Position:
Title: Senior Vice President
Job Location: India
About company:
Our client is a global provider of insurance organizations' strategic consulting and managed services, technology, data sciences, and blockchain solutions. With offices in the United States, United Kingdom, Poland, India, and Australia, it helps insurers launch new products, drive operations, implement intelligent technology, deploy advanced analytic capabilities, and optimize business processes.
Role and Responsibilities
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.
Key responsibilities include:
Delivery & Client Management
- Manage multi-service engagements involving catastrophe modelling, exposure management, data engineering, and analytics.
- Oversee delivery for one of the largest cat team supporting multiple global insurance clients, focusing on consistent service standards and client satisfaction.
- 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.
- Participate in conferences, webinars, and client forums to contribute to industry discussions.
- Provide publications and insights on topics such as GenAI, embedded analytics, and data modernization.
Capability & Operations Leadership
- Define and implement the CAT and exposure analytics strategy to align with company growth and market trends.
- Promote a culture of experimentation and hypothesis-driven solutions within analytics teams.
- Establish centers 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.
P&L Ownership
- Oversee end-to-end planning, execution, and profitability for business.
- Track revenue, optimize costs, expand margins, and ensure delivery excellence across entire portfolio.
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.
Leadership & Innovation
- 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.
- Publish research to reinforce company's market leadership. Represent the company at forums on resilience, digital transformation, and AI-driven risk analytics.
Talent Development & Knowledge Management
- Establish and scale frameworks 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.
- Promote reuse of best practices, templates, frameworks, and toolkits across the organization.
Skill & Experience:
- Over 18+ years leading global delivery, analytics, and technology teams in P&C insurance.
- 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 account growth of 40%+ YoY.
- Develops proprietary products, platforms, and AI/ML solutions for efficiency.
- Strategic thinker with direct experience in distributed team management, P&L oversight, automation, and innovation.
Qualification:
- Master’s degree in Mathematics, Statistics, Actuarial Science, Financial Management, or a related field required; advanced degrees (specialization or Ph.D.) preferred.
- At least 15 years of experience in catastrophe modelling, exposure management, or similar roles.
- Proficient with modelling software such as RMS, AIR, or equivalents.
- Strong analytical and problem-solving skills with attention to detail.
- Demonstrated leadership ability to guide teams toward objectives.
- Excellent communicator, able to explain complex topics simply.
- Preferred background in insurance, reinsurance, or financial services.
- Professional certifications like CPCU, ACAS, or FCAS are advantageous.
If interested share your cv at aishwarya@beanhr.com
