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 

• 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