Full-Time

AI Operations Specialist

Updated on 9/12/2026

Marsh & McLennan

Marsh & McLennan

Risk, insurance and business consulting

No salary listed

Company Does Not Provide H1B Sponsorship

Chicago, IL, USA + 1 more

More locations: New York, NY, USA

Hybrid

At least three days per week in the office.

Master's, PhD

Category
Business & Strategy (1)
Required Skills
LLM
Data Science
Product Management
Machine Learning
RAG
Requirements
  • 8–10 years of experience in process re-engineering, data science, artificial intelligence/machine learning, product management, strategy, operations consulting, or related experience.
  • Deep technical expertise in machine learning and generative artificial intelligence, including large language models, prompt engineering, and retrieval-augmented generation, with hands-on implementation experience and familiarity with machine learning operations practices and tools.
  • A proven track record translating business problems into artificial intelligence 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.
Responsibilities
  • Identify, prioritize, and champion high-impact artificial intelligence use cases across the reinsurance value chain, translating operational pain points into scalable artificial intelligence opportunities.
  • Execute artificial intelligence strategy for reinsurance broking operations by partnering across Broking, Distribution, Analytics, CSS/Operations, and Information Technology to deliver outcomes.
  • Coordinate cross-functional teams to deliver generative artificial intelligence solutions from ideation through production, ensuring execution discipline and adoption.
  • Translate complex technical concepts, including large language models, prompt engineering, retrieval-augmented generation, and machine learning operations, into clear business value propositions and compelling narratives for stakeholders and leaders.
  • Establish and promote best practices across the artificial intelligence lifecycle, including responsible artificial intelligence 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.
Desired Qualifications
  • Product management experience defining product vision, managing roadmaps, prioritizing features, and launching successful solutions with strong execution delivery.
  • Experience implementing artificial intelligence solutions for insurance or reinsurance workflows, including familiarity with reinsurance analytics tools and/or catastrophe modeling platforms such as RMS, AIR, and CoreLogic.
  • An advanced degree, specifically a Master's or PhD, and/or relevant professional certifications in artificial intelligence/machine learning, product management, or insurance qualifications such as ACAS, FCAS, or CII.

Marsh, formerly Marsh McLennan, is a global professional services firm focused on risk, insurance, reinsurance, talent and business strategy. Its operating businesses help organizations arrange coverage, model and transfer risk, design workforce programs and address complex management questions. Clients range from growing companies to governments and multinational enterprises. The group combines advisory expertise with insurance-market access and data, making it broader than an insurance broker alone while remaining primarily a business-to-business services organization.

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