Marsh McLennan

AI Operations Specialist

Marsh McLennan$120K — $145K *
Finance & Insurance
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8-10 years of experience in process re-engineering, data science, AI/ML, product management, or operations consulting.
  • Deep technical expertise in machine learning and generative AI, with hands-on implementation experience.
  • Proven track record in translating business problems into AI use cases within financial services or insurance.
  • Exceptional stakeholder management and communication skills capable of driving change with senior leaders.

Responsibilities

  • Identify and champion high-impact AI use cases within reinsurance operations.
  • Execute AI strategy in collaboration with cross-functional teams to deliver successful outcomes.
  • Coordinate teams to develop generative AI solutions from ideation to production.
  • Translate complex AI concepts into business value propositions for key stakeholders.
  • Establish best practices for AI lifecycle management and responsible AI principles.
  • Drive change management initiatives and create resources for community and knowledge sharing.

Benefits

  • Professional development opportunities and engaging work with supportive leaders.
  • A vibrant and inclusive culture emphasizing collaboration and creativity.
  • Access to a range of career opportunities, benefits, and wellness programs.
Full Job Description

We are seeking a talented individual to join ourGuy Carpenter Operations / Operational Changeteam atGuy Carpenter. This role will be based inNew 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 Carpenter9s 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:

  • 8 610 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 (Master9s/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.

About Marsh McLennan

Marsh McLennan Careers

Join the exceptional team at Marsh McLennan, a global leader in professional services, offering unparalleled job opportunities in insurance, risk management, and consultancy. As the company propels forward, it invites dedicated professionals to contribute to a culture of innovation, leadership, and growth.

Work You’ll Do

At Marsh McLennan, you will engage with complex challenges that push the boundaries of your skills and knowledge. Our team thrives on diversity and the shared goal of delivering impactful solutions to our clients worldwide. By joining us, you will be part of a culture that values diversity training and leadership development, ensuring every team member is equipped for success.

Explore Professional Growth

Marsh McLennan is committed to the professional growth of its employees. Whether you are seeking a position that offers a path to leadership or looking for robust internship programs to kickstart your career, Marsh McLennan provides the resources and global platform to propel your ambitions into achievements. Our benefits package is designed to support the well-being and continuous professional development of all staff, from entry-level to senior leadership roles.

Innovative Work Environment

Our company is at the forefront of industry innovation. The collaboration between experienced professionals and fresh talent generates dynamic solutions that keep Marsh McLennan at the cutting edge of the industry. Our team is encouraged to lead with creativity and embrace new ideas, driving the company’s legacy of pioneering industry-first solutions.

Join Our Team

Marsh McLennan is hiring! Explore the multitude of job opportunities on our careers page, from strategic advisory roles to operational excellence positions. We look for passionate, curious, and solution-driven team players. Enhance your career with Marsh McLennan, where your skills will be honed through challenging projects and high-impact strategies.

Networking and Career Advancement

Networking at Marsh McLennan opens doors to enriching connections and countless opportunities within the industry. Our professionals benefit from an environment that fosters networking through events, professional groups, and collaborative projects. With Marsh McLennan, career advancement is not just a possibility—it is an expectation.

Prepare for Your Interview

Ready to apply? Make sure your resume highlights your most relevant experiences and skills tailored to the position you are applying for. Our interview process is designed to understand your capabilities and fit with our team’s goals and values. Prepare to discuss how your background, experiences, and professional aspirations align with the opportunities at Marsh McLennan.

Stay Connected

Keep up to date with the latest from Marsh McLennan: - **Career Insights**: Gain insider perspectives and industry-leading insights through our careers blog. - **Job Alert Emails**: Personalize your subscription to receive job alerts and the latest news tailored to your preferences. Discover the rewarding career opportunities awaiting at Marsh McLennan, where your professional journey is just the beginning. Join us in shaping a future defined by insight, integrity, and innovation.
Learn more about Marsh McLennan
Size
83,000 employees
Market Cap
$82.6 billion
Industry
Net Income
$2 billion
Founded
1914
5 Year Trend
+8.5%
Revenue
$17.2 billion
NASDAQ

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