Key Responsibilities
Validate AI-driven underwriting outputs for accuracy and reliability
Provide feedback on underwriting workflows and identify inefficiencies
Partner with software developers to refine and improve product functionality
Recommend process and product enhancements based on underwriting expertise
Identify gaps between AI tools and real-world underwriting workflows
Support roadmap and feature prioritization with subject matter insight
Serve as a bridge between underwriting operations and technical teams
Required Experience
Active, hands-on underwriting experience (currently underwriting risks regularly)
Experience making risk decisions, including overrides or exceptions to automated recommendations
Familiarity with legacy underwriting systems (policy admin, rating systems, etc.)
Experience with manual data aggregation workflows across multiple sources
Exposure to AI-enabled underwriting tools (e.g., risk scoring, document extraction, submission ingestion)
Preferred Qualifications
Understanding of AI applications in underwriting (strengths, limitations, edge cases)
Experience working alongside or collaborating with technical/product teams
Knowledge of integration challenges between AI tools and legacy systems
Exposure to vendor onboarding processes and tool adoption barriers
Ability to identify and articulate manual workarounds and workflow inefficiencies
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