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.
- 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.
- 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.
- 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
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
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- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
