Oliver Wyman - AI Product Enablement Senior Manager

Marsh McLennan•Dallas, TX

3d•Hybrid

About The Position

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 Quotient Inside AI Product Enablement Senior Manager works closely with the Director of Product Enablement who leads the design and execution of the AI Capability & Enablement function within Quotient Inside. Operating at the intersection of Product Strategy and Product Delivery, this role translates firm-wide AI priorities into scalable enablement strategies, structured coaching, triage, experimentation, and institutional guidance. This role serves as a senior connector between strategic intent and enterprise execution - owning operating rhythms, stakeholder alignment, prioritization, and workflow design that enable AI usage to scale responsibly and effectively across Oliver Wyman. The Senior Manager is both hands-on and highly strategic, setting a high bar for enablement quality while identifying patterns, risks, and opportunities, and converting them into improvements that strengthen adoption and impact across the organization. Please Note: Oliver Wyman/Marsh operates a hybrid working policy of 60% in-office attendance

Requirements

8-10 years of experience in AI enablement, digital delivery, product operations, project management, or related roles.
Demonstrated experience leading complex cross-functional initiatives with multiple stakeholders, defined deliverables, and measurable outcomes
Hands-on experience working with AI tools and workflows (e.g., custom GPTs, prompt engineering, AI assistants), with the ability to translate experimentation into scalable enablement approaches
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

Nice To Haves

Experience operating in professional services or similarly complex, matrixed environments preferred
Experience influencing senior stakeholders and shaping operating models, standards, or adoption strategies preferred

Responsibilities

Execution & Operating Model Delivery Lead and continuously review the operating model for the AI Capability & Enablement function , recommending i mprovements to the Director of Product Enablement Ensu ring coa ching, 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