AI Workforce Architect & Capability Leader

GE Aerospace; Detroit (MI); Hybrid; USD 200,000 - 300,000; Full time

Benefits offered by this job

Relocation assistance

Annual discretionary bonus

Job summary

GE Aerospace is advancing an AI workforce strategy to prepare its people for AI-enabled work. The Executive Leader will design learning strategies, capability frameworks and pathways to build AI literacy and reskill the workforce across HR, business lines and technology teams.

The role leads change management, capability investment and cross-organization collaboration, with a focus on scalable programs, AI learning journeys and personalization across enterprise departments.

Qualifications

• Bachelor’s degree in HR, organizational psychology, talent development, education or related field.
• Advanced degree preferred in organizational psychology, learning sciences, education or business.
• 12+ years in enterprise capability building, learning strategy, or related areas.
• Fluency with generative AI and evaluating capability claims.

Responsibilities

• Own the Employee AI Capability Supply Forecast and project AI workforce demand.
• Design, curate and scale enterprise AI learning including role-based journeys and academies.
• Lead enterprise AI change management with measurement and analytics.
• Develop and steward investments in AI capability, including vendor engagements and scaling.

Skills

AI literacy

Learning strategy

Change management

Leadership

Talent development

Education

Bachelor’s degree in HR/organizational psychology/education/business/tech

Advanced degree preferred

Tools

Learning platforms

ROI measurement

Talent analytics

Job description

GE Aerospace is advancing an AI workforce strategy to prepare its people for AI-enabled work. The Executive Leader will design learning strategies, capability frameworks and pathways to build AI literacy and reskill the workforce across HR, business lines and technology teams.

The role leads change management, capability investment and cross-organization collaboration, with a focus on scalable programs, AI learning journeys and personalization across enterprise departments.