Oliver Wyman - AI Product Enablement Manager

Marsh McLennan•Boston, MA

1d•$125,000 - $175,000•Hybrid

About The Position

The Quotient Inside AI Product Enablement Manager leads day-to-day execution of the AI Capability & Enablement function within Quotient Inside. Working between Product Strategy and Product Delivery, the role translates firm-wide AI priorities into structured coaching, triage, experimentation, and scalable guidance. It owns operating rhythms, stakeholder coordination, and workflow management to support responsible AI adoption across Oliver Wyman. The role combines hands-on enablement with systems-oriented work, delivering high-quality support while identifying patterns, gaps, and opportunities to improve. The position is subject to Oliver Wyman/Marsh’s hybrid working policy, which calls for 60% in-office attendance. The role is based in a flexible hybrid environment, with colleagues expected to work in their local office or onsite with clients at least three days per week. The applicable base salary range is $125,000 to $175,000, with possible performance-based incentives. The total rewards package includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs, and employee assistance programs.

Requirements

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, such as custom GPTs, prompt engineering, or AI assistants.
Strong project management and facilitation skills, including coaching.
Commitment to AI experimentation fluency, including meta-prompting, workflow testing, and custom GPT exploration.
Strong stakeholder coordination and communication skills.
Analytical ability to identify patterns and synthesize insights.
End-user focus and commitment to practical impact.
Comfort balancing independence with alignment to strategic direction.

Nice To Haves

Experience operating in professional services or complex, matrixed environments.

Responsibilities

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, including adoption patterns, recurring use cases, response time, and enablement effectiveness, and recommend course corrections.
Monitor Oliver Wyman channels, respond to AI questions, and action requests.
Assess inbound needs and route bugs or platform issues to formal feedback mechanisms, while guiding general AI usage questions to exemplars, prompt libraries, or training materials.
Connect teams working on similar use cases across Oliver Wyman and Marsh.
Provide AI coaching through office hours, working sessions, and one-to-one support for colleagues reaching out through feedback channels.
Help colleagues translate ambiguous problems into AI-solvable use cases.
Experiment hands-on with AI tools, including refining meta-prompts, configuring custom GPTs, and prototyping workflows.
Identify recurring patterns across user requests and use cases.
Synthesize insights into reusable artifacts such as living exemplars, blog posts, short demos, and structured guides.
Contribute learning inputs to Product Strategy and the Director of AI Product Enablement.
Lead discrete enablement initiatives from planning through execution, such as new prompting standards, custom GPT playbooks, and adoption pilots.
Coordinate cross-functional contributors across Product Strategy, Design, Training & Comms, and platform teams.