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CloudFactory

Client Principal, AI Consulting – Property & Casualty Insurance

CloudFactory

Client Principal leading AI initiatives for the Property & Casualty Insurance sector at CloudFactory. Shaping strategic AI solutions and fostering executive relationships for major clients.

Posted 7/6/2026full-timeRemote • Connecticut, District of Columbia, Illinois, Massachusetts, New York, North Carolina • 🇺🇸 United StatesLeadWebsite

About the role

Key responsibilities & impact
  • Build and lead market growth strategy for P&C insurers, reinsurers and insurtechs, to include establishing and owning senior prospect relationships.
  • Engage C-suite and VP stakeholders (Claims, Data, Underwriting, Risk) as a trusted advisor, not a vendor.
  • Operate as a strategic advisor on AI adoption, from use case identification to production deployment and model governance.
  • Lead executive discussions on how AI, particularly human-in-the-loop approaches, can improve efficiency, accuracy, and regulatory defensibility.
  • Align complex stakeholder groups across claims, actuarial, IT, data science, and compliance functions.
  • Identify and drive expansion opportunities within existing accounts.
  • Own new logo acquisition, account expansion and P/L management across enterprise P&C clients in the US and Europe.
  • Develop strategic account plans that scale from initial use cases to enterprise-wide AI programs.
  • Own the full commercial lifecycle: discovery, solution framing, proposal development, and executive presentations.
  • Navigate procurement processes, RFPs, vendor risk frameworks, and regulatory constraints effectively.
  • Partner with internal teams to craft tailored, high-impact solutions for insurance clients.
  • Identify high-impact AI use cases across the insurance value chain, including:
  • - Claims document processing and intelligent document understanding
  • - Aerial and satellite imagery analysis for property assessment
  • - NLP for policy, coverage, and regulatory interpretation
  • - Underwriting data enrichment and risk model validation
  • - FNOL automation and subrogation workflows
  • Lead discovery sessions and workshops to uncover transformation opportunities.
  • Translate operational and regulatory challenges into scalable AI solutions.
  • Collaborate closely with data science and engineering teams to ensure successful execution.
  • Maintain accountability for delivery quality, timelines, and client satisfaction.
  • Stay at the forefront of AI trends in insurance, including fraud detection, intelligent document processing, and risk modeling.
  • Represent CloudFactory in industry forums, client workshops, and executive discussions.
  • Demonstrate strong awareness of regulatory frameworks (e.g., NAIC guidelines, EU AI Act, model risk management standards).
  • Feed market insights back into product development and go-to-market strategy.
  • Lead and influence cross-functional teams across consulting, data science, and delivery.
  • Foster a culture of collaboration, innovation, and continuous improvement.
  • Contribute to knowledge sharing and best practices across engagements.

Requirements

What you’ll need
  • Deep P&C Insurance Expertise: Strong understanding of underwriting, claims, risk modeling, and regulatory environments, with insight into key market players and trends.
  • Established Executive Network: Existing VP+ relationships across carriers, specialty insurers, or reinsurers that can be activated immediately.
  • Commercial & Strategic Acumen: Proven ability to translate complex insurance challenges into compelling AI-driven solutions and business value; P/L management experience.
  • Technical Fluency: Solid understanding of AI/ML concepts, including NLP, computer vision, and predictive analytics (no coding required, but strong conceptual grasp is essential).
  • Consulting & Client Leadership: Track record of leading large, complex engagements and influencing senior stakeholders.
  • Executive Presence & Communication: Ability to clearly articulate complex ideas, command executive conversations, and operate as a trusted peer—not a vendor.
  • Leadership Experience: Experience leading cross-functional teams in dynamic, high-stakes environments.
  • Experience: 10+ years in consulting, technology, or AI-driven roles within insurance or financial services.
  • Education: Bachelor’s degree in a relevant field (e.g., engineering, computer science, statistics). Advanced degrees are a plus.

Benefits

Comp & perks
  • Highly competitive base salary and an aggressive, performance-aligned incentive compensation structure.
  • Robust health, dental, vision, and retirement plans.
  • Direct exposure to, and leadership of, advanced AI initiatives with the world's most influential energy corporations.
  • A supportive, high-performance team environment focused on innovation and measurable client success.
  • Structured access to continuous executive education, mentorship, and accelerated leadership development opportunities.
  • Regular interaction with, and direct accountability to, the company’s senior leadership team.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
UnderwritingClaims ManagementRisk ModelingNLPComputer VisionPredictive AnalyticsP/L ManagementAI Adoption StrategyRegulatory Framework AwarenessSolution Development
Soft Skills
Executive PresenceCommunicationLeadershipCollaborationInfluencing