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 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. 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   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     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   colle a gues   who   reach out   via   feedback channels   Guide colleagues in translating ambiguous problems into AI-solvable use cases   Conducting hands-on experimentation with AI tools, including: Meta-prompting refinement Custom GPT configuration Workflow design and   prototyping   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   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   in a helpful/usable format at a regular cadence    When neede d, develop repeatable enablement assets   Stakeholder Coordination & Project Leadership