Executive Leader, AI Work Design & Architecture

About the Role

Job Description Summary GE Aerospace is developing a forward-looking AI workforce strategy ensuring the organization is prepared for how work, roles, and skills will evolve in the age of artificial intelligence. With a passion for amplifying what our people do best, unlocking new and higher-value work, and growing the human capabilities that will define the next era of aerospace, GE has created the AI workforce strategy function sitting at the intersection of the CHRO and the Chief Data & AI Officer. Reporting to the Executive Director, AI Workforce Strategy & Capability, the Leader-AI Work Design & Architecture guides the enterprise in designing the future of work, informing how work is composed between people and agents across the enterprise. Building from the enterprise job taxonomy, AI inference, and market research, this role projects how AI will interact with jobs, tasks and skills. This role will lead the heatmapping of jobs across the enterprise, to forecast where and how AI will touch the future of work. As AI integrates with roles and teams, this leader partners with HR, business leaders, and technology leaders to understand how AI can amplify the human, surface common opportunities across departments, as catalyst and validation for enterprise investment, org design, and talent redeployment. Job Description Leads AI work composition projections Own the evergreen projection of how AI interacts with tasks (e.g., augmentation, automation, expansion) Synthesizes and heatmaps the forecasted change for jobs across the enterprise Leads the redesign of work alongside the AI investments of the office of the Chief Data and AI Officer Leads the enterprise perspective on external market developments in AI capability, human and agent interaction and job design Leads the AI and adjacent capability demand forecast Establishes the skills and proficiencies required for jobs across the enterprise taxonomy Forecasts how AI interacts with those skills

Requirements & Qualifications

• Strong problem solving foundations, knowledge of modern engineering practices, and interest in technology systems.

Perks & Benefits

• Official mentor support
• verified hiring timeline
• and career progression.