AI Work Design Architect & Enterprise Strategy Lead

GE Aerospace; Houston (TX); Remote; USD 200,000 - 300,000; Full time

Benefits offered by this job

Relocation assistance

Remote position

Job summary

GE Aerospace is seeking an Executive Leader for AI Work Design & Architecture to guide how work is composed between people and AI agents across the enterprise. The role will project AI interactions with jobs, tasks and skills and lead heatmapping of job changes as AI investments scale.

The position partners with HR, business, and technology leaders to articulate opportunities for talent redeployment, workforce capability building, and enterprise governance of the job taxonomy.

Qualifications

• Bachelor’s degree and 12+ years of experience across job architecture, work design, organizational design or workforce strategy.
• Experience translating emerging technology into workforce implications.
• Ability to facilitate senior-level decision making.
• Experience across HR, technology and business leadership in a large organization.
• Executive storytelling from data.

Responsibilities

• Leads AI work composition projections across the enterprise.
• Synthesizes heatmaps of forecasted changes for jobs.
• Leads redesign of work alongside AI investments.
• Leads enterprise perspective on external AI capability developments.
• Owns market-informed job taxonomy and governance.
• Creates enterprise career pathways for AI redeployment.
• Partners with business, HR, technology teams on organizational design.

Skills

Executive leadership

Stakeholder management

AI/workforce strategy

Change management

Education

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

Job description

GE Aerospace is seeking an Executive Leader for AI Work Design & Architecture to guide how work is composed between people and AI agents across the enterprise. The role will project AI interactions with jobs, tasks and skills and lead heatmapping of job changes as AI investments scale.

The position partners with HR, business, and technology leaders to articulate opportunities for talent redeployment, workforce capability building, and enterprise governance of the job taxonomy.