AI Operations Specialist

Guy Carpenter; Chicago (IL); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid work 3 days in office

Job summary

Guy Carpenter is seeking a talented AI strategy and delivery professional to join the Operations / Operational Change team. Based in New York or Chicago, this hybrid role requires in‑office presence at least three days per week.

You will drive AI solutions across reinsurance operations, translating business problems into scalable AI use cases, leading cross‑functional teams, and delivering production‑grade capabilities with measurable value for the organization.

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 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.

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 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.

Skills

Stakeholder management

Communication skills

Machine learning

Generative AI

MLOps

Product management

Strategy

Education

Master’s degree or PhD in AI/ML or related field

Certifications: ACAS, FCAS, CII

Tools

RMS

AIR

CoreLogic

LLMs

Prompt engineering

Job description

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.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X.

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 [e-mail].

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.

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