Executive Leader, AI Workforce Capability & Learning

GE Aerospace; Santa Fe (NM); Remote; USD 200,000 - 300,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) retirement plan with company-m\

Tuition assistance & paid time off

Job summary

GE Aerospace is seeking an Executive Leader, AI Workforce Capability to design learning strategies and capability frameworks that prepare a global, AI-enabled workforce. You will collaborate with CHRO and Data & AI teams to build scalable programs that elevate AI literacy and reskill employees across the enterprise.

This role leads forecasting of AI capability supply, builds role-based learning journeys, and spearheads enterprise change management and investment decisions.

Qualifications

• Bachelor’s degree in HR, organizational psychology, talent development, education, business, technology
• 12+ years of experience in enterprise capability building, learning strategy, or related fields
• Fluency with generative AI and agentic tools
• Experience leading enterprise change management and adoption with defined measurement
• Experience building capability for technical or engineering populations

Responsibilities

• Own the Employee AI Capability Supply Forecast.
• Design, curate and scale AI learning across the enterprise, including role-based learning journeys, academies, immersive experiences, and on-demand instruction.
• Lead enterprise AI change management and adoption with measurement and analytics.
• Develop and steward the AI capability investment, vendor engagement, and scale-up decisions.

Skills

AI fluency

Change management

Talent development strategy

Team leadership

Education

Bachelor’s degree in HR / related field

Tools

Learning platforms

Job description

GE Aerospace is seeking an Executive Leader, AI Workforce Capability to design learning strategies and capability frameworks that prepare a global, AI-enabled workforce. You will collaborate with CHRO and Data & AI teams to build scalable programs that elevate AI literacy and reskill employees across the enterprise.

This role leads forecasting of AI capability supply, builds role-based learning journeys, and spearheads enterprise change management and investment decisions.