EXL is a business consulting and services company that helps organizations use data, analytics, and technology to improve operations and make better decisions. Its work includes operations management, decision analytics, and digital transformation, with experience supporting clients in healthcare, insurance, finance, and logistics. EXL combines data science with practical business expertise to develop solutions tailored to each organization’s goals, operating model, and industry context.
Senior Insurance Data and AI Client Engagement Leader, Hybrid United States
Advise insurance clients on data and AI transformation while shaping cloud-enabled analytics strategies. Lead roadmaps, proposals, delivery governance, and team development across complex engagements.
Description
- Advise senior insurance leaders on data, analytics, and AI strategy
- Shape and execute client roadmaps covering transformation, operating models, and delivery priorities
- Run discovery sessions to assess business needs, identify gaps, and design scalable data solutions
- Build client relationships, uncover expansion opportunities, and coordinate with EXL stakeholders
- Create proposals, solution designs, and RFP submissions with subject-matter experts, technologists, and alliance partners
- Manage projects, clients, and teams end to end, maintaining delivery timelines, resolving issues, and upholding quality
- Guide initiatives involving AI, data management, analytics, visualization, automation, and data science across insurance
- Apply industry standards, DataOps practices, and cloud data architectures throughout engagements
- Improve outcomes through root-cause analysis, process refinement, and innovative solution development
- Develop team capability by promoting learning, research, innovation, and adoption of emerging technology and industry developments
Requirements
- Bachelor’s or master’s degree in economics, mathematics, computer science, engineering, operations research, analytics, or a related discipline; strong BA or BS candidates from top-tier institutions are also encouraged to apply
- At least 10 years of data and analytics consulting experience in a professional or management consulting firm, with substantial insurance industry exposure
- Background delivering dual-shore engagements
- Experience leading large programs, including an Insurance Analytics Center of Excellence, while managing multiple client relationships
- Track record across the analytics lifecycle, spanning data, AI, automation, predictive modeling, business consulting, and delivery
- Experience conducting competitor reviews and on-demand data analysis
- Ability to apply first-principles reasoning to complex business challenges
- Deep knowledge of AWS services, modern data architecture, governance, and emerging AI practices
- Working knowledge of current market tools and technologies
- Evidence of strong achievement, analytical judgment, and a practical entrepreneurial mindset
- Excellent written and spoken communication skills
- Comfort operating in a fast-moving, evolving environment and handling demanding assignments