Role & Responsibilities Overview: We are seeking an accomplished Engagement Manager/Sr Engagement Manager with a solid background working in Insurance Analytics (preferably Property & Casualty insurance) industry: • Serve as the primary interface between senior client management & Internal Leadership Team. • Build & manage client relationships and grow business by offering different Analytics and Actuarial solutions to the client. • Work directly with client leadership and enable translation of business problems into analytics solution. • Experience managing & working on projects related to data engineering, Data Science (DS), & business insights. • Lead blueprinting/assessment exercise for data related interventions. e.g. assessment for SAS to Databricks migration for a functional area within insurance • Provide thought leadership and deliver business insights to identify and resolve complex issues that are critical to the clients success. • Consult clients in insurance business across analytical lifecycle including sales and marketing analytics, customer analytics, claims analytics etc. • Lead entire engagement with project teams of 5 10 members. • Proven ability to collaborate with multiple stakeholders to achieve right project outcomes (Clients, Internal Leadership team, the offshore team) • Play critical role in defining the problem, structuring the solution & executing against it. • Own project execution with on time delivery, ensuring all project goals are met. • Reformulate highly technical information into concise, understandable terms. • Present evaluation, results and recommendations to clients' senior managers and executives. • Actively contribute to business development & help with attracting, hiring, retaining, developing & motivating a team of diverse and qualified staff Candidate Profile: • Masters or Bachelor's degree in Data analytics, Computer Engineering, Math, Statistics, Economics or related analytics field from top-tier universities with strong record of achievement • 10-15 years of experience comprising advanced analytics, AI/ML methodologies, service delivery, consulting, solution design and client management. • Solid understanding of insurance (P&C) domain and analytics concepts (basics of data science, data engineering & business intelligence) • Working knowledge of SQL, Python • Exposure to cloud platforms such as AWS, Azure, GCP is a plus • Excellent listening, written communication, presentation, and interpersonal skills • Good problem-solving skills, keen intellectual curiosity, strong attention to detail and sense of drive