Leads insurance-focused data and AI consulting engagements, advising senior stakeholders on transformation roadmaps, operating models, and scalable solutions. Owns client discovery, proposals, RFP responses, solution design, project delivery, team management, and growth opportunities. Provides technical guidance across analytics, AI, automation, DataOps, cloud platforms, governance, and data architecture while driving process improvement, innovation, and knowledge development.
- 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
Similar Jobs
Information Technology • Database • Consulting
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.
Top Skills:
AIAnalyticsAutomationAWSData GovernanceData ScienceData VisualizationDataopsModern Data ArchitecturePredictive Modeling
Fintech • Machine Learning • Payments • Software • Financial Services
Build and lead full-stack software engineering projects using microservices, cloud platforms, databases, APIs, and modern development frameworks. Provide technical leadership across Agile teams, mentor engineers, establish coding standards, partner with architects and product managers, improve system performance, reduce technical debt, and shape long-term technology strategy. The role focuses on delivering scalable, robust solutions in a remote-eligible environment.
Top Skills:
Ai Coding ToolsAPIsAutomated Testing FrameworksAWSAzureBitbucketC#Ci/CdDockerFront-End Javascript FrameworksGCPGitGitGoIde CopilotsInfrastructure As CodeJavaJavaScriptKubernetesNode.jsNoSQLObservability ToolsOpen Source FrameworksPythonRdbmsRustScalaTypescript
Fintech • Machine Learning • Payments • Software • Financial Services
Leads and mentors a technical writing team while defining documentation strategy, information architecture, standards, and tooling. Creates and oversees customer-facing documentation for APIs, SDKs, integrations, and software products. Partners with Engineering, Product, Support, and architects to integrate documentation into the SDLC, maintain Docs-as-Code workflows, improve content usability and searchability, and prioritize work using metrics. Requires extensive software documentation and people management experience.
Top Skills:
APIsCi/CdConfluenceGitGitbookHugoLlm OptimizationMarkdownSdksSeo
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
