Assistant Vice President Data Science

Assistant Vice President – Data Science, Insurance Analytics

Location: Gurugram / Delhi NCR, India | Experience: Senior Leadership (10–18 years)

About the Company

EXL (NASDAQ: EXLS) is a leading operations management and analytics company helping businesses improve growth, profitability, customer experience, risk management, and compliance amid continuous disruption. Its proprietary methodologies combine advanced analytics, data management, digital, consulting, industry practices, BPO, and technology platforms to improve global operations and decision-making. EXL serves insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics, retail, and e-commerce organizations. With more than 60,000 professionals across the United States, Europe, Asia, Latin America, Australia, and South Africa, EXL brings global scale with deep industry expertise. EXL Analytics delivers data-driven, action-oriented solutions through statistical data mining, predictive modeling, data engineering, and consultative problem solving. Its global analytics community of nearly 2,000 data scientists and analysts supports complex risk minimization, pricing, marketing, CRM, cost optimization, and resource planning initiatives. The team works closely with clients to embed analytics into business processes and produce measurable outcomes.

About the Role

As Assistant Vice President – Data Science, Insurance Analytics, you will own the delivery and expansion of analytics engagements for insurance clients, with particular relevance to life insurance. You will connect business priorities with data science, machine learning, data engineering, visualization, reporting, and automation solutions that improve decisions, efficiency, risk management, and client value. The role combines senior client leadership, domain expertise, technical direction, delivery governance, and team management. You will work with stakeholders across client and EXL teams, identify growth opportunities, diagnose process inefficiencies, and ensure solutions move from concept to dependable implementation. You will lead distributed and dual-shore teams, manage offshore talent development, and maintain accountability for quality, timelines, issue resolution, and measurable outcomes. This opportunity is intended for professionals who can join immediately or within a maximum one-month notice period.

Key Responsibilities

• Own project delivery across insurance analytics engagements, establishing governance, tracking daily progress, resolving risks, and ensuring deliverables meet agreed timelines, quality standards, and measurable client outcomes.
• Build trusted-advisor relationships with client stakeholders, lead recurring status meetings and working sessions, and identify new opportunities that expand EXL’s analytics impact across the insurance value chain.
• Provide technical direction across data modeling, data manipulation, predictive modeling, visualization, reporting, automation, and AI or machine learning initiatives using scalable engineering and analytics practices.
• Serve as the functional and insurance-domain expert, translating business pain points into practical analytical solutions that improve decision quality, process efficiency, customer outcomes, risk management, or profitability.
• Lead dual-shore analytics teams, coordinating delivery responsibilities, communication, dependencies, and issue resolution across geographies while maintaining consistent execution and stakeholder confidence.
• Own people leadership for offshore staff, including coaching, career management, capability building, training, recruiting, performance development, and succession planning for high-performing analytics teams.
• Diagnose inefficiencies in current processes, facilitate structured root-cause analysis, and convert insights into implemented improvements supported by clear adoption, performance, and business-impact measures.

Essential Skills & Technologies

• Deep insurance-domain experience, preferably across life insurance, with 10–18 years in core analytics, data science, predictive modeling, consulting, implementation, and direct client management.
• Strong hands-on proficiency in Python, SQL, statistical and machine learning techniques, data modeling, data manipulation, Power BI, and Tableau for production-oriented analytics and executive reporting.
• Experience with Oracle and Oracle Cloud Infrastructure is mandatory, alongside cloud data storage and engineering platforms such as Snowflake, Amazon S3, or Azure Data Lake Storage Gen2.

Additional Plus

• Experience delivering GenAI, ML-AI model development, automation, reporting, or data engineering solutions across multiple stages of the insurance value chain.
• Exposure to large-scale consulting or implementation programs involving global stakeholders, complex operating models, and measurable transformation outcomes.
• Experience working with cross-cultural, international client teams and managing dual-shore delivery models in fast-changing environments.

What You'll Bring

You will bring 10–18 years of progressive experience in core analytics and data science, with substantial exposure to insurance and preferably life insurance clients. You should combine strong technical depth with the judgment to shape solutions, challenge assumptions, and connect analytical work to business outcomes. Your experience should include Python, SQL, predictive modeling, data engineering, visualization, reporting, automation, Power BI, and cloud data platforms, with mandatory exposure to Oracle and Oracle Cloud Infrastructure. You will be comfortable leading client conversations, facilitating working sessions, managing delivery governance, and acting as a trusted advisor to senior stakeholders. You should have a proven record of managing analytics teams, including offshore career development, coaching, training, recruiting, and performance management. Strong written and verbal communication, structured problem solving, initiative, and an entrepreneurial hands-on approach are essential. You must be able to work across cultures and geographies in a continuously evolving environment. Candidates should be immediate joiners or have a notice period of no more than one month.

Why Join Us

• Lead high-impact data science and analytics programs for insurance clients, influencing business decisions across risk, pricing, customer, operations, and profitability agendas.
• Work alongside experienced analytics consultants and a global community of data scientists, gaining exposure to complex business problems, advanced methods, and international client environments.
• Build a broader leadership platform through client ownership, technical direction, delivery accountability, and the development of high-performing analytics talent.

What We Offer

• A fast-paced, innovative environment where analytics professionals directly influence business decisions and deliver measurable value for global clients.
• Exposure to experienced analytics consultants, diverse industries, international engagements, and complex insurance transformation opportunities that broaden commercial and technical perspective.
• Structured investment in training, leading analytics tools, mentoring, coaching, teamwork, and time-management capabilities to support sustained professional growth.
• A leadership environment where strong performance, initiative, and entrepreneurial problem solving can create significant opportunities for advancement within EXL Analytics and beyond.