Amazon Neptune, Stardog, or Neo4j.
• Data governance and metadata platforms such as Collibra, Alation, or Microsoft Purview.
• Tableau, Power BI, or Business Objects.
• ETL pipelines and stored procedures.
• AI/GenAI, GraphRAG, Semantic Search, Knowledge Graphs, or Agentic AI.
• Traditional data modeling tools such as ERwin, ER/Studio, or PowerDesigner.
• Git and version-controlled development workflows.

Key Responsibilities

• Design, build, and maintain enterprise ontologies, semantic data models, knowledge graphs, taxonomies, and business vocabularies.
• Define business entities, relationships, hierarchies, metrics, and semantic rules across enterprise data domains.
• Model insurance domains including Policy, Claims, Underwriting, Customer, Product, Sales, and Producer/Agency.
• Harvest business logic from reports, dashboards, ETL processes, and stored procedures.
• Work with business SMEs to capture and formalize business knowledge.
• Apply both bottom-up and top-down modeling approaches.
• Refine, validate, and improve AI-assisted ontology candidates.
• Map ontology concepts to physical data sources and validate results against source-of-truth systems.
• Implement ontology development using versioning, testing, and controlled promotion across DEV QA STAGE PROD.
• Manage ontology and semantic-model artifacts using Git.
• Collaborate with Data Architects, Data Engineers, BI teams, AI teams, and business SMEs.
• Support BI, analytics, AI, and agent-based workflows consuming semantic models.
• Support data governance, metadata management, data lineage, and data quality initiatives.
• Ensure semantic solutions align with enterprise architecture, industry standards, and data governance best practices.