Oliver Wyman - AI Product Enablement Manager

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 AI Product Enablement Manager leads the day-to-day execution of the AI Capability & Enablement function within Quotient Inside.

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 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 AI Product Enablement 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

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

• Designing and managing structured workflows for intake, routing, escalation, and feedback loops

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

Community Engagement & Triage

• Monitoring 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

  • Connecting teams tackling similar use cases across Oliver Wyman and Marsh

Coaching & AI Experimentation

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

• Guiding 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 prototyping

Pattern Capture & Institutional Learning

• Identifying recurring patterns across user requests and use cases

• Synthesizing insights into reusable artifacts (living exemplars, blog posts, short demos, structured guides)

• Contributing learning inputs to Product Strategy and the Director of AI Product Enablement

Stakeholder Coordination & Project Leadership

• Leading discrete enablement initiatives from planning through execution (e.g., rollout of new prompting standards, custom GPT playbooks, adoption pilots)

• Coordinating cross-functional contributors across Product Strategy, Design, Training & Comms, and platform teams

Experience Required:

• You’ll have at least 6 years of experience in AI enablement, digital delivery, product operations, project management, or related roles

• Demonstrated experience of leading cross-functional initiatives with defined deliverables

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

• Experience of 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)

• A 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 in balancing independence with alignment to strategic direction

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.

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.

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 View email address on careers.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.