Oliver Wyman - AI Product Enablement Senior Manager

Marsh McLennan•Chicago, IL

1d•Hybrid

About The Position

The Quotient Inside AI Product Enablement Senior Manager works closely with the Director of Product Enablement, who leads the design and execution of the AI Capability & Enablement function within Quotient Inside. Operating between Product Strategy and Product Delivery, the role translates firm-wide AI priorities into scalable enablement strategies, structured coaching, triage, experimentation, and institutional guidance. It connects strategic intent with enterprise execution by owning operating rhythms, stakeholder alignment, prioritization, and workflow design to support responsible and effective AI use across Oliver Wyman. The Senior Manager combines hands-on work with strategic leadership, identifying patterns, risks, and opportunities and turning them into improvements that strengthen adoption and impact. The role leads delivery and continuous improvement of the enablement operating model; oversees channels and triage for AI questions and escalations; coaches colleagues and guides AI experimentation; captures patterns and institutional learning; and leads complex enablement initiatives across teams. The position follows a hybrid working policy, with 60% in-office attendance stated in the role description.

Requirements

8–10 years of experience in AI enablement, digital delivery, product operations, project management, or related roles.
Demonstrated experience leading complex cross-functional initiatives with multiple stakeholders, defined deliverables, and measurable outcomes.
Hands-on experience with AI tools and workflows, such as custom GPTs, prompt engineering, and AI assistants, and the ability to translate experimentation into scalable enablement approaches.
Strong project leadership, facilitation, and coaching skills.
Fluency in AI experimentation, including meta-prompting, workflow testing, and custom GPT exploration, with sound judgment for complex or ambiguous use cases.
Strong stakeholder management, communication, and influencing skills across seniority levels.
Analytical and strategic thinking, including the ability to identify patterns, synthesize insights, and turn learning into scalable action.
A user-focused approach and commitment to practical, enterprise-level impact.
Ability to balance independence with strategic alignment and exercise sound judgment in fast-moving environments.
Ability to lead through ambiguity, manage competing priorities, and establish clarity for others.
Demonstrated ability to raise standards, improve ways of working, and model high-quality enablement.

Nice To Haves

Experience operating in professional services or similarly complex, matrixed environments.
Experience influencing senior stakeholders and shaping operating models, standards, or adoption strategies.

Responsibilities

Lead and continuously review the operating model for the AI Capability & Enablement function, recommending improvements to the Director of Product Enablement.
Ensure coaching, triage, experimentation, and standards-setting activities operate effectively and at scale.
Design, implement, and optimize workflows for intake, routing, escalation, prioritization, and feedback across stakeholders.
Track and interpret KPIs such as adoption patterns, recurring use cases, response time, and enablement effectiveness; use findings to drive course corrections and strategic decisions.
Establish operating standards, governance mechanisms, and service expectations for consistent, high-quality enablement.
Oversee Oliver Wyman channels as a senior clearing house for AI questions, requests, and escalations, ensuring timely and appropriate responses.
Assess inbound needs, prioritize by complexity and importance, and route them appropriately.
Direct bugs, platform issues, and systemic pain points into formal feedback and product-improvement mechanisms.
Guide general AI usage questions to exemplars, prompt libraries, training materials, or targeted coaching.
Connect teams working on similar use cases across Oliver Wyman and Marsh to encourage reuse, consistency, and institutional learning.
Maintain credibility, clarity, and professionalism in frequent interactions with colleagues at all levels, while encouraging effective behaviors and responsible AI use.
Lead AI coaching through office hours, working sessions, and one-to-one support, focusing on high-value, ambiguous, or strategically important use cases.
Help colleagues translate ambiguous business problems into AI opportunities and practical workflows that produce measurable impact.
Conduct and guide hands-on AI experimentation, including meta-prompting refinement, custom GPT configuration, and workflow prototyping.
For high-value or repeatable problems, teach colleagues approaches, decision logic, and scalable methods to build their capabilities and judgment.
Identify opportunities to turn experimentation into repeatable practices, playbooks, and standards for broader adoption.
Identify recurring patterns, unmet needs, and emerging opportunities across requests, use cases, and adoption behaviors.
Synthesize insights into reusable artifacts, such as living exemplars, blog posts, short demos, structured guides, and playbooks.
Translate frontline learning into strategic recommendations for Product Strategy and the Director of AI Product Enablement to inform priorities, standards, and roadmap decisions.
Surface cross-cutting themes, risks, and opportunities to improve enterprise AI enablement across teams and workflows.
Lead complex enablement initiatives from scoping through execution and adoption, including prompting standards, custom GPT playbooks, adoption pilots, and governance mechanisms.
Coordinate and influence cross-functional contributors across Product Strategy, Design, Training & Communications, and platform teams.
Act as a senior thought partner to stakeholders, balancing strategic priorities, user needs, and operational realities.
Manage competing demands across initiatives and make trade-offs and recommendations to maximize organizational impact.