Head of AI Work Design & Architecture – Remote

GE Aerospace; Erie (Erie County); Remote; USD 200.000 - 300.000; Vollzeit

Benefits dieser Stelle

Relocation assistance

Zusammenfassung

GE Aerospace is seeking an Executive Leader to shape AI-driven work design and job architecture across the enterprise. You will lead projections on AI-task interactions, develop heatmaps of job changes, and guide organization design in partnership with HR and technology leaders.

You will define career pathways for AI redeployment, forecast capability demand, and transform the foundational job taxonomy into an enterprise catalog with governance.

Qualifikationen

• Bachelor’s degree or equivalent in a related field.
• 12+ years in job architecture, work design, or workforce strategy.
• Experience with job taxonomy design and AI/workforce implications.
• Ability to facilitate senior-level decision making.
• Experience in organizational design at scale.

Aufgaben

• Lead AI work composition projections for tasks and roles.
• Heatmap forecast of how AI affects jobs enterprise-wide.
• Redesign work aligned with AI investments and goals.
• Forecast AI interaction with skills and capabilities.
• Design enterprise taxonomy and governance for roles.

Kenntnisse

Bachelor’s degree in business or a in/

12+ years experience in job/work force

Job taxonomy design

AI/workforce implications

Organizational design

Talent market intelligence

Executive-level facilitation

Future-of-work knowledge

Cross-functional collaboration

Leadership of senior professionals

Ausbildung

Bachelor’s degree in business, human resources, organizational development, industrial-organizational psychology, technology or related discipline

Jobbeschreibung

GE Aerospace is seeking an Executive Leader to shape AI-driven work design and job architecture across the enterprise. You will lead projections on AI-task interactions, develop heatmaps of job changes, and guide organization design in partnership with HR and technology leaders.

You will define career pathways for AI redeployment, forecast capability demand, and transform the foundational job taxonomy into an enterprise catalog with governance.