Client Engagement Leader-Data & AI

Posted 23 Days Ago
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Hiring Remotely in United States
Remote or Hybrid
Expert/Leader
Information Technology • Database • Consulting
The Role
Lead client engagements in insurance data, analytics, and AI: define roadmaps, run discovery sessions, design solutions, manage delivery and teams, develop proposals, and ensure DataOps, cloud (AWS), governance, and best practices across AI and analytics initiatives.
Summary Generated by Built In
  • 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.
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.
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.

Hybrid: Erie, PA 

Skills Required

  • Bachelor's or Master's degree in economics, mathematics, computer science/engineering, operations research, or related analytics field
  • 10+ years of data and analytics consulting experience with strong focus in insurance industry
  • Experience working in dual-shore engagements and managing large programs (Insurance Analytics CoE and multiple clients)
  • Proven delivery across analytics value chain: data, AI, automation, predictive modeling, business consulting and delivery assignments
  • Competitor analysis, ad-hoc data analysis, and first-principles problem solving
  • Demonstrated experience with Cloud Services (AWS), modern data architecture, data governance, and trending AI practices
  • Strong analytical ability, entrepreneurial hands-on approach, and record of achievement
  • Outstanding written and verbal communication skills
  • Ability to work in a fast-paced, continuously evolving environment
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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

What We Do

Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.

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