Lead - Insurance Underwriting, Loss Ontology

Develop and manage the Coverage, Exposure, Underwriting, Claims, and Loss domain ontology Create and maintain enterprise data models, schemas, data dictionaries, naming standards, business definitions, classifications, hierarchies, and business logic Design integration of first-party, second-party, and third-party data into the domain 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 sources Establish and maintain governance standards, authoritative sources, business rules, data quality requirements, and data usage practices Identify, onboard, and align underwriting, policy, claims, carrier, exposure, and loss data from source systems Partner with stakeholders to discover data sources, define ontology mappings, and ensure data is extracted, transformed, and conformed to enterprise standards Establish and maintain data lineage, business rules, and data requirements Enable analytics, reporting, data science, AI solutions, profitability analysis, portfolio management, predictive models, and enterprise decision-making Monitor insurance industry data standards, regulatory requirements, carrier reporting specifications, and market data exchange frameworks Incorporate changes to ACORD, IVANS, carrier data requirements, and regulatory reporting obligations into ontology models, definitions, and business rules Partner with underwriting, claims, business, carrier, data, analytics, technology, governance, legal, compliance, product, workflow, and AI stakeholders Provide domain expertise, data alignment, and ongoing support for core submission and underwriting applications Requirements Deep knowledge of commercial and personal lines insurance coverages across retail, wholesale, and specialty business units Understanding of policy structures, coverages, endorsements, exclusions, limits, deductibles, sublimits, and conditions Ability to interpret carrier forms, manuscript forms, and policy language Knowledge of how coverages vary by carrier, product, state, and program Expertise in exposure information used to evaluate and price risk Understanding of insured locations, operations, property values, payroll, sales, vehicle schedules, employee counts, occupancy, classifications, and industry-specific exposures Knowledge of underwriting submission data captured through ACORD forms and carrier applications Ability to standardize and govern exposure data across diverse business units and source systems Understanding of underwriting workflows from submission through quote, bind, issuance, renewal, and endorsement Knowledge of underwriting appetite, risk selection, eligibility rules, and pricing factors Experience with loss ratio analysis, risk segmentation, predictive modeling inputs, and portfolio management Ability to translate underwriting concepts into enterprise data structures, business rules, and ontology definitions Deep understanding of the claims lifecycle, including FNOL, investigation, reserving, settlement, and closure Knowledge of indemnity payments, expense payments, reserves, recoveries, subrogation, salvage, and litigation Experience analyzing claim frequency, severity, incurred losses, paid losses, and loss development Understanding of how loss outcomes connect to underwriting decisions and exposure characteristics Comfortable with an on-site presence to support collaboration, team leadership, and cross-functional partnership Must be able to work without visa sponsorship; Acrisure is not able to sponsor visas for this position Full-time role; C2C and C2H employment are not offered Core Competencies Demonstrates expertise in developing and managing insurance domain ontologies, including Coverage, Exposure, Underwriting, Claims, and Loss data. Proficient in establishing governance standards, data quality requirements, and integrating diverse data sources to support analytics and decision-making. Highest-signal resume keywords Insurance Domain Ontology Development Data Governance Standards Underwriting Workflow Understanding Loss Ratio Analysis Predictive Modeling Expertise Hard Skills Data Modeling Ontology Mapping Data Quality Management Risk Evaluation Exposure Information Analysis ACORD Forms Knowledge Predictive Modeling Claims Lifecycle Understanding Data Integration Business Rule Definition Soft Skills Collaboration Team Leadership Cross-Functional Partnership Industry Keywords Commercial Insurance Personal Lines Insurance Underwriting Claims Management Data Analytics Regulatory Compliance Market Data Exchange Insurance Coverages Risk Selection Portfolio Management #J-18808-Ljbffr Jobtailor