Oliver Wyman - AI Product Enablement Senior Manager

About Oliver Wyman

Oliver Wyman, a Marsh (NYSE: MRSH) business, brings deep industry insight, bold innovation, and a collaborative approach to help organizations navigate transformative moments. As part of Marsh, the firm works alongside leading experts across risk, reinsurance, capital, people, investments, and management consulting. Together with Marsh Risk, Guy Carpenter, and Mercer, Oliver Wyman helps organizations build resilience and competitive advantages globally. With annual revenue over $24 billion and more than 90,000 colleagues in 130 countries, Marsh enables organizations to thrive through perspective and expertise.

Job Overview

The Quotient Inside AI Product Enablement Senior Manager partners with the Director of Product Enablement to design and execute the AI Capability & Enablement function within Quotient Inside. This role bridges Product Strategy and Product Delivery by translating firm-wide AI priorities into scalable enablement strategies, structured coaching, triage, experimentation, and institutional guidance. The Senior Manager owns operating rhythms, stakeholder alignment, prioritization, and workflow design to scale AI usage responsibly and effectively across Oliver Wyman. The position requires both hands-on execution and strategic thinking, setting high standards for enablement quality while identifying patterns, risks, and opportunities to improve adoption and impact.

Oliver Wyman/Marsh operates a hybrid working policy requiring 60% in-office attendance.

Responsibilities

• Execution & Operating Model Delivery
  • Lead continuous review of the AI Capability & Enablement operating model and recommend improvements to the Director of Product Enablement.
  • Ensure 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) to identify trends, drive course corrections, and inform strategic decisions.
  • Establish clear operating standards, governance mechanisms, and service expectations to improve consistency, quality, and responsiveness.
• Community Engagement & Triage
  • Oversee Oliver Wyman channels as a senior clearing house for AI questions, requests, and escalations, ensuring timely, thoughtful, and calibrated responses.
  • 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 interactions with colleagues of all levels while influencing effective and responsible AI usage.
• Coaching & AI Experimentation
  • Lead AI coaching through office hours, working sessions, and 1:1 support, focusing 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, and 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 for broader adoption.
• 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 self-service.
  • Translate frontline learning into strategic recommendations for Product Strategy and the Director of AI Product Enablement to shape priorities, standards, and roadmap decisions.
  • Proactively surface cross-cutting themes, risks, and opportunities to 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, 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.