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.
We will count on you to:
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
What you need to have:
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
What makes you stand out:
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)
Why join our team:
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.
Skills Required
- 8-10 years of experience in process re-engineering, data science, AI/ML, product management, strategy, operations consulting, or related fields
- Deep technical expertise in machine learning and generative AI (LLMs, prompt engineering, RAG) with hands-on implementation experience
- 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
- Based in New York or Chicago and able to work hybrid (at least three days per week in office)
- Product management experience defining product vision, managing roadmaps, prioritizing features, and launching solutions
- Experience with reinsurance workflows and catastrophe modeling platforms (RMS, AIR, CoreLogic)
- Advanced degree (Master's/PhD) or relevant certifications in AI/ML, product management, or insurance (e.g., ACAS, FCAS, CII)
Marsh McLennan Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Marsh McLennan and has not been reviewed or approved by Marsh McLennan.
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Leave & Time Off Breadth — Leave offerings are described as generous, including sizable PTO, paid holidays, paid sick days, and additional time off such as paid volunteer time and “Summer days.” These time-off benefits are portrayed as a standout part of the overall rewards package.
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Healthcare Strength — Healthcare coverage is characterized as comprehensive, spanning medical, dental, and vision options, with additional supports like disability and life insurance and access to mental health resources and an EAP. The breadth of plan options is positioned as a core strength of the benefits package.
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Retirement Support — Retirement benefits are framed as solid, with 401(k) programs and employer matching frequently highlighted alongside other financial programs. Stock purchase options are also referenced as an additional wealth-building component of the total rewards mix.
Marsh McLennan Insights
What We Do
Marsh McLennan (NYSE: MMC) brings together nearly 78,000 experts in risk, strategy, and people across Marsh, Guy Carpenter, Mercer, and Oliver Wyman, serving clients in over 130 countries. Marsh enables enterprise worldwide by helping clients manage risks, transforming uncertainty into opportunity. Guy Carpenter helps clients grow profitably with reinsurance broking expertise, advisory services, and advanced analytics. Mercer helps organizations advance the health, wealth, and careers of their most vital asset — their people. Oliver Wyman’s expertise in strategy, operations, risk, and organization transformation changes what is possible for our clients, their industries, and society. Together, we combine a unique range of capabilities to help our clients solve problems, seize opportunities, and build lasting success in increasingly complex operating environments.







