VP Insurance Consulting, Technology

Job Title: VP-Catastrophe Modeling Work Mode: Hybrid (3 Days WFO & 2 Days WFH) As Vice President – Catastrophe Modeling, you will spearhead a high-impact analytics portfolio reporting to the EVP–Data & Analytics, driving global service delivery, capability expansion, and digital transformation across catastrophe modeling, exposure management, and insurance analytics. Based in Gurugram, Noida, Bangalore, or Pune, you’ll lead one of the largest CAT teams supporting global insurers, overseeing multi-service engagements, client governance, and innovation workshops. You’ll architect strategy for CAT and exposure analytics, build centers of excellence, scale AI/ML and data engineering teams, and deliver next-gen solutions in climate analytics, predictive underwriting, and embedded intelligence. With full P&L ownership, you’ll optimize margins, modernize delivery through automation and proprietary platforms, and shape commercial models for monetizable analytics products. A strategic leader and industry voice, you’ll mentor senior talent, publish thought leadership, and represent the firm at global forums—cementing its position as a digital-first powerhouse in insurance transformation. This is a strategic role, reporting to the EVP–Data & Analytics, leads service delivery, capability growth, P&L management, and digital transformation for analytics business. Delivery & Client Management Manage multi-service engagements involving catastrophe modelling, exposure management, data engineering, and analytics. Facilitate governance discussions and strategic planning with clients to coordinate on roadmaps, KPIs, and growth objectives. Organize workshops aimed at exploring innovation and transformation opportunities with clients. Prepare white papers, research articles, and industry analyses to share perspectives related to insurance and financial analytics. Provide publications and insights on topics such as GenAI, embedded analytics, and data modernization. Capability & Operations Leadership Establish centres of excellence for specific risk areas, utilizing previous insights and business intelligence. Expand analytics coverage to include underwriting, claims, portfolio management. Build the specialized teams in exposure analytics, AI/ML, and data engineering. Develop efficient operating models to improve productivity, quality, and value for future requirements. Build capabilities for emerging risks, provide services to clients, and conduct various Proofs of Concept (PoCs). Drive cross-functional innovation sprints to develop advanced analytics offerings such as climate analytics, embedded insurance intelligence, and predictive underwriting. Oversee end-to-end planning, execution, and profitability for business. Transformation & Automation Collaborate with technology and product teams to build scalable AI tools and IP assets. Spearhead business automation, AI integration, digital workflow optimization, and product innovation for data processing, catastrophe modelling, and event response. Build and deploy proprietary platforms to modernize and advance exposure management and analytics processes. Lead initiatives focused on automation and digitization, aiming to minimize manual intervention, accelerate turnaround times, and reduce defects. Design and develop data-driven products, platforms, and APIs with monetization potential through subscription or on-demand business models. Oversee the complete lifecycle of analytical products, from minimum viable product (MVP) development to client deployment and ongoing enhancement. Collaborate with go-to-market and pricing teams to define commercial models—including OPEX, hybrid, and value-based strategies—for analytics solutions. Lead global teams, spanning operations, product, research, and consulting. Foster a culture of innovation and transformation through an in-house innovation lab. Mentor senior leaders and influence enterprise-wide strategy in capability building and operational excellence. Represent the company at forums on resilience, digital transformation, and AI-driven risk analytics. Talent Development & Knowledge Management Establish and scale frameworks such as XCERA (Catastrophe Expert in Risk Analytics) to influence both internal standards and industry-wide capabilities. Recruit, mentor, and develop a skilled team of data scientists, statisticians, domain experts, and product managers. Create internal training, certification, and career development programs to enhance organizational capabilities. Skill & Experience: Expert in catastrophe modeling, exposure management, actuarial analytics, data engineering, and transformation. Skilled at building business lines, scaling teams, and managing multi-million-dollar portfolios. Experienced in customer relations, governance, and consistent