Oliver Wyman - Regional AI Product Enablement Analyst

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Marsh McLennan

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M

corporate.marsh.com

10,001+ employees

Professional Services

New York, NY

Public Company

961k LinkedIn followers

Raised $15.4B

• 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 [http://www.oliverwyman.com/], or
• follow us on LinkedIn  [https://www.linkedin.com/company/oliver-wyman]and X
• 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
• 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
• Validate outputs for clarity, consistency, safety, and usability
• 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
• 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
• 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
• Help translate user questions into structured AI prompts, workflow ideas, or
• Product Strategy team actions and backlog items
• Support AI coaching and respond to inbound questions
• Track recurring questions, usage patterns, and automation opportunities
• Contribute technical input to decks and enablement documentation
• building
• Hands-on experience building, storing, and sharing reusable AI tools (e.g.,

• Experience building automations in at least one no-code or low-code workflow
• tool (e.g., n8n, Power Automate, Zapier, Make)
• Experience supporting documentation or analysis work in collaborative, cross
• functional environments
• agents, in which a coordinating agent delegates tasks to specialized
• sub-agents or tools (e.g., using n8n, OpenAI Agents SDK, Claude Agent SDK,
• Experience connecting to LLM APIs (e.g., OpenAI, Anthropic), including
• tool/function calling and structured outputs
• Working knowledge of Python or another scripting language
• Familiarity with Git-based version control (e.g., GitHub, GitLab, Azure
• DevOps Repos), including branches, pull requests, and READMEs
• Understanding of secure API key management, including use of secrets managers
• (e.g., Azure Key Vault) and never storing keys in code
• Exposure to Azure or other cloud environments
• A portfolio or examples of AI workflows or agents you have built
• Multi-step workflow design, including triggers, branching, error handling,
• and human review checkpoints
• Sound judgment on data confidentiality and responsible AI use
• 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.
• 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.

• Health and welfare benefits
• Tuition assistance
• 401k savings
• Retirement programs
• Employee assistance programs