Company:Oliver Wyman
Description:Job Overview:
TheAI Product Enablement Regional Managerleads the day-to-day execution of the AI Capability & Enablement teamwithin Quotient Insidein the Americas. Operating at the intersection of Product Strategy and Product Delivery, this role translates firm-wide AI priorities into structured coaching, triage, experimentation, and scalable guidance.This role will be responsible for developing the acceleration strategy to adopt the firm's AI products across the region.
This role serves as a linchpin between strategicintentpracticalexecutionand hands-on-management— owning the operating rhythms, stakeholder coordination, and workflow management that enable AI usage to scale responsibly across Oliver Wyman. The Manager is both hands-on and systems-oriented, ensuring high-quality enablement while identifyingpatterns, gaps, and improvement opportunities.
Please Note: Oliver Wyman/Marsh operates a hybrid working policy of 60% in-office attendance
Key responsibilities:
Execution & Operating Model Delivery
Lead day-to-day operations of the AI Capability & Enablement function, ensuring coaching, triage, experimentation, and standards-setting activities run effectively
Design and manage structured workflows for intake, routing, escalation, and feedback loops
Track key performance indicators (e.g., adoption patterns, recurring use cases, response time, enablement effectiveness) and recommend course corrections
Keep a pre-built performance/analytics dashboardup to date
Community Engagement & Triage
Direct bugs or platform issues to formal feedback mechanisms
Guide general AI usage questions to living exemplars, prompt libraries, or training materials
Connect teams tackling similar use cases acrossOliver Wyman and Marsh
Coaching & AI Experimentation
Provide AI coaching through office hours, working sessions, and 1:1 supportwith colleagueswhoreach outvia feedback channels
Guide colleagues in translating ambiguous problems into AI-solvable use cases
Conducting hands-on experimentation with AI tools, including:
For high-value or repeatable problems,facilitatesessions that teach approach and thinking — not deliver final outputs
Promote responsible, scalable, and effective AI usage across the region
Pattern Capture & Institutional Learning
Identifyrecurring patterns across user requests and use cases
Synthesize insights into reusable artifacts (living exemplars, blog posts, short demos, structured guides)
Contribute learning inputs to Product Strategy and the Director of AI Product Enablementin a helpful/usable format at a regular cadence
When needed, develop repeatable enablement assets
Stakeholder Coordination & Project Leadership
Leadmultiple distinctenablement initiatives from planning through execution (e.g., rollout of new prompting standards, custom GPT playbooks, adoption pilots)within the region
Coordinate cross-functional contributors across Product Strategy, Design,Engineering,Training & Comms, and platform teams
Support roll-out of new AI capabilities within the region
Manage project timelines, risks, dependencies, and stakeholder communications
Ensure regional executionremainsaligned with enterprise AI priorities
Regional Leadership and Team Management
Lead, coach, and develop a team of AI Product Enablement Analysts
Foster a collaborative, high-performing culture focused on continuous learning and exceptional user experience
Allocate resources across product launches, enablement initiatives, and regional priorities
Balance regional business needs whilemaintainingalignment with global AI strategy
Responsible forestablishingteam priorities in alignment with regional and global priorities, operating rhythms, and managing performance expectations
Experience Required:
6–9 years of experience in AI enablement, digital delivery, product operations, project management, or related roles
3+ years of people management experience, including managing and developing high-performing teams
Demonstrated experience leading cross-functional initiatives with defined deliverables
Hands-on experience working with AI tools and workflows (e.g., custom GPTs, prompt engineering, AI assistants)
Experienceoperatingin professional services or complex, matrixed environments preferred
Skills & Attributes:
Structured operator with strong project management and facilitation skillsincluding coaching
AI experimentation fluency (meta-prompting, workflow testing, custom GPT exploration)
Strong stakeholder coordination and communication skills
Analytical thinker capable ofidentifyingpatterns and synthesizing insights
End-user obsessed and committed to practical impact
Comfortable balancing independence with alignment to strategic direction
The applicable base salary range for this role is $130,000 to $170,000.
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-based incentives.
We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs.
