Oliver Wyman - Regional AI Product Enablement Analyst

Oliver Wyman; Chicago (IL); Hybrid; USD 95,000 - 130,000; Full time

Job summary

Oliver Wyman, a Marsh company, seeks an inside regional AI product enablement analyst in Chicago to drive AI experimentation, prompt engineering, and enablement across the Americas. You will coach teams, refine prompts, test custom GPTs, and create artifacts to scale responsible AI use throughout the center of excellence.

This hands-on role emphasizes documentation, workflows, and quality delivery, with a 60% in‑office hybrid policy and collaboration with product strategy leads.

Qualifications

• 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.

Responsibilities

• Execute structured prompt testing and refinement across defined AI use cases.
• Support configuration and testing of custom GPTs and AI assistants for the Center of Excellence.
• Validate outputs for clarity, consistency, safety, and usability.
• 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.
• 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.
• 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.
• Track recurring questions and usage patterns.
• Share structured observations with the AI Product Strategy team leads.
• Contribute technical input to decks and enablement documentation.

Skills

AI tool fluency

Prompt experimentation

Clear written communication

Detail-oriented

Analytical mindset

Learning orientation

Curious and experimental

Job description

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.

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, visitoliverwyman.com, or follow us onLinkedInandX.

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 escalat 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, visitoliverwyman.com, or follow us onLinkedInandX.

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.