Job Title

Role OverviewAs we navigate 2026, the insurance landscape has shifted from /"Detect and Repair/" to /"Predict and Prevent./" We are seeking a visionary Director of Analytics Consulting to lead our insurance practice in India. This is a high-impact leadership role where you will bridge the gap between complex data science and C-suite insurance strategy.You will drive the adoption of Generative AI (GenAI), Autonomous Underwriting, and Real-time Risk Assessment for our global insurance clients, ensuring data becomes a competitive moat, not just an asset.Key Responsibilities1. Strategic Leadership & Client AdvisoryTrusted Advisor: Serve as the primary strategic consultant for C-suite stakeholders to define their 3-5 year data and AI roadmaps.Industry Thought Leadership: Publish whitepapers and lead webinars on 2026 trends, such as Hyper-personalization, Ethical AI Governance, and IoT-driven /"Connected Insurance./"Value Realization: Shift clients focus from /"model accuracy/" to /"business outcomes/" (e.g., improving Combined Ratio, reducing Churn, or optimizing Customer Lifetime Value).2. Practice Growth & Business DevelopmentP&L Management: Own the revenue and margin targets for the Insurance Analytics consulting unit.Proposal Excellence: Lead large-scale RFP responses, designing complex analytical solutions that integrate with legacy core systems (e.g., Guidewire, Duck Creek).Market Expansion: Identify opportunities to cross-sell advanced analytics services into existing audit or strategy accounts.3. Delivery Excellence & AI InnovationGenAI Integration: Oversee the deployment of LLM-based agents for automated claims processing and /"Co-pilot/" tools for underwriters.Predictive Modelling: Lead teams in developing sophisticated models for usage-based insurance (UBI), fraud detection (using graph analytics), and catastrophic risk modelling.Digital Ethics: Ensure all consulting engagements adhere to the latest AI regulatory frameworks (e.g., EU AI Act, local transparency mandates).4. People & Talent DevelopmentTeam Building: Mentor a multi-disciplinary team of Data Scientists, Analysts, and Data Engineers.Culture: Foster a /"consultant-first/" mindset where technical staff are trained in storytelling, visualization, and insurance business logic.Experience & QualificationsOver 12 years in Analytics/Consulting, with at least 6 years specifically within the Insurance domain.Master’s or PhD in Quantitative Finance, Actuarial Science, Statistics, or MBA from a top-tier school.Deep understanding of the Insurance Value Chain (Underwriting, Claims, Distribution, Actuarial Pricing).Familiarity with Python/R, Cloud stacks (Azure/AWS/GCP), and Modern Data Stacks (Snowflake, Databricks)Proven track record of managing $5M+ portfolios and leading teams of over 20 professionals.