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Marsh & McLennan

Brokers insurance and runs risk and HR consulting

AI Product Enablement Senior Manager

Business OperationsConfirmed live in the last 24 hours
Full-timeChicago, IL, USA

About the Job

Requirements

  • Eight to ten 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 with AI tools and workflows, such as custom GPTs, prompt engineering, and AI assistants, and the ability to translate experimentation into scalable enablement approaches.
  • Strong project leadership, facilitation, and coaching skills.
  • Fluency in AI experimentation, including meta-prompting, workflow testing, and custom GPT exploration, with judgment in complex or ambiguous use cases.
  • Strong stakeholder management, communication, and influencing skills across seniority levels.
  • Ability to identify patterns, synthesize insights, and convert learning into scalable action.
  • Ability to balance independence with strategic alignment and exercise sound judgment in fast-moving environments.
  • Ability 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.

Responsibilities

  • Lead and continuously review the operating model for the AI Capability & Enablement function, recommending improvements to the Director of Product Enablement.
  • Ensure coaching, triage, experimentation, and standards-setting activities run effectively and at scale.
  • Design, implement, and optimize workflows for intake, routing, escalation, prioritization, and feedback across a complex stakeholder environment.
  • Track and interpret performance indicators such as adoption patterns, recurring use cases, response time, and enablement effectiveness; use data to identify trends, drive course corrections, and inform strategic decisions.
  • Establish operating standards, governance mechanisms, and service expectations that improve consistency, quality, and responsiveness.
  • Oversee Oliver Wyman channels and serve as a senior clearing house for AI questions, requests, and escalations, ensuring timely, thoughtful, and well-calibrated responses.
  • Assess inbound needs, exercise judgment on priority and complexity, and route requests 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 working on similar use cases across Oliver Wyman and Marsh to accelerate reuse, consistency, and institutional learning.
  • Maintain credibility, clarity, and professionalism in frequent interactions with senior and junior colleagues while influencing effective behaviors and responsible AI use.
  • Lead AI coaching through office hours, working sessions, and one-to-one support, particularly for 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, and workflow prototyping.
  • For high-value or repeatable problems, lead sessions that build colleagues’ capability and judgment by teaching approaches, decision logic, and scalable methods rather than simply delivering final outputs.
  • Identify opportunities to turn experimentation into repeatable practices, playbooks, and standards for broader adoption.
  • Identify recurring patterns, unmet needs, and emerging opportunities across user requests, use cases, and adoption behaviors.
  • Synthesize insights into reusable artifacts, including living exemplars, blog posts, short demos, structured guides, and playbooks, to improve consistency and enable broader self-service.
  • Translate frontline learning into strategic recommendations for Product Strategy and the Director of AI Product Enablement to help shape priorities, standards, and roadmap decisions.
  • Surface cross-cutting themes, risks, and opportunities that can improve enterprise AI enablement across teams and workflows.
  • Lead complex enablement initiatives from scoping through execution and adoption, such as prompting standards rollouts, custom GPT playbooks, adoption pilots, and enablement governance mechanisms.
  • Coordinate and influence cross-functional contributors across Product Strategy, Design, Training & Communications, and platform teams to ensure alignment, accountability, and high-quality delivery.
  • Act as a senior thought partner to stakeholders, balancing strategic priorities with user needs and operational realities.
  • Manage competing demands across initiatives and make clear trade-offs and recommendations to maximize organizational impact.

Desired Qualifications

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

About the Company

Marsh & McLennan

Brokers insurance and runs risk and HR consulting

Marsh & McLennan Companies, which operates under the Marsh brand, is an insurance broker and consulting group serving businesses, governments and institutions worldwide. Its Marsh Risk unit arranges property, casualty, cyber and employee-benefit coverage, while Guy Carpenter places reinsurance for insurers. Mercer advises employers on pay, benefits, retirement and investments, and Oliver Wyman, Lippincott and NERA handle strategy, brand and economic consulting. Brokers earn commissions and fees from placing coverage, and consultants bill client fees or charge fees based on assets or plan members. The company traces its roots to 1871 and is headquartered in New York City.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
New York, NY
Founded
1871

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