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
More Information
Application Details
- Organization DetailsTCS / Tata Consultancy Services
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