Engagement Manager Consultant

Job description

As 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 Responsibilities 1. Strategic Leadership & Client Advisory • Trusted 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 Development • P&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 Innovation • GenAI 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 Development • Team 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.