Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
EXL

Client Engagement Leader – Data & AI

EXL

. Act as a subject matter expert in insurance data, analytics, and AI, providing strategic and tactical advisory support to senior business leaders .

Posted 10/5/2026full-timePennsylvania • United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in insurance data, analytics, and AI, with a strong focus on delivering strategic data solutions and managing large-scale programs. Proven ability to foster client relationships, drive continuous improvement, and apply industry best practices in data management and analytics.

Highest-signal resume keywords
Data And Analytics ConsultingInsurance Industry ExpertiseAWS Cloud ServicesPredictive ModelingProject Management

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data ManagementAI ImplementationAutomationPredictive ModelingBusiness ConsultingData VisualizationDataOps StandardsEmerging AI PracticesSolution ArchitectureCompetitor Analysis
Soft Skills
Outstanding Communication SkillsAnalytical AbilityProblem DiagnosisTeam ManagementInnovation Encouragement
Tools & Technologies
Modern Data ArchitectureCloud-Based Data SolutionsData Analytics ToolsVisualization ToolsAutomation Tools
Industry Keywords
Insurance AnalyticsDual-Shore EngagementsContinuous ImprovementProcess OptimizationEmerging Technologies

Tech Stack

Tools & technologies
AWSCloud

About the role

Key responsibilities & impact
  • 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 with client stakeholders and internal EXL teams to build relationships, identify growth opportunities, and expand engagements
  • Develop business proposals, solution architectures, and RFP responses with SMEs, technologists, and strategic alliance partners
  • Own end-to-end project, client, and team management, ensuring timely delivery, issue resolution, and 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 applied across engagements
  • Drive continuous improvement through problem diagnosis, process optimization, and innovative solution design
  • Foster a learning culture within the team, encouraging innovation, research, and adoption of emerging technologies and industry trends

Requirements

What you’ll need
  • 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 top-tier academic institutions are also welcome to apply
  • 10+ years of data and analytics consulting experience from a professional or management firm, with a strong focus on the insurance industry
  • Experience working in dual-shore engagements
  • Experience managing large programs, including an Insurance Analytics CoE, and multiple clients directly
  • Demonstrated experience across the analytics value chain, including data, AI, automation, predictive modeling, business consulting, and delivery assignments
  • Experience with competitor analysis and ad-hoc data analysis
  • Application of first-principles thinking to solve business problems
  • Complete understanding and demonstrated experience of AWS cloud services, modern data architecture, governance, and emerging AI practices
  • Strong grasp of the latest tools in the market
  • Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach
  • Outstanding written and verbal communication skills
  • Ability to work in a fast-paced, continuously evolving environment and take on challenging assignments