
Oliver Wyman Regional AI Product Enablement Analyst
NEW YORK, NY · HybridJob$95–130K/yrSeen todaySeen in employer's feed today
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Job overview
The Regional AI Product Enablement Analyst supports Oliver Wyman’s Quotient Inside Americas AI Capability & Adoption function through structured experimentation, prompt engineering, workflow testing, and enablement. Working under product strategy leadership, the analyst contributes to prompt refinement, custom GPT testing, coaching support, and reusable artifacts that help scale responsible AI use. The role emphasizes reliable execution, technical fluency, documentation, and quality delivery.
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Full 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. 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 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, th s position may be eligible f
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