Oliver Wyman AI Product Enablement Senior Manager

Execution & Operating Model Delivery

• Lead and continuouslyreviewthe operating model for the AI Capability & Enablement functionrecommending 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

• 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 ofidentifyingpatterns 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 andestablishclarity for others

• Demonstratedability to raise standards improve ways of working and model high-quality enablement for colleagues and partners