Client Principal - AI Consulting; Property & Casualty Insurance

Company Overview

As a leading AI company generating over $40M in annual revenue, we deliver advanced AI consulting services that help Fortune 500 companies and enterprise clients transform operations through AI-powered data solutions. Our platform combines technology and human expertise to deliver reliable, scalable AI outcomes.

In insurance, our work spans claims document processing, aerial and satellite imagery analysis for underwriting and loss assessment, NLP model training for policy and regulatory text, and human-in-the-loop validation for risk models — powering AI systems that reduce loss ratios, accelerate claims cycles, and improve underwriting accuracy.

Property & Casualty insurance is one of the most AI-active verticals in financial services — and one of the most constrained. Claims automation, underwriting optimization, catastrophe modeling, and regulatory compliance are all being reshaped by machine learning. Yet most carriers are struggling to move from promising pilots to production-grade AI: data quality, model explainability, human-in-the-loop requirements, and regulatory scrutiny all create bottlenecks that specialist partners like Cloud Factory are built to solve.

As Client Principal for our P&C Insurance sector, you will be the senior commercial and strategic presence for Cloud Factory across large carriers, specialty insurers, and insurtech clients. You will operate as a peer-level advisor to C-suite and VP stakeholders, guiding them through AI transformation decisions and leading the commercial engagement from origination through delivery oversight.

• 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.

• 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.

• 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 life cycles.