AI Operations Specialist

About the role

This strategic, execution-focused colleague will drive AI solutions across Guy Carpenter's reinsurance operations. You will be at the forefront of AI-driven process reengineering, helping shape and execute AI strategy and process redesign across the organization. The successful candidate will identify opportunities, design solutions, and deliver production-grade AI capabilities that create measurable business value. This role will be based in New York or Chicago and is hybrid, requiring at least three days a week in the office.

Responsibilities

• Identify, prioritize, and champion high-impact AI use cases across the reinsurance value chain, translating operational pain points into scalable AI opportunities
• Execute AI strategy for reinsurance broking operations, partnering across Broking, Distribution, Analytics, CSS/Operations, and IT to deliver outcomes
• Coordinate cross-functional teams to deliver generative AI solutions from ideation through production, ensuring strong execution discipline and adoption
• Translate complex technical concepts (e.g., LLMs, prompt engineering, RAG, MLOps) into clear business value propositions and compelling narratives for stakeholders and leaders
• Establish and promote best practices across the AI lifecycle, including responsible AI principles, governance, and model risk considerations
• Drive change management and capability-building initiatives, including training materials, knowledge resources, and communities of practice to accelerate adoption and impact

Requirements

• 8–10 years of experience in process re-engineering, data science, AI/ML, product management, strategy, operations consulting, or related experience
• Deep technical expertise in machine learning and generative AI (LLMs, prompt engineering, RAG) with hands-on implementation experience, plus familiarity with MLOps practices and tools
• Proven track record translating business problems into AI use cases and delivering measurable value in financial services, insurance, or reinsurance
• Exceptional stakeholder management, influencing, and communication skills, including ability to build consensus and drive change with senior leaders

Preferred qualifications

• Product management experience defining product vision, managing roadmaps, prioritizing features, and launching successful solutions with strong execution delivery
• Experience implementing AI solutions for (re)insurance workflows, including familiarity with reinsurance analytics tools and/or catastrophe modeling platforms (RMS, AIR, CoreLogic)
• Advanced degree (Master's/PhD) and/or relevant professional certifications in AI/ML, product management, or insurance qualifications (e.g., ACAS, FCAS, CII)