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Drive the execution of AI solutions and process re-engineering across reinsurance operations to create measurable business value. Coordinate cross-functional teams to deliver generative AI capabilities from ideation through production while managing stakeholder narratives.
Requires 8-10 years of experience in AI/ML, data science, or strategy consulting with deep technical expertise in LLMs and RAG. Must have a proven track record of delivering AI use cases within financial services or insurance industries.
We are seeking a talented individual to join our Guy Carpenter Operations / Operational Change team at Guy Carpenter. This role will be based in New York or Chicago. This is a hybrid role that has a requirement of working at least three days a week in the office.
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.
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
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
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)
We help you be your best through professional development opportunities, interesting work and supportive leaders.
We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.
This LinkedIn page is closed. Please follow us at Marsh on LinkedIn.
Offices: 1166 Avenue of the Americas, New York, NY 10036, US
Based on 8817 listings with disclosed salaries, most finance & accounting jobs in New York, NY pay between $80k–$215k per year. Individual offers vary with seniority, company size, and specialization.
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