Senior Data Modeler / Ontology Specialist

Experience: 8+ Years
Location: Hyderabad
Work Mode: Work From Office (WFO)
Employment Type: Full-Time / Contract
Domain: US Property & Casualty (P&C;) Insurance

Job Summary

We are looking for an experienced Senior Data Modeler / Ontology Specialist with 8+ years of experience and strong expertise in US Property & Casualty (P&C;) Insurance, particularly in Claims and/or Underwriting.

The ideal candidate will have strong hands-on experience in Conceptual, Logical, and Physical Data Modeling, along with experience in Ontology, Semantic Modeling, Taxonomy, Knowledge Graphs, and Business Glossaries.

This is primarily a Data Modeling + Ontology/Semantic Modeling role and is not a Data Engineering-focused position.

Key Responsibilities

- Design and maintain Conceptual, Logical, and Physical Data Models.
- Develop enterprise-level data models, semantic models, ontologies, and taxonomies.
- Define business entities, attributes, relationships, hierarchies, and standardized terminology.
- Translate complex insurance business requirements into reusable data and semantic models.
- Model key US P&C; insurance entities including:
- Policy
- Claim
- Coverage
- Insured / Customer
- Risk
- Exposure
- Premium
- Loss
- Underwriting
- Develop models supporting Claims Management and Underwriting processes.
- Create semantic mappings between business concepts and enterprise data structures.
- Support metadata management, data governance, data lineage, and business glossary initiatives.
- Identify and resolve inconsistencies in data definitions, terminology, and relationships.
- Establish standardized definitions and relationships across enterprise insurance data.
- Support ontology and semantic models for enterprise data and analytics platforms.
- Document modeling standards, business definitions, design principles, and reusable semantic assets.
- Work closely with Business SMEs, Data Architects, Product Owners, and Technology teams.
- Provide technical guidance and mentoring to junior data modelers.

Mandatory SkillsData Modeling

- 8+ years of overall IT experience.
- Strong hands-on experience in Data Modeling.
- Conceptual, Logical, and Physical Data Modeling.
- Enterprise Data Modeling and ER Modeling.
- Strong SQL skills.
- Experience with Erwin or equivalent data modeling tools.
- Data dictionaries and business definitions.




- Metadata Management, Data Governance, and Data Lineage.

Ontology & Semantic Modeling

- Experience with Ontology Modeling / Semantic Modeling.
- Taxonomy Management and Business Glossary.
- Knowledge Graph concepts.
- Semantic relationships and entity modeling.
- Exposure to RDF/RDFS, OWL, SKOS, SPARQL, SHACL or similar semantic technologies.
- Understanding of Linked Data / Semantic Web concepts.

Hands-on experience with every semantic technology is not mandatory, but meaningful experience in Ontology, Semantic Modeling, Taxonomy, or Knowledge Graphs is required.Mandatory Domain Experience – US P&C; Insurance

Strong hands-on experience in US Property & Casualty (P&C;) Insurance is mandatory.

Candidates must have experience in Claims and/or Underwriting.

Claims

- Claims Management
- First Notice of Loss (FNOL)
- Claims Intake
- Claims Processing
- Claims Adjudication
- Claim Payments
- Loss Reserves
- Claim Coverage
- Claim Lifecycle

Underwriting & Policy

- Insurance Underwriting
- Risk Assessment
- Policy Underwriting
- Coverage
- Exposure
- Rating
- Premium
- Policy Lifecycle
- Insured / Customer / Risk relationships

Insurance Finance

- Premium and Billing
- Payments
- Loss Reserves
- Financial Transactions
- Claims Payments
- Accounting / Financial Reporting
- Reinsurance concepts

Preferred Skills

- Enterprise Insurance Ontology
- Insurance Knowledge Graphs
- ACORD standards
- Insurance Canonical Data Models
- Master Data Management (MDM)
- Data Catalogs and Metadata Repositories
- Collibra
- Informatica
- Microsoft Purview
- Neo4j
- Amazon Neptune
- Stardog
- GraphDB
- GenAI / LLM / NLP / RAG
- Python / Java / Scala for ontology automation
- Agile delivery experience

Tools & Technologies

Core:
Erwin / Data Modeling Tools, SQL, Ontology & Semantic Modeling Tools, Metadata & Data Governance Platforms

Preferred:
RDF, OWL, RDFS, SKOS, SPARQL, SHACL, Neo4j, Amazon Neptune, Stardog, GraphDB, Collibra, Informatica, Microsoft Purview

Supporting:
ADF, Control-M, DB2,



Data Warehousing

Candidate Profile

The ideal candidate should have:

- 8+ years of overall IT experience.
- Strong experience as a Senior Data Modeler, Data Modeller, Ontology Specialist, or Semantic Modeler.
- Strong US P&C; Insurance domain expertise.
- Hands-on experience with Claims and/or Underwriting.
- Strong understanding of Policy, Claim, Coverage, Risk, Premium, Loss, and Exposure.
- Experience creating Conceptual, Logical, and Physical Data Models.
- Experience with Ontology, Taxonomy, Semantic Modeling, or Knowledge Graph concepts.
- Strong SQL and data modeling tool experience.
- Good stakeholder management and communication skills.
- Ability to independently work with business SMEs and translate requirements into enterprise data and semantic models.

Screening PriorityMust Have

- 8+ years of experience
- Strong Data Modeling experience
- Ontology / Semantic Modeling experience
- US P&C; Insurance domain experience
- Claims and/or Underwriting experience
- Solid understanding of Policy, Claim, Coverage, Risk, Premium, and Loss
- SQL
- Erwin or equivalent Data Modeling tool

Good to Have

- Knowledge Graph
- RDF / OWL / SKOS / SPARQL
- ACORD
- Data Governance / Metadata Management
- Core Insurance Finance
- Collibra / Purview / Informatica
- GenAI / RAG / NLP

Not a Fit

- Pure Data Engineer profiles
- ADF/ETL-focused candidates without strong Data Modeling experience
- Generic Data Warehouse Developers
- BI / Reporting profiles
- Candidates without US P&C; Insurance experience
- Generic AI/Ontology candidates without Insurance domain expertise

Education

Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, Artificial Intelligence, Engineering, or a related field.

Apply Now

Interested candidates with strong US P&C; Insurance + Data Modeling + Ontology/Semantic Modeling experience are encouraged to apply.

Please mention the following in your application:

- Total Experience
- P&C; Insurance Experience
- Claims / Underwriting Experience
- Data Modeling Experience
- Ontology / Semantic Modeling Experience
- Current Location
- Notice Period
- Current CTC
- Expected CTC

Pay: ₹100,000.00 - ₹110,000.00 per month

Benefits:

- Health insurance
- Work from home

Work Location: Hybrid remote in Hyderabad, Telangana 500099

📌 Senior Data Modeler / Ontology Specialist (Hyderabad)
🏢 Kasmoprav
📍 Hyderabad