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 data usage across systems, reporting, and AI applications.
Role type
Lead Insurance Domain Ontologist
Builds
Enterprise data models, schemas, data dictionaries, and semantic definitions for insurance risk and loss concepts.
Domain
Insurance (Underwriting, Claims, Loss) + Data Governance & Ontology
Deliverable
production ML models
Required skills
Insurance underwriting and loss domain expertise, Ontology design and governance, Master data management, Data integration and mapping, Industry standards knowledge (ACORD, IVANS), Stakeholder management, Data quality management, Regulatory reporting knowledge, Analytics and AI collaboration
Preferred skills
Experience with retail, wholesale, and specialty insurance business models, Knowledge of carrier data structures and submission requirements, Actuarial background, Experience with catastrophe and geospatial data
Technologies
ACORD, IVANS, Enterprise data modeling tools, Data integration platforms
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 to update ontology models.
Seniority
Lead, hands-on IC with strategic oversight
