Oliver Wyman - Regional AI Product Enablement Analyst at Marsh McLennan in New York, NY

Job description

Company: Oliver Wyman 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, 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 automation, 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. s to coaching support, prompt refinement, workflow automation, and agent building 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 Center of Excellence may own and manage Build, configure, and test Skills, agents, and other AI tools 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 Build and test multi-step AI workflows using approved no-code and low-code platforms (e.g., n8n, Power Automate), connecting AI models with firm tools and data sources through approved connectors Design workflow logic, including triggers, branching, and error handling, and build human review checkpoints into workflows so outputs are checked before reaching users Manage connections and credentials through each platform's built-in credential store, following firm security and data-handling policies Identify basic technical constraints and escalate appropriately, including to QI developers when a workflow needs more advanced build support Support experimentation across AI tools to assess feasibility and usage boundaries Documentation & Sharing Living Exemplars Build and maintain prompt libraries, skill libraries, living exemplars, and structured guides for the Center of Excellence Publish and share tested prompts, Skills, agents, and workflow templates through approved firm channels (e.g., the OW AI Resources Center, shared platform workspaces) Document tested use cases and workflows in reusable formats, including clear setup steps, so colleagues can adopt and adapt them 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, workflow ideas, 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, usage patterns, and automation opportunities Share structured observations with the AI Product Strategy team leads Contribute technical input to decks and enablement documentation Experience Required: 2–4 years of experience in analytics, digital enablement, or agentic building Hands-on experienc