Decision Science Manager- Data Ontology

Job Description:

Designation: Decision Science Architect/Data Ontologist

Advanced Analytics Center at Value Momentum:

At Value Momentum, we've strategically established an Advanced Analytics Center in to bolster our AI and Analytics capabilities in the Property & Casualty (P&C) Insurance sector. This unit is dedicated towards revolutionizing the P&C Insurance with cutting-edge AI and analytics solutions. Advanced Analytics Center plays a pivotal role in company's overall IT consulting and services talent strategy, with a focus on capability development, fostering reusability, and stimulating experimentation and innovation.

Our work environment is dynamic, intellectually stimulating, and seamlessly combines capability development with service delivery. Comprising a diverse team of data scientists, analysts, and consultants specializing in analytics, we offer a distinctive blend of industry expertise, AI proficiency, and top-tier technologies. By collaborating with business verticals, engineering centers, and our clients, Advanced Analytics team delivers state-of-the-art AI/analytics solutions across the P&C value chain – Product/Underwriting, Claims, Distribution, and Enterprise IT.

About the Role

We are looking for an experienced Data Ontologist to build and maintain enterprise business ontologies, taxonomies, and semantic models for Property & Casualty (P&C) Insurance. The role will help establish a common business language across policy, claims, underwriting, broker, customer, and financial data while enabling AI, Knowledge Graphs, and Data Products.

Key Responsibilities

• Design and maintain enterprise ontologies for P&C insurance business domains.

• Develop business taxonomies, controlled vocabularies, and semantic models.

• Build and manage Knowledge Graphs representing relationships across business entities.

• Define canonical business models aligned with enterprise standards.

• Collaborate with business SMEs, data architects, and AI teams to standardize business definitions. • Create semantic mappings across multiple source systems.

• Support AI use cases including RAG, Enterprise Search, and Agentic AI.

• Develop business glossaries and metadata standards.

• Ensure consistency, governance, and version control of ontology assets.

• Work closely with Data Governance and Data Product teams.

Required Skills

• 8+ years in Data Management, Data Architecture, or Knowledge Management.

• Strong understanding of P&C Insurance (Claims, Policy, Underwriting, Broker, Customer).

• 3 + years of Experience with Knowledge Graphs and semantic technologies.

• Understanding of RDF, OWL, SKOS, SPARQL (preferred).

• Experience with Collibra, Purview, Unity Catalog, or OpenMetadata.

• Familiarity with Databricks, Snowflake, Azure, or AWS.

• Knowledge of AI, RAG, and LLM-based applications is an advantage.

Preferred Qualifications

• Experience with ACORD standards.

• Exposure to Graph Databases (Neo4j, Amazon Neptune, GraphDB).

• Understanding of Data Governance and Master Data Management.

• Experience supporting Enterprise AI initiatives.

Success Measures

• Standardized enterprise business vocabulary.

• Improved AI search and retrieval accuracy.

• Reusable semantic models across business domains.

• Better data consistency and governance.