Marsh McLennan Inc. logo

Capability Leader AI & Digital

Marsh McLennan Inc.

NEW YORK, NY · HybridJobSeen 2w agoSeen in employer's feed 4 days ago

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At a glance

Compensation
No compensation found
Location
NEW YORK, NYHybrid
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Marsh seeks an AI Learning & Enablement Lead to shape enterprise AI education and workforce development. The role leads the design, implementation, and measurement of learning initiatives that build AI skills and support business outcomes. It partners with senior leaders and cross-functional teams, develops scalable learning experiences, and uses analytics to improve adoption and demonstrate impact. The position is based in New York and follows a hybrid schedule.

Skills & qualifications

RequiredNice to have

Skills

Learning and DevelopmentProgram ManagementEnterprise LearningAI and Emerging TechnologiesBusiness AcumenProduct ManagementUX DesignSoftware EngineeringAI/ML Product DevelopmentCross-Functional InfluenceChange ManagementStrategic ThinkingLeadership

Qualifications

8+ Years Experience

Full job description

We are seeking a talented individual to join our Global Learning team at Marsh. This role will be based in New York, hybrid and requires working at least three days a week in the office As Marsh's AI Learning & Enablement Lead, you will be the enterprise's trusted strategist and subject matter expert driving education and workforce development in artificial intelligence and enabling skills. You will lead the design, implementation, and measurement of AI learning initiatives that empower our people and accelerate business outcomes. This role requires strong cross-functional influence without formal authority, deep expertise in learning and development, and a performance-driven mindset to deliver measurable impact through AI enablement. This role reports to the Global Learning Leader and is part of the Careers Center of Excellence within our People Experience function of People Function team. We will count on you to: Lead the development and execution of Marsh's enterprise-wide AI learning strategy, identifying opportunities to embed AI skills across all business functions. Champion AI literacy and adoption by creating comprehensive training, awareness, and skill-building programs. Partner closely with senior leaders and cross-functional teams to align AI learning initiatives with Marsh's strategic priorities. Foster a culture of continuous learning and innovation, driving engagement through targeted campaigns and integrated learning experiences. Embed learning into the flow of work, ensuring AI skills development is practical, timely, and relevant. Develop persona-based, human-centered learning approaches tailored to diverse roles and levels. Build scalable, high-quality training content and experiences that equip employees with critical AI skills. Equip leaders to confidently guide their teams in the AI era-helping them set direction, encourage experimentation, clarify where judgment matters, and create a safe space for learning and growth. Collaborate with key stakeholders to ensure learning initiatives meet enterprise needs and drive skill adoption. Cultivate strategic relationships with functional training leads and key partners across People Function, Operations and Technology, and beyond. Ensure all learning programs comply with relevant standards and organizational policies. Define and track analytics to measure program adoption, ROI, and business impact in partnership with our analytics and impact team. Use data insights to continuously improve learning initiatives and demonstrate value to leadership. Report progress and outcomes to stakeholders at all levels, including executives. Inspire and engage the Marsh community with creative approaches that promote AI learning and behavior change. Act as a marketer and community builder-driving adoption, collaboration, and peer learning through the AI Learning Network. Support a vibrant learning ecosystem that fuels innovation and knowledge sharing. What you need to have: 8-12+ years of progressive experience in learning and development, program management, or related roles. Proven success leading enterprise-wide learning initiatives, ideally with a focus on AI or emerging technologies. Strong business acumen and a pragmatic approach to building capabilities efficiently. Hands-on experience in product management, UX/design, or software engineering - ideally building AI/ML-enabled products, platforms, or tooling - demonstrating the ability to partner with technical teams and translate product/engineering constraints into practical, scalable learning and enablement solutions. Who You Are: A collaborative leader with a track record of managing large, complex learning programs and driving change without direct authority. A strategic thinker who connects emerging technologies to real business outcomes and workforce capabilities. A continuous learner passionate about staying ahead in a fast-evolving AI landscape. An empathetic leader who understands the importance of culture, ad ptab

How this job compares

Set against the 1,378 open Learning and Development jobs on Olive Jobs, counted November 4, 2026.

Pay
  • This postingNot listed
  • New York median$100–166K/yr65 salary ranges
  • US median$20–25/hr116 hourly ranges
Openings
Olive Jobs lists 89 open Learning and Development jobs in New York and 1,378 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
This posting asks for at least 8 years of experience; Learning and Development postings that state a minimum ask for 6 years at the median (1,154 postings).
Education
403 of the 1,378 open Learning and Development jobs (29%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 4, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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