Oliver Wyman - Regional AI Product Enablement Analyst

Job ID: R_359871Company: Oliver Wyman GroupLocation: New York, United States of America | Chicago, Illinois, United States of America | Boston, Massachusetts, United States of AmericaEmployment type: RegularCategory: Facilities & Business ServicesIndustry: Real EstatePosted: 2026-09-08

About Oliver Wyman

At Oliver Wyman, a Marsh (NYSE: MRSH) business, we bring deep industry insight, bold innovation, and a collaborative approach that cuts through complexity to help organizations navigate their most defining transformative moments.

As a business of Marsh, we work alongside the world’s leading experts across risk, reinsurance and capital, people and investments, and management consulting. Together with Marsh Risk, Guy Carpenter, and Mercer, we help organizations build resilience and competitive advantages from every angle. With annual revenue over $24 billion and more than 90,000 colleagues in 130 countries, Marsh helps build the confidence to thrive through the power of perspective. 

For more information, visit  oliverwyman.com , or follow us on  LinkedIn  and  X .    

Job Overview:

The Quotient Inside   Regional   AI Product Enablement   Analyst   supports the AI Capability & Adoption function through structured AI experimentation, prompt engineering, workflow testing, and enablement support. This role focuses on reliable execution, technical fluency, and consistent knowledge capture while developing deeper   expertise   in AI tools and workflows   for the Oliver Wyman Center of Excellence for Quotient Inside   Americas .  

Working under the direction of the   Quotient Inside Product Strategy leadership team and Director of AI Product Enablement , the   Analyst   contributes to coaching support, prompt refinement, custom GPT testing, and artifact creation that help scale responsible AI usage   and adoption   across the firm.  

This is a hands-on contributor role that emphasizes experimentation, documentation, and quality delivery.  

Please Note: Oliver Wyman/Marsh operates a hybrid working policy of 60% in-office attendance

Key responsibilities :

AI Experimentation & Prompt Engineering  

• Execute structured prompt testing and refinement across defined AI use cases   the Centre of Excellence may own and manage

• Support configuration and testing of custom GPTs and AI assistants   for the Center of Excellence  

• Validate outputs for clarity, consistency, safety, and usability  

Workflow Prototyping & Technical Support  

• Assist   in prototyping lightweight AI workflows under guidance  

• Identify   basic technical constraints and escalate appropriately  

• Support experimentation across AI tools to assess feasibility and usage boundaries  ​

Documentation & Living Exemplars  

• Build and   maintain   prompt libraries, living exemplars, and structured guides   for the Centre of Excellence  

• Document tested use cases in reusable formats  

• Contribute technical examples and demos to training and enablement materials  

Coaching Support & Community Engagement  

• ​ Support office hours and working sessions  

• Help translate user questions into structured AI prompts   or Product Strategy team actions and backlog items  

• Guide colleagues toward   appropriate resources   and exemplars  

• Support AI coaching and respond to inbound questions  

Pattern Awareness & Feedback  

• Track recurring questions and usage patterns  

• Share structured observations with the AI   Product Strategy team leads  

• Contribute technical input to decks and enablement documentation  

Experience Required:

• 2–5 years of experience in analytics, digital enablement, or technology-adjacent roles  

• Exposure to AI tools and interest in experimentation  

• Experience supporting documentation or analysis work   in collaborative, cross functional environments  

Skills & Attributes:

• AI tool fluency and prompt experimentation  

• Comfortable operating   within   defined processes  

• Curious and experimentation driven  

• Detail-oriented and reliable in execution  

• Analytical mindset and attention to detail  

• Clear written communication  

• Strong learning orientation  

The applicable base salary range for this role is $95,000 to $130,000.

The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.

We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs.

Oliver Wyman is a business of Marsh (NYSE: MRSH), 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 oliverwyman.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 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.