Oliver Wyman - AI Product Enablement Senior Manager

Execution & Operating Model Delivery

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

• Ensuringcoaching, triage, experimentation, and standards-setting activities run effectively and at scale

• Design, implement, andoptimizestructured 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 toidentifytrends, 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, ensuringtimely, 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

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

Pattern Capture & Institutional Learning

• Identifyrecurring 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