Chief/Senior Enterprise Architect - GenAI Transformation | Insurance / Re-Insurance

CTO-Level GenAI Transformation LeaderRole Summary: 20+ years of experience in technology leadership with proven track record of driving enterprise-scale GenAI transformation. This role combines CTO-level architecture leadership, consulting advisory, and internal capability building, with a strong focus on Insurance / Re-Insurance clients.What We Are Looking For:20+ years of experience with strong pedigree of organizationsProven track record of leading large-scale AI/GenAI transformationsAbility to combine strategy, architecture, and executionExperience building lean, high-impact teamsEstablished or emerging industry thought leaderPersonal Characteristics:Executive presence with strong consulting mindsetStructured thinker and storytellerTechnically authoritative yet business outcome-drivenHigh ownership, ability to operate in matrixed organizationsStrong communicator with ability to influence at all levelsClient Consulting & Transformation:Lead CXO-level engagements, workshops, and advisory sessionsAct as a trusted advisor to clients on AI strategy and transformation roadmapsTranslate business problems into AI-driven solutions and executable architecturesSupport RFP/RFI, solutioning, and large deal pursuitsBuild strong executive and technical credibility with stakeholdersBusiness Growth & Market Leadership:Enable account growth and expansion through transformation initiativesPosition differentiated solutions competitively in the marketBuild strong industry presence and brand credibilityTechnical (including GenAI) & Enterprise Architecture Leadership:Define end-to-end architecture across applications, data, integration, infrastructure, and AIStrong knowledge of cloud platforms (Azure, AWS, GCP)Drive decisions on scalability, performance, resiliency, security, and cost optimizationEstablish enterprise AI stacks and platform strategiesDesign and implement agentic AI systemsExperience with MCP Connectors, vector databases and enterprise data ecosystemsAbility to shape AI-driven opportunities and map business problems to AI solutionsStrong Insurance / Re-Insurance domain expertise (preferred)