Executive Leader, AI Workforce Capability (Remote)

GE Aerospace

Lafayette (CO)

Remote

USD 200.000 - 300.000

Vollzeit

vor 41 Stunden
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Health benefits
401(k) retirement plan
Tuition assistance
Paid parental leave

Zusammenfassung

GE Aerospace seeks an Executive Leader, AI Workforce Capability to drive enterprise AI capability and learning. You will forecast AI skills demand, design scalable learning programs, and lead change management across HR, Digital Technology, and business units. Remote/work location flexible with travel.

Ideal candidates have 12+ years in capability building, fluency in AI tools, and a proven track record of leading enterprise learning transformations and vendor engagements.

Qualifikationen

  • Bachelor’s degree or higher in a related field.
  • Advanced degree preferred in organizational psychology or learning science.
  • 12+ years in enterprise capability building, learning strategy or talent development.

Aufgaben

  • Own the employee AI capability supply forecast and project AI workforce demand.
  • Design, curate, and scale AI learning across the enterprise with role-based journeys and academies.
  • Lead enterprise AI change management with measurements, analytics and adoption tracking.

Kenntnisse

AI fluency
Change management
Learning strategy
Talent development
Team leadership

Ausbildung

Bachelor's degree in human resources, organizational psychology, talent development, education, business, technology
Advanced degree in organizational psychology, learning sciences, education or business administration

Tools

Personalized learning platforms

Jobbeschreibung

GE Aerospace seeks an Executive Leader, AI Workforce Capability to drive enterprise AI capability and learning. You will forecast AI skills demand, design scalable learning programs, and lead change management across HR, Digital Technology, and business units. Remote/work location flexible with travel.

Ideal candidates have 12+ years in capability building, fluency in AI tools, and a proven track record of leading enterprise learning transformations and vendor engagements.

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