AI Workforce Capability Leader (Remote)

GE Aerospace; Chicago (IL); Remote; USD 200,000 - 300,000; Full time

Benefits offered by this job

Health benefits

401(k) with company match

Relocation assistance

Job summary

GE Aerospace is charting an AI workforce strategy to prepare its people for AI-enabled work. The Executive Leader will design learning strategies, capability frameworks, and career pathways across HR, LOBs, and technology, while scaling AI learning via academies, journeys, and on-demand instruction.

The role leads change management, investment decisions, and partner capacity, with relocation and travel as needed. Base pay ranges from $200,000 to $300,000 annually, with bonus eligibility.

Qualifications

• Bachelor’s degree in human resources, organizational psychology, talent development, education, business, technology or related discipline.
• 12+ years of experience in 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 teams.
• Experience defining a capability standard, competency architecture or job architecture.

Responsibilities

• Own the Employee AI Capability Supply Forecast and project AI capability supply vs demand.
• Design, curate, and scale AI learning across the enterprise, including role-based journeys and academies.
• Lead enterprise AI change management with metrics and analytics.
• Lead and develop the team and allocate capacity with partners and vendors.

Skills

AI strategy

Learning strategy

Capability building

Change management

Stakeholder mgmt

Leadership

Education

Bachelor’s degree in HR / related field

Tools

LMS

Workday

SuccessFactors

Job description

GE Aerospace is charting an AI workforce strategy to prepare its people for AI-enabled work. The Executive Leader will design learning strategies, capability frameworks, and career pathways across HR, LOBs, and technology, while scaling AI learning via academies, journeys, and on-demand instruction.

The role leads change management, investment decisions, and partner capacity, with relocation and travel as needed. Base pay ranges from $200,000 to $300,000 annually, with bonus eligibility.