Client Principal – AI Consulting, Property & Casualty Insurance

🕒 March 24

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CloudFactory

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2010

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

CloudFactory is a company that provides an AI Data Platform to accelerate the journey from AI concepts to fully operational solutions. Their platform enables the creation and preparation of high-quality, structured datasets aimed at improving model accuracy and speeding up deployment. CloudFactory's services include GenAI for enhancing foundational LLM model performance, model oversight for auditing and managing AI models, and professional services guiding projects through value proof and MVP stages to full production. The company places a strong emphasis on inference optimization and the synergy of human and machine intelligence to ensure trustworthy and reliable AI model deployment, focusing on delivering real-world business results. They also prioritize data security and compliance with industry standards like ISO 9001:2015, ISO 27001, SOC 2, HIPAA, and GDPR.

📋 Description

• 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 lifecycles. • 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. • 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.

🎯 Requirements

• Deep experience in Property & Casualty insurance, including familiarity with underwriting, claims processing, risk modeling, and regulatory environments. Strong understanding of key industry players and market dynamics. • Senior level relationships (VP-level and above) across large carriers, specialty insurers, or reinsurers that can be activated from day one. This is not a role where you build a network from scratch. • Ability to translate complex insurance business challenges into AI-enabled solutions. • Solid understanding of AI and machine learning technologies, including NLP, computer vision, and predictive analytics. • Proven experience leading strategic client relationships and large consulting engagements. • Ability to explain complex AI concepts to both technical and non-technical stakeholders. Strong executive communication and presentation skills. Ability to hold a room with senior leaders and be seen as a peer, not a vendor. • Experience managing cross-functional teams and complex projects. • Bachelor’s degree in computer science, engineering, statistics, or related field. Advanced degrees in AI, data science, or business are a plus. • 10+ years in consulting, technology, or AI solutions within insurance or financial services.

🏖️ Benefits

• Competitive Salary and Incentive-based compensation aligned with performance. • Comprehensive Benefits Package: Health, dental, vision, and retirement plans. • Exposure to Cutting-Edge AI Projects: Work on advanced AI initiatives with industry-leading clients. • Collaborative Work Environment: A supportive team atmosphere focused on innovation and success. • Professional Development: Access to continuous learning and growth opportunities. • Leadership Visibility: Regular exposure to and interaction with the company’s senior leadership.