Insurance Client Engagement Lead

EXL

. Serve as the primary point of contact for key P&C insurance clients and manage client relationships .

Posted 10/26/2026full-timeJersey City • New Jersey • United StatesSenior💰 $150,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics and AI solutions within the Property & Casualty insurance domain, focusing on strategic initiatives, client relationship management, and innovative data-driven decision-making. Proficient in delivering actionable insights through advanced data modeling, visualization, and performance reporting.

Highest-signal resume keywords

Data Analytics ExpertiseProperty & Casualty Insurance KnowledgeSQL ProficiencyPower BI ProficiencyGenerative AI Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData VisualizationAI AlgorithmsMachine LearningData-Driven Decision-MakingAdvanced Data AnalyticsStatistical AnalysisPerformance ReportingClient Relationship ManagementStrategic Initiative Development

Soft Skills

Strategic ThinkingTeam ManagementStakeholder CommunicationProblem SolvingInnovation

Tools & Technologies

Power BISQLSASGenerative AIData Processing Tools

Industry Keywords

Property & Casualty InsuranceInsurance AnalyticsConsulting ExperienceRFP ResponsesOperational Efficiency

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Serve as the primary point of contact for key P&C insurance clients and manage client relationships
Lead strategic initiatives and roadmap development for analytics, AI, and digital transformation projects
Oversee advanced data analytics and AI solutions addressing complex insurance challenges
Ensure timely delivery of P&C insurance data models, AI algorithms, dashboards, and reporting tools
Act as a trusted advisor and manage stakeholder communication and expectations
Identify opportunities to expand services to existing clients and support proposals, RFP responses, and new business initiatives
Identify and mitigate project risks and issues
Monitor trends in P&C insurance, data analytics, and AI to drive innovation and best practices
Identify insurance client pain points, emerging trends, and analytics solutions that improve operational efficiency and competitive advantage
Use SQL, Power BI, SAS, and Generative AI to extract insights and build data solutions
Guide teams in data processing, modeling, and visualization best practices
Develop innovative analytics solutions for underwriting, claims, and pricing strategies
Design and deliver performance dashboards, reports, and presentations translating complex data into actionable insights
Oversee organizational digital analytics, lead high-impact initiatives, ensure alignment with organizational goals, and provide executive guidance

Requirements

What you’ll need

Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field
10–15 years of experience in data analytics, with a strong focus on insurance analytics
Expertise in the Property & Casualty (P&C) domain strongly preferred
Proficiency in SQL, Power BI, and SAS
Experience with Generative AI and other advanced data analytics tools
Strong skills in data modeling, visualization, and data-driven decision-making
Proven experience managing and developing high-performance teams
Ability to think strategically, analyze complex data, and provide innovative solutions to meet client objectives
Familiarity with machine learning and AI algorithms relevant to the insurance domain
Experience in consulting or with a professional services firm is an advantage
Exposure to Python and R is a plus