Senior Semantic Architect & Graph Modeler

The Hartford; United States; Remote; USD 145,000 - 218,000; Full time

Job summary

The Hartford is seeking a Dir & Data Engineer focusing on semantic engineering to design and operationalize enterprise ontologies, context graphs, and knowledge graphs across the Business Insurance data portfolio. You will enable explainability, trusted analytics, and AI-driven decision-making by standardizing concepts and relationships among customers, policies, claims, and products.

With 8–12+ years of hands-on experience, you will drive scalable semantic platforms, promote reusable patterns,

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Information Management, or related field, or equivalent experience.
• 8–12+ years of hands-on experience in semantic layer architecture, ontology modeling, graph modeling, and knowledge graph design at enterprise scale.
• Deep, hands-on expertise with RDF, OWL (OWL 2), RDFS, SKOS, SPARQL, and W3C semantic web standards.

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 and explainability.
• 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 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 outputs can be traced to governed semantic definitions and source data.
• Serve as the principal authority for semantic engineering, ontology, and graph-modeling practices.

Skills

Ontology modeling

Graph modeling

Knowledge graphs

RDF/OWL

SPARQL

LMM integration

Leadership

Communication

Education

Bachelor's or Master's in CS/Engineering/Data Science/Information Management

Tools

Neo4j

Amazon Neptune

Spanner Graph

Job description

The Hartford is seeking a Dir & Data Engineer focusing on semantic engineering to design and operationalize enterprise ontologies, context graphs, and knowledge graphs across the Business Insurance data portfolio. You will enable explainability, trusted analytics, and AI-driven decision-making by standardizing concepts and relationships among customers, policies, claims, and products.

With 8–12+ years of hands-on experience, you will drive scalable semantic platforms, promote reusable patterns,