Senior Ontology Data Modeler

Tata Consultancy Services; West Des Moines (IA); On-site; USD 90,000 - 110,000; Full time

Job summary

Tata Consultancy Services in the United States seeks a Senior Ontology Data Modeler to design and maintain enterprise ontologies, semantic data models, and knowledge graphs across business domains, with emphasis on insurance. You will translate business needs into scalable semantic solutions, partnering with business stakeholders to ensure alignment with governance and architecture.

The role requires 5+ years in data modeling and ontology work, hands-on experience with RDF/OWL, SQL, and cloud

Qualifications

• 5+ years in Data Modeling, Data Architecture, and Ontology/Semantic Modeling.

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 existing business logic from reports, dashboards, and ETL/stored procedures; capture tacit knowledge through structured sessions with business SMEs.
• Apply a hybrid modeling approach (bottom-up from source schemas, top-down from business concepts), including refining and validating AI-assisted ontology candidates.
• Map ontology concepts to physical data sources and validate model outputs against source-of-truth systems and existing reports.
• Treat ontology development like application delivery - versioning, testing, and controlled promotion through DEV QA STAGE PROD, with artifacts managed in Git.
• Collaborate with Data Architects, Data Engineers, and business SMEs; support consuming teams across BI, analytics, and AI/agent workflows.
• Support data governance, metadata management, data lineage, and data quality initiatives.
• Ensure alignment with enterprise architecture, industry standards, and data governance best practices.

Skills

Data Modeling

Ontology/Semantic Modeling

RDF/RDFS/OWL

SQL

Cloud Platforms (AWS)

Insurance Domain

Stakeholder Management

Knowledge Graphs

Business Requirements translation

Analytical Skills

Tools

Timbr

Neo4j

Amazon Neptune

Stardog

Collibra

Alation

Tableau/Power BI

ERwin

Git

Job description

Job Description

Senior Ontology Data Modeler

Must Have Technical/Functional Skills

• 5+ years in Data Modeling, Data Architecture, and Ontology/Semantic Modeling
• Strong experience in conceptual, logical, and physical data modeling
• Hands-on experience with ontology and semantic modeling using RDF, RDFS, OWL, or related semantic technologies, including knowledge-graph design
• Proficiency with SQL and experience modeling on modern cloud data platforms (AWS; familiarity with object storage and open table formats such as S3/Apache Iceberg is a plus)
• Insurance domain experience (Annuity preferred)
• Experience translating business requirements into scalable data and semantic solutions, working directly with business stakeholders
• Strong analytical, communication, and stakeholder-management skills - able to bridge business and technical teams

Preferred Qualifications

• Hands-on experience with an ontology-based semantic-layer platform (e.g., Timbr) and/or graph databases such as Amazon Neptune, Stardog, or Neo4j
• Familiarity with data governance/metadata platforms such as Collibra, Alation, or Microsoft Purview
• Experience harvesting semantics from existing BI assets (Tableau, Power BI, Business Objects) and ETL pipelines
• Exposure to AI/GenAI, GraphRAG, semantic search, or enterprise knowledge-graph and agentic-AI initiatives
• Familiarity with traditional data-modeling tools (ERwin, ER/Studio, PowerDesigner)

Roles & 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 existing business logic from reports, dashboards, and ETL/stored procedures; capture tacit knowledge through structured sessions with business SMEs
• Apply a hybrid modeling approach (bottom-up from source schemas, top-down from business concepts), including refining and validating AI-assisted ontology candidates
• Map ontology concepts to physical data sources and validate model outputs against source-of-truth systems and existing reports
• Treat ontology development like application delivery - versioning, testing, and controlled promotion through DEV QA STAGE PROD, with artifacts managed in Git
• Collaborate with Data Architects, Data Engineers, and business SMEs; support consuming teams across BI, analytics, and AI/agent workflows
• Support data governance, metadata management, data lineage, a nd data quality initiatives
• Ensure alignment with enterprise architecture, industry standards, and data governance best practices

Salary Range- $90,000-$110,000 a year