• Drive the tactical execution of Post Sales operations, directly impacting our efficiency and customer experience. • Play a crucial role in configuring processes and generating insightful reports. • Execute essential system enhancements and resolve process issues directly supporting our customer experience teams. • Proactively address access needs and implement minor yet impactful changes.

• Establish and operationalize a comprehensive, federated Data and AI Governance framework (policies, standards, operating model, decision rights) that aligns with global business strategy and emerging AI/ML initiatives. • Define the vision and roadmap for enterprise data quality, master data management (MDM), data lineage, and metadata management programs, ensuring they support AI readiness. • Secure executive sponsorship and budget for all governance programs, effectively communicating the value and managing the program portfolio. • Lead the Responsible AI program, creating and enforcing policies for AI/ML model lifecycle, including fairness, bias mitigation, explainability (XAI), and transparency. • Ensure global compliance with all relevant data privacy, security, and AI regulations (e.g., GDPR, CCPA, EU AI Act) in partnership with Legal, Compliance, and Security teams. • Oversee the AI Risk Assessment process, proactively identifying and mitigating technical, ethical, and reputational risks associated with AI systems and their underlying data. • Build and scale the Data Stewardship and AI Governance bodies, defining roles and responsibilities and empowering a network of Data/AI Owners across business units. • Drive Data/AI literacy and a cultural shift towards data ownership and responsible AI usage across the enterprise. • Oversee the selection, implementation, and utilization of modern Data and AI Governance tools (e.g., Data Catalog, MDM, AI Risk Management platforms). • Lead and mentor a high-performing global team of governance specialists, architects, and analysts. • Serve as the primary liaison to the C-suite, providing clear, concise, and actionable updates on the state of Data & AI Governance, risk posture, and compliance.

Role Description Property & Casualty (P&C) insurance is one of the most AI-active, and most complex sectors in financial services. While the opportunity is significant, most insurers struggle to move from promising pilots to production-grade AI. Challenges around data quality, model explainability, human-in-the-loop requirements, and regulatory scrutiny continue to slow progress. CloudFactory is built to solve exactly this. As Client Principal, AI Consulting (Property & Casualty Insurance), you will be the senior commercial and strategic leader for our P&C sector. You will operate as a trusted advisor to executive stakeholders across large carriers, specialty insurers, and insurtechs, shaping AI transformation agendas and leading engagements from origination through delivery oversight. This is a high-impact, externally facing role for someone who can open doors, lead complex conversations, and convert opportunity into long-term partnerships. What You’ll Do - Executive Relationships & Strategic Advisory - 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. - Business Development & Commercial Leadership - 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. - Solution Shaping & Delivery Oversight - 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. - Thought Leadership & Market Influence - 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. - Leadership & Collaboration - 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. Qualifications - 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 - Compensation: Highly competitive base salary and an aggressive, performance-aligned incentive compensation structure. - Comprehensive Benefits: Robust health, dental, vision, and retirement plans. - Cutting-Edge Projects: Direct exposure to, and leadership of, advanced AI initiatives with the world's most influential energy corporations. - Collaborative Culture: A supportive, high-performance team environment focused on innovation and measurable client success. - Professional Growth: Structured access to continuous executive education, mentorship, and accelerated leadership development opportunities. - Executive Visibility: Regular interaction with, and direct accountability to, the company’s senior leadership team.

• Translate the Leadership Team's strategic objectives into AI-powered solutions that improve operational efficiency and business performance. • Design, develop and implement AI tools, agents and automation solutions across the organisation. • Identify opportunities to automate repetitive, low-value tasks, allowing teams to focus on higher-value activities. • Ensure AI solutions align with business goals and support long-term organisational growth. • Design, develop and maintain systems for collecting, organising and visualising business data. • Create dashboards and reporting tools that support performance monitoring and informed decision-making. • Ensure the accuracy, integrity and accessibility of business data across AI-powered systems. • Collaborate with stakeholders to identify reporting requirements and recommend data-driven improvements. • Research, evaluate and test emerging AI technologies, automation platforms and digital tools. • Recommend innovative solutions that enhance productivity, operational efficiency and business performance. • Stay up to date with developments in artificial intelligence and identify opportunities for implementation. • Promote best practices for AI adoption across the organisation. • Maintain and optimise the organisation's ecosystem of AI tools, digital platforms and intelligent agents. • Monitor system performance, reliability and security. • Troubleshoot technical issues and implement continuous improvements. • Ensure AI solutions remain scalable, efficient and aligned with evolving business requirements.