Chief AI Workforce Capability Architect

GE Aerospace; San Juan (PR); Remote; USD 200,000 - 300,000; Full time

Job summary

GE Aerospace is advancing an AI workforce strategy to prepare the organization for evolving roles, skills, and work with AI integration. The Executive Leader will drive learning strategies, capability frameworks, and career pathways across HR, business lines, Learning & Development, and technology teams.

The role focuses on scalable programs, AI literacy, workforce reskilling, and adoption, with ownership of AI capability building for the Digital Technology organization.

Qualifications

• Bachelor’s degree in HR, organizational psychology, talent development, education, business, technology or related discipline.
• Advanced degree in organizational psychology, learning sciences, education or business administration is preferred.
• 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 assess capability claims.

Responsibilities

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

Skills

Leadership

Change management

Learning strategy

Stakeholder management

Data-driven decision making

Education

Bachelor’s degree in HR/Organizational Psychology/Talent Development/Education/Business

Advanced degree in organizational psychology/learning sciences/education/business administration

Tools

LMS platforms

Job description

GE Aerospace is advancing an AI workforce strategy to prepare the organization for evolving roles, skills, and work with AI integration. The Executive Leader will drive learning strategies, capability frameworks, and career pathways across HR, business lines, Learning & Development, and technology teams.

The role focuses on scalable programs, AI literacy, workforce reskilling, and adoption, with ownership of AI capability building for the Digital Technology organization.