AI Operations Specialist

Overview We are seeking a talented individual to join the Guy Carpenter Operations / Operational Change team at Guy Carpenter. This role will be based in New York or Chicago and is a hybrid position requiring on‑site presence at least three days a week. 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. Qualifications 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 the 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. Equal Opportunity and Accommodations Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting View email address on click.appcast.io. Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office‑based teams will identify at least one “anchor day” per week on which their full team will be together in person. R_357430 #J-18808-Ljbffr