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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.
AI Delivery Lead – P&C Insurance | EXL, Jersey City Hybrid
Lead enterprise Agentic AI, Generative AI, data modernization, and AWS platform delivery for Property & Casualty insurance. Build secure, production-ready solutions that transform insurance operations.
United States
New Jersey$170,000 – $200,000 / year
HybridFull-timeSeniorEnglish RequiredArtificial IntelligenceDescription
- Own end-to-end delivery of Agentic AI and Generative AI programs, from discovery and solution design through deployment, adoption, and production support.
- Design and govern autonomous and multi-agent systems using large language models, retrieval-augmented generation, reasoning workflows, integrated tools, and orchestration frameworks.
- Set AI transformation roadmaps, delivery plans, success measures, governance practices, risk controls, and reusable accelerators.
- Advance responsible AI through security, privacy, explainability, human oversight, hallucination mitigation, and regulatory compliance.
- Lead legacy-to-cloud data modernization, migration, platform consolidation, and enterprise data transformation initiatives.
- Implement capabilities for data governance, quality, metadata, master data, lineage, and lifecycle management.
- Oversee modernization of data lakes, warehouses, lakehouse platforms, analytics environments, and real-time processing systems.
- Establish DataOps practices, reusable ingestion and transformation frameworks, and consistent ETL/ELT delivery patterns.
- Provide technical direction for AWS-native data and AI platforms.
- Guide architecture across data engineering, APIs, microservices, event-driven integration, containers, infrastructure as code, and cloud security.
- Implement CI/CD, DevOps, MLOps, observability, reliability, performance, and cost-management practices.
- Lead globally distributed teams spanning AI engineering, data engineering, data science, architecture, product, analysis, QA, DevOps, and domain expertise.
- Manage program planning, estimates, budgets, staffing, governance, dependencies, risk mitigation, and executive reporting.
- Run business and technology workshops to uncover high-value AI and data modernization opportunities.
- Present roadmaps, architecture choices, delivery progress, risks, and business results to senior stakeholders and clients.
- Mentor teams while promoting engineering quality, delivery rigor, innovation, and reusable solution patterns.
- Work with P&C insurance teams to identify opportunities for AI-led transformation.
- Direct initiatives in underwriting automation, claims intelligence, fraud detection, pricing analytics, risk insights, and customer service.
- Ensure delivery aligns with insurance data standards, governance expectations, privacy obligations, and regulatory controls.
Requirements
- Bring 12 or more years of experience in data and analytics, AI/ML, cloud transformation, enterprise architecture, or digital transformation.
- Have at least five years leading large-scale data modernization, data management, cloud, AI, or analytics programs.
- Demonstrate successful production delivery of enterprise AI, Generative AI, or Agentic AI solutions.
- Show strong leadership across globally distributed, cross-functional delivery teams.
- Understand modern data architecture, data engineering, cloud-native design, APIs, security, DevOps, DataOps, and MLOps in practice.
- Offer strong executive communication, client management, solution design, estimation, governance, and risk management capabilities.
- Bring Property & Casualty insurance experience involving policy, claims, underwriting, actuarial, billing, risk, or insurance data ecosystems.
- Have led data migration, data management, or platform modernization programs for insurance organizations.
- Be familiar with Guidewire, Duck Creek, or comparable insurance core platforms.
- Understand AI governance, model risk management, responsible AI, and regulated enterprise environments.
- Hold PMP, SAFe, Scrum, AWS Solutions Architect, AWS Data Engineer, AWS Machine Learning, or another relevant AI or data certification.
- Demonstrate business value realization and outcome measurement.
Benefits
- Benefits information is provided through EXL’s careers and benefits page.
- Compensation may exceed the posted range in higher-cost locations, including California, New York, and New Jersey.
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