Oliver Wyman - Regional AI Product Enablement Manager

Company:

Description:

About Oliver Wyman

At Oliver Wyman, a Marsh (NYSE: MRSH) business, we bring deep industry insight, bold innovation, and a collaborative approach that cuts through complexity to help organizations navigate their most defining transformative moments.

As a business of Marsh, we work alongside the world’s leading experts across risk, reinsurance and capital, people and investments, and management consulting. Together with Marsh Risk, Guy Carpenter, and Mercer, we help organizations build resilience and competitive advantages from every angle. With annual revenue over $24 billion and more than 90,000 colleagues in 130 countries, Marsh helps build the confidence to thrive through the power of perspective. 

For more information, visit oliverwyman.com, or follow us on LinkedIn and X.    

Job Overview:

The AI Product Enablement Regional Manager leads the day-to-day execution of the AI Capability & Enablement team within Quotient Inside in 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 strategic intent practical execution and 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 identifying patterns, 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 dashboard up to date 

Community Engagement & Triage

• Monitor OW channels and serve as a clearing house for responding to AI questions and actioning requests Assess inbound needs and route appropriately: 

• 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 across Oliver Wyman and Marsh   

• Maintain clarity and professionalism in high-frequency interaction with senior and junior colleagues 

Coaching & AI Experimentation

• Provide AI coaching through office hours, working sessions, and 1:1 support with colleagues who reach out via feedback channels 

• Guide colleagues in translating ambiguous problems into AI-solvable use cases 

• Conducting hands-on experimentation with AI tools, including:

  • Meta-prompting refinement

  • Custom GPT configuration

  • Workflow design and prototyping 

• For high-value or repeatable problems, facilitate sessions that teach approach and thinking — not deliver final outputs 

• Promote responsible, scalable, and effective AI usage across the region 

Pattern Capture & Institutional Learning

• Identify recurring 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 Enablement in a helpful/usable format at a regular cadence  

• When needed, develop repeatable enablement assets 

Stakeholder Coordination & Project Leadership

• Lead multiple distinct enablement 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 execution remains aligned 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 while maintaining alignment with global AI strategy 

• Responsible for establishing team 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) 

• Experience operating in professional services or complex, matrixed environments preferred 

Skills & Attributes:

• Structured operator with strong project management and facilitation skills including coaching 

• AI experimentation fluency (meta-prompting, workflow testing, custom GPT exploration) 

• Strong stakeholder coordination and communication skills 

• Analytical thinker capable of identifying patterns 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.