Senior Insurance Lead (AVP/SAVP)

About this role

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