Oliver Wyman - AI Product Enablement Manager

Marsh McLennan • Dallas, TX

1d • Hybrid

About The Position

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.

Requirements

• 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
• 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

Responsibilities

• 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
• Monitoring OW channels and serve as a clearing house for responding to AI questions and actioning requests
• Assessing inbound needs and routing appropriately: Direct bugs or platform issues to formal feedback mechanisms
• Guiding general AI usage questions to living exemplars, prompt libraries, or training materials
• Connecting teams tackling similar use cases across Oliver Wyman and Marsh
• 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
• 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
• 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

Benefits

• 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.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed