Oliver Wyman - AI Product Enablement Manager

About the role

Operating at the intersection of Product Strategy and Product Delivery, the Quotient Inside AI Product Enablement Manager translates firm-wide AI priorities into structured coaching, triage, experimentation, and scalable guidance. This role serves as a linchpin between strategic intent and practical execution, owning the operating rhythms, stakeholder coordination, and workflow management that enable AI usage to scale responsibly across Oliver Wyman. The position is both hands-on and systems-oriented, ensuring high-quality enablement while identifying patterns, gaps, and improvement opportunities.

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

Responsibilities

• Execution & Operating Model Delivery
  • Lead the 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
• 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 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
• 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
    • Custom GPT configuration
    • Workflow prototyping
• Pattern Capture & Institutional Learning
  • Identify recurring patterns across user requests and use cases
  • Synthesize insights into reusable artifacts (living exemplars, blog posts, short demos, structured guides)
  • Contribute learning inputs to Product Strategy and the Director of AI Product Enablement
• Stakeholder Coordination & Project Leadership
  • Lead discrete enablement initiatives from planning through execution (e.g., rollout of new prompting standards, custom GPT playbooks, adoption pilots)
  • Coordinate cross-functional contributors across Product Strategy, Design, Training & Comms, and platform teams

Experience Required

• At least 6 years of experience in AI enablement, digital delivery, product operations, project management, or related roles
• Demonstrated experience leading cross-functional initiatives with defined deliverables
• Hands-on experience working with AI tools and workflows (e.g., custom GPTs, prompt engineering, AI assistants)
• Experience operating in professional services or complex, matrixed environments preferred

Skills & Attributes

• A structured operator with strong project management and facilitation skills, including coaching
• Committed to AI experimentation fluency (meta-prompting, workflow testing, custom GPT exploration)
• Strong stakeholder coordination and communication skills
• A natural 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

Pay

The applicable base salary range for this role is $125,000 to $165,000. 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.

Benefits

• Health and welfare benefits
• Tuition assistance
• 401K savings and other retirement programs
• Employee assistance programs