Remote: AI Work Design and Architecture Executive Leader

GE Aerospace; Glen Allen (VA); Remote; USD 200.000 - 300.000; Vollzeit

Benefits dieser Stelle

Health benefits

401(k) plan

Tuition assistance

Paid time off

Zusammenfassung

GE Aerospace is seeking an Executive Leader for AI Work Design & Architecture to project how AI will interact with jobs, tasks and skills across the enterprise. This role will lead heatmapping of job changes, drive enterprise design and governance of the job taxonomy, and partner with HR, technology leaders and business leaders to identify talent redeployment opportunities.

The candidate will sponsor organizational design discussions, develop career pathways for AI-enabled roles, and influence

Qualifikationen

• Bachelor's degree or equivalent in business, HR, organizational development or related field.
• 12+ years in job architecture, work design, organizational design or workforce strategy.
• Experience translating technology into workforce implications.
• Ability to facilitate senior-level decision making and craft executive-ready narratives.
• Knowledge of future-of-work trends, skills-based workforce practices, and AI/workforce impacts.

Aufgaben

• Own evergreen projection of how AI interacts with tasks (augmentation, automation, expansion).
• Heatmap forecast of job changes due to AI across the enterprise.
• Lead redesign of work aligned with AI investments and office of the Chief Data & AI Officer.
• Forecast skills and proficiencies required for jobs; infer AI interaction with skills.

Kenntnisse

AI workforce design

Executive storytelling

Stakeholder management

Enterprise design

Talent market intelligence

Leadership experience

Change management

Ausbildung

Bachelor's degree in business/organization development/HR

Jobbeschreibung

GE Aerospace is seeking an Executive Leader for AI Work Design & Architecture to project how AI will interact with jobs, tasks and skills across the enterprise. This role will lead heatmapping of job changes, drive enterprise design and governance of the job taxonomy, and partner with HR, technology leaders and business leaders to identify talent redeployment opportunities.

The candidate will sponsor organizational design discussions, develop career pathways for AI-enabled roles, and influence