Executive Leader, AI-Driven Work Design & Architecture

GE Aerospace

Trevose (PA)

Hybrid

USD 200,000 - 300,000

Full time

41 hours ago
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Job summary

GE Aerospace is building a forward-looking AI workforce strategy to shape how work, roles and skills evolve as AI integrates with human work. The Executive Leader-AI Work Design & Architecture guides enterprise design, partnering with HR, technology and business leaders to forecast AI-enabled changes and redeploy talent.

The role emphasizes heatmapping jobs, creating career pathways, and establishing governance for the enterprise job taxonomy to enable scalable decision-making and strategic

Qualifications

  • Bachelor degree in business, HR, organizational development, industrial-organizational psychology, technology or related discipline.
  • Graduate degree in business, organizational psychology, IO psychology or related field is a plus.
  • Experience designing and decomposing work at task level.
  • Experience translating emerging technology into workforce implications.
  • Ability to facilitate senior-level decision making and narratives.

Responsibilities

  • Lead AI work composition projections and heatmaps of how AI interacts with tasks.
  • Forecast demand for AI and adjacent capabilities across enterprise taxonomy.
  • Own foundational job taxonomy and governance for enterprise catalog.
  • Create enterprise career pathways for AI redeployment and impact.

Skills

Job architecture
Work design
Organizational design
Executive communication
Stakeholder influence

Education

Bachelor's degree in business/HR/IO psychology/technology
Graduate degree in business/IO psychology

Job description

GE Aerospace is building a forward-looking AI workforce strategy to shape how work, roles and skills evolve as AI integrates with human work. The Executive Leader-AI Work Design & Architecture guides enterprise design, partnering with HR, technology and business leaders to forecast AI-enabled changes and redeploy talent.

The role emphasizes heatmapping jobs, creating career pathways, and establishing governance for the enterprise job taxonomy to enable scalable decision-making and strategic

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