Executive Leader, AI Workforce Capability & Learning Remote

GE Aerospace; Shawnee (OK); Remote; USD 200,000 - 300,000; Full time

Benefits offered by this job

Relocation assistance

Health benefits

401(k) retirement plan

Job summary

GE Aerospace seeks an Executive Leader, AI Workforce Capability, reporting to the Head of AI Workforce Strategy & Capability. You will design learning strategies, capability frameworks, and career development pathways to prepare a global workforce for AI-enabled work, spanning HR, L&D, and technology teams.

You will own forecasting of AI capability supply and demand, lead scalable AI learning programs, and oversee change management across the enterprise.

Qualifications

• 12+ years of enterprise capability building, learning strategy, skills or talent strategy, or technology adoption.
• Fluency with generative AI and agentic tools to judge capability claims.
• Experience leading transformation of a learning or capability practice and leading a team.

Responsibilities

• Own the Employee AI Capability Supply Forecast across the enterprise.
• Drive AI workforce capability building with role-based learning journeys and scalable programs.
• Lead enterprise AI change management and adoption with measurement and analytics.
• Develop and steward the AI capability investment including vendor engagement and scale-up decisions.

Skills

AI strategy

change management

learning strategy

capability frameworks

talent development

vendor engagement

stakeholder collaboration

leadership

Education

Bachelor’s degree in HR / organizational psychology / learning sciences / education / business

Advanced degree preferred

Tools

Learning Management System (LMS)

Job description

GE Aerospace seeks an Executive Leader, AI Workforce Capability, reporting to the Head of AI Workforce Strategy & Capability. You will design learning strategies, capability frameworks, and career development pathways to prepare a global workforce for AI-enabled work, spanning HR, L&D, and technology teams.

You will own forecasting of AI capability supply and demand, lead scalable AI learning programs, and oversee change management across the enterprise.