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Lead – Insurance Underwriting & Loss Ontology

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Acrisure
Full Time position
Listed on 2026-09-22
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 140000 - 210000 USD Yearly USD 140000.00 210000.00 YEAR
Job Description & How to Apply Below

Lead
- Insurance Underwriting & Loss Ontology

Onsite 4 days per week

Note:

This is a full-time role and we do not offer C2C or C2H employment and are not able to sponsor visas for this position.

About Acrisure

Acrisure Enterprise Technology Group is where human expertise meets advanced technology.

A global fintech leader, Acrisure empowers millions of ambitious businesses and individuals with the right solutions to grow boldly forward. Bringing cutting-edge technology and top-tier human support together, we connect clients with customized solutions across a range of insurance, reinsurance, payroll, benefits, cybersecurity, mortgage services – and more.

In the last twelve years, Acrisure has grown in revenue from $38 million to almost $5 billion and employs over 19,000 colleagues in more than 20 countries. Acrisure was built on entrepreneurial spirit. Prioritizing leadership, accountability, and collaboration, we equip our teams to work at the highest levels possible.

The Acrisure Data Ontology Department

The Acrisure Data Ontology Department is a centralized function that defines and governs the enterprise’s shared business language, data concepts, and relationships to ensure consistent use of data across systems, reporting, and operations. Combining ontology design, governance, master data management, and embedded subject matter expertise across core business domains, the department serves as the semantic bridge between business and technology - establishing canonical definitions, structuring enterprise data, enabling aligned system integration, and standardizing analytics logic through consistent dimensions, measures, and derived properties.

This integrated approach enables accurate modeling of business concepts, faster resolution of ambiguity, and stronger alignment across integrations, analytics, and enterprise transformation, while supporting scalable standardization, data quality, and AI.

The Lead
- Insurance Underwriting & Loss Ontology

The Lead
- Insurance Underwriting & Loss Ontology is responsible for defining, governing, and advancing the enterprise ontology supporting insurance coverage, exposure, underwriting, claims, and loss information across Acrisure's retail brokerage, wholesale, and specialty insurance businesses. Embedded within the Acrisure Data Ontology Department, this domain expert ensures consistent business meaning, semantic alignment, and data integrity across operational systems, data integrations, master data, analytics, and AI-driven applications.

Working closely with business leaders, application owners, product teams, and data consumers, the role enables a unified and scalable foundation for insurance data management and decision‑making across the enterprise.

Core Functions:
  • Develop & Manage Domain Ontology:
    Develop and manage the Coverage, Exposure, Underwriting, Claims, and Loss domain ontology, including enterprise data models, schemas, data dictionaries, naming standards, business definitions, classifications, hierarchies, and business logic. Ensure domain structures accurately represent insurance risk, coverage, exposure, underwriting, and loss concepts while supporting consistent use across Acrisure's retail, wholesale, and specialty business units.
  • Integrate Internal, Carrier & Third-Party Data:
    Design data integration of first-party, second party, and third-party data into the Coverage, Exposure, Underwriting, Claims, and Loss ontology. Establish standards and mappings for internal business data, carrier and market data, IVANS transactions, loss runs, valuation data, catastrophe and geospatial data, industry benchmarks, and other external data sources. Ensure all data is accurately aligned to ontology standards, business definitions, and domain schemas to…
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