Oliver Wyman - Regional AI Product Enablement Manager

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 AI Product Enablement Regional Manager leads the day-to-day execution of the AI Capability & Enablement team within Quotient Inside in the Americas. Operating at the intersection of Product Strategy and Product Delivery, this role translates firm-wide AI priorities into structured coaching, triage, experimentation, and scalable guidance.  This role will be responsible for developing the acceleration strategy to adopt the firm's AI products across the region. This includes hands-on building and oversight of reusable AI tools (e.g., Skills, Agents) and no-code and low-code workflow automations.

This role serves as a linchpin between strategic intent, practical execution, and hands-on management — owning the operating rhythms, stakeholder coordination, and workflow management that enable AI usage to scale responsibly across Oliver Wyman. The Manager is both hands-on and systems-oriented, ensuring high-quality enablement while identifying patterns, gaps, and improvement opportunities. The Manager also sets the standards for how the team builds, tests, documents, and shares AI tools and workflows, and has a clear path toward more advanced agent-building work over time.

Please Note: Oliver Wyman/Marsh operates a hybrid working policy of 60% in-office attendance

Key responsibilities:

Execution & Operating Model Delivery

• Lead day-to-day operations of the AI Capability & Enablement function, ensuring coaching, triage, experimentation, and standards-setting activities run effectively 

• Design and manage structured workflows for intake, routing, escalation, and feedback loops 

• Track key performance indicators (e.g., adoption patterns, recurring use cases, response time, enablement effectiveness) and recommend course corrections 

• Keep a pre-built performance/analytics dashboard up to date 

• Set and maintain team standards for building, testing, documenting, and sharing AI tools and workflows, including naming, versioning, and where assets are published 

• Manage the team's build backlog, prioritizing which use cases become Skills, agents, or automations based on reach, repeatability, and value 

Community Engagement & Triage

• Monitor OW channels and serve as a clearing house for responding to AI questions and actioning requests

• Assess inbound needs and route appropriately:
  • Direct Direct bugs or platform issues to formal feedback mechanisms
  • Guide general AI usage questions to living exemplars, prompt libraries, or training materials 
  • Connect teams tackling similar use cases across Oliver Wyman and Marsh 
• Maintain clarity and professionalism in high-frequency interaction with senior and junior colleagues 

Coaching & AI Experimentation

• Provide AI coaching through office hours, working sessions, and 1:1 support with colleagues who reach out via feedback channels 

• Guide colleagues in translating ambiguous problems into AI-solvable use cases 

• Conduct hands-on experimentation with AI tools, including: 
  • Meta-prompting refinement
  • Building and configuring custom GPTs, Claude Projects, Skills, and agents 
  • Workflow design and prototyping using approved no-code and low-code platforms (e.g., n8n, Power Automate), including triggers, branching, error handling, and human review checkpoints 

• For high-value or repeatable problems, facilitate sessions that teach approach and thinking — not deliver final outputs 

• Promote responsible, scalable, and effective AI usage across the region 

• Review AI tools and workflows built by analysts for quality, reliability, and adherence to firm security and data-handling policies before they are published or shared 

Pattern Capture & Institutional Learning

• Identify recurring patterns across user requests and use cases 

• Synthesize insights into reusable artifacts (living exemplars, Skills, agents, workflow templates, blog posts, short demos, structured guides) 

• Contribute learning inputs to Product Strategy and the Director of AI Product Enablement in a helpful/usable format at a regular cadence  

• When needed, develop repeatable enablement assets 

• Ensure tested tools and workflows are published through approved firm channels (e.g., the OW AI Resources Center, shared platform workspaces) with clear setup documentation so colleagues can adopt and adapt them 

Stakeholder Coordination & Project Leadership

• Lead multiple distinct enablement initiatives from planning through execution (e.g., rollout of new prompting standards, custom GPT playbooks, adoption pilots) within the region 

• Coordinate cross-functional contributors across Product Strategy, Design, Engineering, Training & Comms, and platform teams, including handing off validated prototypes to QI developers and OW Tech when they need production-grade build, hosting, or integration 

• Support roll-out of new AI capabilities within the region 

• Manage project timelines, risks, dependencies, and stakeholder communications  

• Ensure regional execution remains aligned with enterprise AI priorities 

• Ensure the team manages connections and credentials only through approved platform credential stores and firm security processes, and escalate any access or security concerns promptly 

Regional Leadership and Team Management 

• Lead, coach, and develop a team of AI Product Enablement Analysts 

• Foster a collaborative, high-performing culture focused on continuous learning and exceptional user experience  

• Allocate resources across product launches, enablement initiatives, and regional priorities  

• Balance regional business needs while maintaining alignment with global AI strategy 

• Responsible for establishing team priorities in alignment with regional and global priorities, operating rhythms, and managing performance expectations 

• Develop analysts’ technical skills along a clear progression, from prompt and Skill building to workflow automation to agent building 

Experience Required:

• 4-5 years of experience in AI enablement, digital delivery, product operations, project management, or related roles 

• 3+ years of people management experience, including managing and developing high-performing teams 

• Demonstrated experience leading cross-functional initiatives with defined deliverables 

• Hands-on experience building reusable AI tools (e.g., Skills, Agents) and working with AI workflows (e.g., custom GPTs, prompt engineering, AI assistants) 

• Experience building automations in at least one no-code or low-code workflow tool (e.g., n8n, Power Automate, Zapier, Make) 

Technical Requirements:

• Experience building multi-agent (orchestrated) workflows beyond single agents, in which a coordinating agent delegates tasks to specialized sub-agents or tools (e.g., using n8n, OpenAI Agents SDK, Claude Agent SDK, LangGraph) 

• 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/GitHub for version control (branches, pull requests, 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 

• Experience setting technical standards or review processes for a team building AI tools or automations 

• Experience operating in professional services or complex, matrixed environments 

• A portfolio or examples of AI workflows or agents you have built or led 

Skills & Attributes:

• Structured operator with strong project management and facilitation skills including coaching 

• AI experimentation fluency (meta-prompting, workflow testing, custom GPT exploration, Skill and agent building) 

• Strong stakeholder coordination and communication skills 

• Analytical thinker capable of identifying patterns and synthesizing insights 

• End-user obsessed and committed to practical impact 

• Comfortable balancing independence with alignment to strategic direction 

• Multi-step workflow design, including triggers, branching, error handling, and human review checkpoints 

• Sound judgment on data confidentiality and responsible AI use, and the ability to set and enforce these standards for a team 

The applicable base salary range for this role is $150,000 to $220,000.

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. 

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 [email protected].

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.