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Client Engagement Leader-Data & AI

exl Service.com (India) Private Limited
Pennsylvania, USA
Full-time
Senior · 10+ years experience
Hybrid
Discovered 2 weeks ago
aws

Full Job Posting

Qualifications

  • 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.

Responsibilities

  • 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.

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