Analytics Technical Lead - Insurance

Role & Responsibilities Overview:

• Expected to work in close collaboration with the Client team on establishing relationship with stakeholders, identify new opportunities, areas of growth
• Provide Project, Client & Team Management and Monitor progress of deliverables on daily basis and ensures timely resolution of any issues
• Facilitate seamless flow of communication from top to bottom and the other way around for seamless execution of projects
• Manage cross-functional team of resources
• Actively seeks ways of improving current methods, systems, processes and structures
• Ensure Industry best practices are followed, Communicate and follow up with delivery team
• Brainstorming on pain areas/Identifying reasons for issues/Issue Resolution, diagnosis of inefficiencies in the current process and figuring out ways to resolve it
• Provide technical direction to project team members across data modeling, data manipulation, visualization, predictive modeling, Reporting and Automation projects across Insurance Value Chain
• Develop long-lasting, trusted advisor relationships with clients across Insurance functions
• Manage the program governance framework
• Strategically align the business vision and objectives to the projects initiated in different teams
• Build thorough understanding of clients brand, business, customers and competitive landscape and provide strategic guidance in building requisite project management initiatives
• Facilitate client working sessions and lead recurring project status meetings
• Manage day-to-day project operations, serve as the functional and domain expert on the project team to ensure that they meet client expectations

Candidate Profile:

• Bachelors/Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply
• 9-11 years Core Analytics experience with prior Consulting/Implementation Experience preferably with Insurance Clients (P&C /L&A / Health)
• Extensive experience in Pricing /Product Analytics (Pricing model development, maintenance, modernization)
• Experience in working in dual shore engagement and must have experience in managing clients directly
• Competitor analysis , Adhoc data analysis to solve business problems
• Complete understanding and demonstrated experience of Python, R/SAS, SQL, Visualization tools like Power BI/Tableau and various modeling techniques
• Managerial experience in leading analytics teams including career management of offshore staff, training, recruiting
• Demonstrated leadership ability and willingness to take initiative
• Strong record of achievement, solid analytical ability, and an