Regional AI Enablement Analyst - Hybrid & Impactful

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

Benefits offered by this job

Health and welfare benefits

Tuition assistance

401K retirement plan

Employee assistance programs

Job summary

Oliver Wyman, a Marsh business, invites applications for the Quotient Inside Regional AI Product Enablement Analyst role. You will contribute to AI experimentation, prompt engineering, and workflow testing to scale responsible AI usage across the firm.

In this hybrid position, you will work with the AI Product Strategy team to refine prompts, support testing of custom GPTs, and develop living exemplars and guides for enablement. 2–5 years of related experience preferred.

Qualifications

• 2–5 years of 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 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.
• Assist in prototyping lightweight AI workflows under guidance.
• Identify basic technical constraints and escalate appropriately.
• Document tested use cases in reusable formats.

Skills

AI fluency

Prompt experimentation

Analytical mindset

Detail-oriented

Written communication

Learning agility

Job description

Oliver Wyman, a Marsh business, invites applications for the Quotient Inside Regional AI Product Enablement Analyst role. You will contribute to AI experimentation, prompt engineering, and workflow testing to scale responsible AI usage across the firm.

In this hybrid position, you will work with the AI Product Strategy team to refine prompts, support testing of custom GPTs, and develop living exemplars and guides for enablement. 2–5 years of related experience preferred.