Manager, AI-Driven Learning & Organization Development

Abundance Network

Redwood City (CA)

Hybrid

USD 126,000 - 149,000

Full time

8 days ago

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Job summary

Stanford University is seeking a Manager, Learning & Organization Development to lead a team delivering high-impact learning experiences and to advance staff AI fluency. The role requires partnering with schools, units, and HR partners to meet university-wide and local needs while shaping an AI-enabled learning strategy.

The position oversees program design, delivery, and operations, with responsibility for measurable outcomes and continuous improvement in a hybrid on-site/remote environment.

Qualifications

  • Bachelor’s degree and five years of relevant experience.
  • Strong program/project management skills and experience.
  • Strong facilitation and coaching skills and experience.
  • Ability to advise senior management and partner across units.

Responsibilities

  • Lead and develop a team supporting learning delivery, learning operations, and continuous improvement.
  • Lead end-to-end design for multiple audiences including needs assessment, outcomes, and curricula.
  • Build staff AI fluency and capability with a practical AI learning strategy.
  • Evolve and optimize learning environments and AI-enabled learner support.
  • Measure impact with meaningful KPIs and synthesize data into actionable insights.

Skills

Team leadership
Learning & development
AI tools
Stakeholder management
Project management
Facilitation
Communication

Education

Bachelor’s degree

Tools

LMS
AI tooling

Job description

Stanford University is seeking a Manager, Learning & Organization Development to lead a team delivering high-impact learning experiences and to advance staff AI fluency. The role requires partnering with schools, units, and HR partners to meet university-wide and local needs while shaping an AI-enabled learning strategy.

The position oversees program design, delivery, and operations, with responsibility for measurable outcomes and continuous improvement in a hybrid on-site/remote environment.

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