Client Engagement Leader-Data & AI

• Act as a subject matter expert in Insurance data, analytics, and AI, providing strategic and tactical advisory support to senior business leaders.
• Partner with clients to define and deliver data and AI roadmaps, including transformation initiatives, target operating models, and execution priorities.
• Lead client discovery and working sessions to understand business needs, diagnose gaps, and recommend scalable, value-driven data solutions.
• Collaborate closely with client stakeholders and internal EXL teams to build strong relationships, identify growth opportunities, and expand engagements.
• Develop business proposals, solution architectures, and RFP responses by working with SMEs, technologists, and strategic alliance partners.
• Own end-to-end project, client, and team management, ensuring timely delivery, issue resolution, and adherence to quality standards.
• Provide technical guidance across AI, data management, analytics, visualization, automation, and data science initiatives across the insurance value chain.
• Ensure industry best practices, DataOps standards, and cloud-based data solutions are consistently applied across engagements.
• Drive continuous improvement through problem diagnosis, process optimization, and innovative solution design.
• Foster a strong learning culture within the team, encouraging innovation, research, and adoption of emerging technologies and industry trends.
• Act as a subject matter expert in Insurance data, analytics, and AI, providing strategic and tactical advisory support to senior business leaders.
• Partner with clients to define and deliver data and AI roadmaps, including transformation initiatives, target operating models, and execution priorities.
• Lead client discovery and working sessions to understand business needs, diagnose gaps, and recommend scalable, value-driven data solutions.
• Collaborate closely with client stakeholders and internal EXL teams to build strong relationships, identify growth opportunities, and expand engagements.
• Develop business proposals, solution architectures, and RFP responses by working with SMEs, technologists, and strategic alliance partners.
• Own end-to-end project, client, and team management, ensuring timely delivery, issue resolution, and adherence to quality standards.
• Provide technical guidance across AI, data management, analytics, visualization, automation, and data science initiatives across the insurance value chain.
• Ensure industry best practices, DataOps standards, and cloud-based data solutions are consistently applied across engagements.
• Drive continuous improvement through problem diagnosis, process optimization, and innovative solution design.
• Foster a strong learning culture within the team, encouraging innovation, research, and adoption of emerging technologies and industry trends.
• Bachelor’s/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.
• 10+ years of data and analytics consulting experience from a professional or management firm and has strong focus in insurance industry.
• Experience in working in dual shore engagement and must have experience in managing large programs – Insurance Analytics CoE and multiple clients directly.
• Demonstrated experience across analytics value chain and has delivered multiple data, AI, Automation, Predictive modeling, Business consulting and delivery assignments.
• Competitor analysis, Ad-hoc data analysis and application of First principles thinking approach to solve business problems.
• Complete understanding and demonstrated experience of Cloud Services (AWS), modern data architecture, governance, and trending practices in AI. Strong grasp of the latest tools within the market.
• Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work
• Outstanding written and verbal communication skills
• Able to work in fast pace continuously evolving environment and ready to take up uphill challenges.

Hybrid: Erie, PA