Principal Ontologist and Graph Modeler

Principal Ontologist and Graph Modeler### Principal Ontologist and Graph Modeler Apply:
100% Remote:
Hartford, CT:
Boston, MA:
Full time:
Posted Today:
R2627580

Dir & Data Engineer - GE06BE
We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.
The
** Principal Ontologist and Graph Modeler
** is responsible for designing, implementing, and operationalizing enterprise semantic models, ontologies, and knowledge representations that provide meaning, context, and explainability for AI-driven analytics, agentic systems, and decision automation across the Business Insurance data portfolio.  This role ensures that Business Insurance concepts, entities, relationships, metrics, rules, and behaviors are explicitly modeled and consistently applied across data products and AI systems. The role enables reuse, trust, reasoning, semantic interoperability, and scalable AI adoption across underwriting, policy, claims, distribution, customer, product, and portfolio domains.  

Operating at the intersection of business semantics, data architecture, graph engineering, and AI enablement, this role translates complex insurance domain knowledge into production-ready semantic assets that are consumable by both humans and machines.
*
* Job Responsibilities:

*** Lead the design and execution of enterprise-scale semantic layers for the Business Insurance data portfolio to standardize business meaning and enable trusted analytics, AI, and agentic use cases.
* Define and operationalize ontologies, context graphs, and knowledge graphs across Business Insurance domains to power reasoning, explainability, and decision intelligence.
* Model core insurance concepts and relationships spanning customers, accounts, submissions, quotes, policies, coverages, products, risks, claims, producers, and portfolio performance.
* Enable semantic-first AI and agentic analytics by ensuring large language models and agents can consume governed business context, metrics, rules, and relationships.
* Define canonical semantic vocabularies that standardize meaning across structured and unstructured Business Insurance data sources.
* Drive production-scale execution of semantic and graph platforms with strong standards for performance, governance, security, and lifecycle management.
* Define and promote standards and reusable patterns for ontology modeling, graph modeling, semantic interoperability, and ontology reuse across delivery teams.
* Partner with Business Insurance data product owners, domain leaders, architects, and engineers to embed semantic models into data products, AI pipelines, analytics, and activation layers.
* Work closely with AI Data Architects and AI Data Engineers to operationalize ontologies through graphs, metadata services, APIs, and production data platforms.
* Align ontologies and graph models with enterprise data governance, metadata, lineage, quality, privacy, and security standards.
* Enable explainability by ensuring AI and analytical outputs can be traced to governed semantic definitions, relationships, rules, and source data.
* Serve as the principal authority for semantic engineering, ontology, and graph-modeling practices supporting the Business Insurance data portfolio.
* Advance agentic data engineering through reference patterns, playbooks, proofs of value, and production deployments.
* Contribute to communities of practice, reference guidance, reusable assets, and internal enablement materials.
** Requirements:
*** Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Information…