Job description
OUR CLIENT
Our client provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting-edge analytics techniques, and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, our client's analytics team takes an industry-specific approach to transform decision-making and embed analytics more deeply into their business processes. They have a global footprint of 2,000+ data scientists and analysts who assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. They serve the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries.
ROLE
We are seeking an accomplished Senior Engagement Manager with a solid background working in Property & Casualty Insurance Analytics industry
ROLES & RESPONSIBILITIES
Serve as the primary interface between senior client management & internal Senior Leadership
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 Science (DS), data engineering & business insights.
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 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 a strong record of achievement
10+ 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, 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
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.