Client Principal - AI Consulting (Property & Casualty Insurance) at CloudFactory Limited

, , United States -

Full Time

Start Date

Immediate

Expiry Date

22 Jun, 26

Salary

0.0

Posted On

24 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Client Relationship Management, Business Development, Sales, Account Expansion, Proposal Development, Solution Design, Use Case Identification, AI Transformation, Human-in-the-Loop, Regulatory Compliance, Executive Communication, Team Leadership, Property & Casualty Insurance Expertise, Technical Fluency, Consulting

Industry

technology;Information and Internet

Description

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. Position Overview 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 CloudFactory are built to solve. As Client Principal for our P&C Insurance sector, you will be the senior commercial and strategic presence for CloudFactory 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. Key ResponsibilitiesClient 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. Industry Expertise - 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. Existing Network - 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. Business Acumen - Ability to translate complex insurance business challenges into AI-enabled solutions. Technical Fluency - Solid understanding of AI and machine learning technologies, including NLP, computer vision, and predictive analytics. Consulting & Client Leadership - Proven experience leading strategic client relationships and large consulting engagements. Communication Skills - 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. Leadership - Experience managing cross-functional teams and complex projects. Education - Bachelor’s degree in computer science, engineering, statistics, or related field. Advanced degrees in AI, data science, or business are a plus. Experience - 10+ years in consulting, technology, or AI solutions within insurance or financial services. 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. This role offers a unique opportunity to shape the AI landscape for major corporations. If you’re a consultative professional with a passion for AI and a talent for closing complex enterprise deals, we’d love to hear from you!

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Responsibilities

The Client Principal will serve as the senior commercial and strategic presence for the company within Property & Casualty insurance clients, building trusted relationships with C-suite and VP stakeholders to guide AI transformation decisions. Key duties include driving new logo acquisition, leading commercial engagements end-to-end, and identifying high-impact AI use cases across the P&C value chain.