Head of AI Workforce Capability & Learning

GE Aerospace; Lynn (MA); Remote; USD 200,000 - 300,000; Full time

Benefits offered by this job

Healthcare benefits

Health Coach

Employee Assistance Program

401(k) plan

Tuition assistance

Adoption assistance

Paid parental leave

Disability insurance

Life insurance

Paid time-off

Relocation assistance

Job summary

GE Aerospace seeks an Executive Leader, AI Workforce Capability, to shape enterprise AI learning, capability building, and change management. You will design programs aligning skills with evolving AI tools, lead learning strategies, and partner with HR, Digital Technology, and business units to scale AI literacy and reskill critical workforces.

The role focuses on building scalable learning architectures, defining proficiency standards, and driving adoption across global functions, including

Qualifications

• Bachelor’s degree or equivalent in HR, psychology, education or business.
• Advanced degree in organizational psychology or learning sciences preferred.
• Extensive experience in enterprise capability building and learning strategy.

Responsibilities

• Own the Employee AI Capability Supply Forecast and project demand vs supply.
• Design, curate and scale AI learning across the enterprise with role-based journeys.
• Lead enterprise AI change management and measure adoption and ROI.

Skills

AI strategy

Change management

Learning strategy

Stakeholder collaboration

People leadership

Talent development

Education

Bachelor’s degree in HR or related field

Advanced degree preferred

Tools

Personalized learning platforms

Talent analytics tools

Job description

GE Aerospace seeks an Executive Leader, AI Workforce Capability, to shape enterprise AI learning, capability building, and change management. You will design programs aligning skills with evolving AI tools, lead learning strategies, and partner with HR, Digital Technology, and business units to scale AI literacy and reskill critical workforces.

The role focuses on building scalable learning architectures, defining proficiency standards, and driving adoption across global functions, including