AI Consulting (Property & Casualty Insurance)

Job Description

Client Relationship Management
Build and maintain trusted relationships with senior executives within P&C insurance organizations including Chief Claims Officers, Chief Data Officers, and underwriting leaders.
Develop deep understanding of client priorities across claims automation, underwriting optimization, fraud detection, risk modeling, catastrophe analytics, and regulatory compliance
Serve as a strategic advisor guiding clients through AI adoption decisions, from use case scoping through production deployment and model governance.
Lead executive conversations on how AI — and specifically human-in-the-loop approaches — can improve efficiency, accuracy, and defensibility in insurance workflows.
Navigate complex multi-stakeholder environments: actuarial, claims, IT, legal/compliance, and data science functions often have divergent priorities; you’ll need to align them.
Proactively identify expansion opportunities within accounts; map and cultivate economic buyers and champions.
Business Development and Sales
Drive new logo acquisition and account expansion within large enterprise P&C insurance across major US and European markets.
Develop strategic account plans with clear expansion paths from initial use case to enterprise-wide AI program.
Lead commercial engagements end-to-end: discovery, proposal development, commercial structuring, and executive presentation.
Partner with internal teams to shape consulting engagements tailored to insurance operations.
Understand P&C procurement dynamics, including RFP processes, vendor risk management, data governance and residency requirements, and regulatory constraints — and navigate them effectively.
Solution Design and Delivery
Identify high-impact AI use cases across the P&C value chain, including: claims document processing and intelligent document understanding; aerial and satellite imagery analysis for property assessment; NLP for policy, coverage, and regulatory text; underwriting data enrichment and risk model validation; FNOL automation and subrogation workflows.
Conduct discovery sessions and workshops to identify opportunities for AI-driven transformation across insurance value chains.
Translate client operational and regulatory challenges into compelling AI solutions involving data annotation, machine learning model development, and automation pipelines.
Collaborate with data scientists and engineering teams to ensure successful project execution.
Ensure timely delivery, scope, and client satisfaction throughout project lifecycles.
Thought Leadership and Industry Expertise
Stay informed on emerging trends in AI within insurance, including risk modeling, intelligent document processing, and fraud detection.
Contribute to external visibility through participation in industry events and client workshops, positioning the company as a trusted AI consulting partner.
Demonstrate expertise in the regulatory landscape shaping AI in insurance: state DOI guidelines, NAIC model bulletins, EU AI Act implications for European carriers, and model risk management frameworks.
Feed sector intelligence back into product and GTM strategy.
Team Leadership and Mentorship
Lead cross-functional teams of consultants, data scientists, and engineers.
Foster collaboration and innovation across delivery teams.
Support knowledge sharing and best practices in AI consulting engagements.