AI Operations Specialist

Marsh McLennan•New York, NY

3d•Hybrid

About The Position

Guy Carpenter is seeking an AI Operations Specialist to join Marsh Re Operations / Operational Change. The role is based in New York or Chicago and follows a hybrid schedule, with at least three days per week in the office. The successful candidate will drive AI solutions across reinsurance operations, helping shape and execute AI strategy and process redesign. This includes identifying opportunities, designing solutions, and delivering production-grade AI capabilities that create measurable business value. The specialist will work across reinsurance broking operations and partner with teams in Broking, Distribution, Analytics, CSS/Operations, and IT. The role spans generative AI delivery from ideation through production, communicating technical concepts to business stakeholders, promoting responsible AI and governance practices, and supporting adoption through change management and capability-building initiatives.

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, including LLMs, prompt engineering, and RAG, with hands-on implementation experience.
Familiarity with MLOps practices and tools.
Proven record of 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 the ability to build consensus and drive change with senior leaders.

Nice To Haves

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 such as RMS, AIR, or CoreLogic.
An advanced degree (Master’s or PhD) and/or relevant professional certifications in AI/ML, product management, or insurance qualifications such as ACAS, FCAS, or CII.

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 in partnership with Broking, Distribution, Analytics, CSS/Operations, and IT.
Coordinate cross-functional teams to deliver generative AI solutions from ideation through production, supporting strong execution discipline and adoption.
Translate technical concepts such as LLMs, prompt engineering, RAG, and MLOps into clear business value propositions and narratives for stakeholders and leaders.
Establish and promote AI lifecycle best practices, 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.