Oliver Wyman - AI Product Enablement Senior Manager

Company:

Oliver Wyman

Description:

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 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 at the intersection of Product Strategy and Product Delivery, this role translates firm-wide AI priorities into scalable enablement strategies, structured coaching, triage, experimentation, and institutional guidance.

This role serves as a senior connector between strategic intent and enterprise execution - owning operating rhythms, stakeholder alignment, prioritization, and workflow design that enable AI usage to scale responsibly and effectively across Oliver Wyman. The Senior Manager is both hands-on and highly strategic, setting a high bar for enablement quality while identifying patterns, risks, and opportunities, and converting them into improvements that strengthen adoption and impact across the organization.

Please Note: Oliver Wyman/Marsh operates a hybrid working policy of 60% in-office attendance

Key responsibilities :

Execution & Operating Model Delivery

Lead and continuously review the operating model for the AI Capability & Enablement function, recommending improvements to the Director of Product Enablement

Ensuring coaching, triage, experimentation, and standards-setting activities run effectively and at scale

Design, implement, and optimize structured workflows for intake, routing, escalation, prioritization, and feedback loops across a complex stakeholder environment

Track and interpret key performance indicators (e.g., adoption patterns, recurring use cases, response time, enablement effectiveness), using data to identify trends, drive course corrections, and inform strategic decision making

Establish clear operating standards, governance mechanisms, and service expectations that improve consistency, quality, and responsiveness across enablement activities

Community Engagement & Triage

Oversee OW channels and serve as a senior clearing house for AI questions, requests, and escalations, ensuring timely, thoughtful, and well-calibrated responses across audiences

Assess inbound needs, exercise judgment on priority and complexity, and route 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 interventions

Connect teams tackling similar use cases across Oliver Wyman and Marsh to accelerate reuse, consistency, and institutional learning

Maintain credibility, clarity, and professionalism in high-frequency interaction with senior and junior colleagues, while influencing effective behaviors and responsible AI usage

Coaching & AI Experimentation

Lead AI coaching through office hours, working sessions, and 1:1 support with colleagues who reach out via feedback channels, with particular focus 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 experimentation with AI tools, including:

Meta-prompting refinement

Custom GPT configuration

Workflow prototyping

For high-value or repeatable problems, lead sessions that build colleague capability and judgment - teaching approach, decision logic, and scalable methods rather than simply delivering final outputs

Identify opportunities to elevate experimentation into repeatable practices, playbooks, and standards that can be adopted more broadly across the firm

Pattern Capture & Institutional Learning

Identify recurring patterns, unmet needs, and emerging opportunities across user requests, use cases, and adoption behaviors

Synthesize insights into reusable artifacts (living exemplars, blog posts, short demos, structured guides, playbooks) that improve consistency and enable broader self-service

Translate frontline learning into strategic recommendations for Product Strategy and the Director of AI Product Enablement, helping shape priorities, standards, and roadmap decisions

Proactively surface cross-cutting themes, risks, and opportunities that can improve enterprise AI enablement effectiveness across teams and workflows

Stakeholder Coordination & Project Leadership

Lead complex enablement initiatives from scoping through execution and adoption (e.g., rollout of new prompting standards, custom GPT playbooks, adoption pilots, 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 stakeholders across the organization, balancing strategic priorities with user needs and operational realities

Manage competing demands across initiatives, making clear trade-offs and recommendations to maximize organizational impact

Experience Required:

• •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 (e.g., custom GPTs, prompt engineering, AI assistants), with the ability to translate experimentation into scalable enablement approaches
• •Experience operating in professional services or similarly complex, matrixed environments preferred
• •Experience influencing senior stakeholders and shaping operating models, standards, or adoption strategies preferred

Skills & Attributes:

Highly structured operator with strong project leadership, facilitation, and coaching skills

Fluent in AI experimentation (meta-prompting, workflow testing, custom GPT exploration) and able to apply judgment to complex or ambiguous use cases

Strong stakeholder management, communication, and influencing skills across a range of seniority levels

Analytical and strategic thinker capable of identifying patterns, synthesizing insights, and converting learning into scalable action

End-user obsessed and committed to practical, enterprise-level impact

Comfortable balancing independence with alignment to strategic direction, while exercising sound judgment in fast-moving environments

Able 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

The applicable base salary range for this role is $165,000 to $200,000.

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-bas