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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 Originally posted on Himalayas