Marsh McLennanOliver Wyman - Regional AI Product Enablement Analyst
AI in this role
Company:
Oliver WymanDescription:
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 reasonableaccommodations@marsh.com.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.How we rate this
Oliver Wyman - Regional AI Product Enablement Analyst at Marsh McLennan rates 9 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How do you decide which parts of a product should use AI versus a fixed set of rules?
- How do you think about the risk of an AI system in this kind of role failing silently?
Adapt your resume
- List these exact terms on your resume: Prompt Engineering, AI Product, and AI Safety. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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