Lead – Insurance Underwriting & Loss Ontology
Core
Define, govern, and advance the enterprise ontology for insurance coverage, exposure, underwriting, claims, and loss information to ensure consistent business meaning and data integrity across operational systems, integrations, and AI-driven applications.
Role type
Lead Insurance Domain Ontologist (Data Governance)
Builds
Enterprise data models, schemas, data dictionaries, naming standards, and business definitions for insurance risk and loss concepts.
Domain
Insurance (Underwriting, Claims, Loss) + Data Governance & Ontology
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
Insurance underwriting and loss domain expertise, Ontology design and governance, Master data management, Data integration and mapping, Data quality management, Industry standards knowledge (ACORD, IVANS), Stakeholder management, Regulatory reporting knowledge
Preferred skills
Experience with carrier data integration, Actuarial concepts, AI/ML data asset preparation
Technologies
ACORD, IVANS, Enterprise Data Models, Data Dictionaries
Responsibilities
Develop and manage domain ontology structures for coverage, exposure, underwriting, claims, and loss; Integrate internal, carrier, and third-party data into the ontology; Establish and maintain governance standards for critical insurance data; Align domain data from source systems across business units; Enable analytics and AI by translating business concepts into trusted data assets; Monitor industry standards and regulatory requirements.
Seniority
Senior, hands-on IC with strategic alignment
