Oliver Wyman - AI Product Enablement Senior Manager

Marsh McLennan•Chicago, IL

1d•$165,000 - $200,000•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. At the intersection of Product Strategy and Product Delivery, the role translates firm-wide AI priorities into scalable enablement strategies, structured coaching, triage, experimentation, and institutional guidance. The Senior Manager connects strategic intent with enterprise execution, owning operating rhythms, stakeholder alignment, prioritization, and workflow design to help AI usage scale responsibly and effectively across Oliver Wyman. The role combines hands-on work with strategic leadership: setting a high bar for enablement quality, identifying patterns, risks, and opportunities, and turning them into improvements that strengthen adoption and impact across the organization. The position follows a hybrid working policy requiring 60% in-office attendance. The applicable base salary range is $165,000 to $200,000. In addition to base salary, the position may be eligible for performance-based incentives. The rewards package includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs, and employee assistance programs.

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 working with AI tools and workflows, such as custom GPTs, prompt engineering, and AI assistants, and 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 judgment to address complex or ambiguous use cases.
Strong stakeholder management, communication, and influencing skills across a range of seniority levels.
Analytical and strategic thinking skills, including identifying patterns, synthesizing insights, and converting learning into scalable action.
Commitment to practical, enterprise-level impact and an end-user-focused approach.
Ability to balance independence with alignment to strategic direction 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 for colleagues and partners.

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 a complex stakeholder environment.
Track and interpret performance indicators such as adoption patterns, recurring use cases, response time, and enablement effectiveness; use data to identify trends, drive course corrections, and inform strategic decisions.
Establish operating standards, governance mechanisms, and service expectations that improve consistency, quality, and responsiveness.
Oversee OW channels and serve as a senior clearing house for AI questions, requests, and escalations, ensuring timely, thoughtful, well-calibrated responses.
Assess inbound needs, determine priority and complexity, and route requests appropriately.
Direct bugs, platform issues, and systemic pain points to formal feedback and product improvement mechanisms.
Guide general AI usage questions to living exemplars, prompt libraries, training materials, or targeted coaching.
Connect teams working on similar use cases across Oliver Wyman and Marsh to accelerate reuse, consistency, and institutional learning.
Maintain credibility, clarity, and professionalism in frequent interactions with colleagues at all levels, while influencing effective behaviors and responsible AI usage.
Lead AI coaching through office hours, working sessions, and one-to-one support, focusing particularly on high-value, ambiguous, or strategically important use cases.
Advise colleagues on translating ambiguous business problems into AI-solvable opportunities and practical workflows that drive 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, lead sessions that build colleagues’ capability and judgment by teaching approaches, decision logic, and scalable methods.
Identify opportunities to turn experimentation into repeatable practices, playbooks, and standards for broader adoption.
Identify recurring patterns, unmet needs, and emerging opportunities across user requests, use cases, and adoption behaviors.
Synthesize insights into reusable artifacts such as living exemplars, blog posts, short demos, structured guides, and playbooks to improve consistency and self-service.
Translate frontline learning into strategic recommendations for Product Strategy and the Director of AI Product Enablement to help shape priorities, standards, and roadmap decisions.
Proactively surface cross-cutting themes, risks, and opportunities that could improve enterprise AI enablement across teams and workflows.
Lead complex enablement initiatives from scoping through execution and adoption, such as prompting standards rollouts, custom GPT playbooks, adoption pilots, and enablement governance mechanisms.
Coordinate and influence cross-functional contributors across Product Strategy, Design, Training & Comms, and platform teams to ensure alignment, accountability, and high-quality delivery.
Act as a senior thought partner to organizational stakeholders, balancing strategic priorities with user needs and operational realities.
Manage competing demands across initiatives and make clear trade-offs and recommendations to maximize organizational impact.