Executive Search Success Story: Recruiting a Chief AI Officer to Modernize Underwriting and Claims for a Jacksonville Insurance Carrier

How JRG Partners executed a confidential Chief AI Officer search that equipped a Jacksonville-headquartered property and casualty insurer with the enterprise AI leadership required to transform underwriting, accelerate claims processing, and meet regulatory expectations for responsible AI in a heavily supervised industry.

The Challenge

A regional property and casualty carrier headquartered in Jacksonville was losing ground to national insurers deploying AI across underwriting, pricing, and claims. Internal analytics teams had built promising models, but none had reached production because the company lacked an executive who could bridge technology, actuarial, and regulatory requirements. Executive leadership identified several critical vulnerabilities threatening their market position:

• Underwriting cycle times significantly slower than AI-enabled national competitors
• Claims processing costs rising while customer satisfaction scores declined
• Promising models stalled in development due to unclear ownership and regulatory uncertainty
• Increasing scrutiny from state regulators regarding AI use in pricing and claims decisions
• No executive with the credibility to align actuarial, IT, compliance, and operations leaders
• Difficulty attracting senior AI talent to a traditional insurance organization

Recognizing that incremental analytics investment would not close the gap, the CEO and board created a Chief AI Officer position with authority over AI strategy, model governance, and production deployment. The mandate also included a Head of AI Governance & Model Risk and a Director of Claims Analytics. The company required an executive search partner with deep regulated-industry experience and access to AI leaders who had operated under supervisory scrutiny.

Why They Chose JRG Partners

Regulated-Industry AI Search Experience

JRG Partners has extensive experience recruiting AI and data leadership for insurance, banking, healthcare, and other supervised industries. Our consultants understand the governance, explainability, and model risk expectations that distinguish these searches from technology-sector placements.

Financial Services Executive Networks

Our firm maintains established relationships with senior AI, actuarial, and analytics leaders across national carriers, reinsurers, banks, and insurtech organizations, providing immediate access to passive candidates.

Florida and Southeast Reach

With deep networks across Florida and the Southeast, JRG Partners positioned Jacksonville’s growing financial services sector and quality of life as competitive advantages against Northeast and Midwest insurance hubs.

Our Executive Search Strategy

Phase 1 — Stakeholder Alignment & Role Definition

Our consultants partnered directly with the CEO, Chief Actuary, Chief Risk Officer, and General Counsel to define the Chief AI Officer’s authority, governance responsibilities, and relationship to existing risk and compliance functions. This ensured the new executive would be empowered rather than constrained by internal structures.

Phase 2 — Talent Identification & Mapping

Our research team performed an extensive talent mapping initiative targeting AI leaders at national carriers, reinsurers, insurtech companies, banks, and enterprise AI organizations with regulated-industry experience. Over 290 executive profiles were systematically assessed for production AI delivery under regulatory oversight.

Phase 3 — Candidate Engagement

Priority during outreach was given to executives with a documented history of deploying AI in underwriting or claims, building model governance frameworks accepted by regulators, and leading cross-functional change in traditional organizations. Only candidates meeting these strict performance baselines advanced.

Phase 4 — Selection Process

Finalists completed structured assessments covering AI strategy, model risk management, and regulatory engagement scenarios before advancing to interviews with the executive committee and board risk committee. Reference verification focused on measurable underwriting and claims outcomes.

Key Outcomes

• 290+ AI, data, and analytics executive profiles mapped across insurance and regulated financial services.
• Placed the carrier’s first Chief AI Officer in 64 days with authority spanning strategy, governance, and deployment.
• Reduced commercial underwriting cycle times by 40% through AI-assisted decisioning.
• Lowered claims costs while raising customer satisfaction through automated triage and fraud detection.
• De-risked regulatory exposure through a formal AI governance and model risk program.
• Built a three-role AI leadership structure spanning strategy, governance, and claims analytics.