AI Workforce Intelligence Leader

GE Aerospace; Barrington (IL); Remote; USD 158,000 - 263,000; Full time

Benefits offered by this job

Health benefits

401(k) with company matching

Paid time-off

Job summary

GE Aerospace is advancing an AI workforce strategy to prepare for evolving work, roles, and skills in the age of AI. The Leader of AI Workforce Intelligence will design, build, and deliver enterprise workforce inference data, linking AI job profiles, skills, and people to drive strategy and capability building.

The role leads the architecture of agents and orchestration layers across internal and external skills, job trends, talent supply, and AI projections, while partnering with HR,

Qualifications

• Bachelor’s degree in human resources, organizational psychology, talent development, education, business, technology or a related discipline.
• 8–12+ years of experience in HR, analytics, or related fields.
• Experience designing data architecture and enabling intelligence infrastructure.
• Experience with skills taxonomies, skills-based talent models, job architecture, data governance.

Responsibilities

• Lead AI workforce intelligence foundations at task level mapped to skills and AI interactions.
• Architect and lead capability constellation linking jobs, skills, AI projections, and workforce capability.
• Design and implement AI workforce strategy agent architecture with utility and super agents.
• Partner with stakeholders to optimize projections and integrate skills into talent systems.

Skills

HR analytics

Data architecture

Cross-functional collaboration

Executive communication

Program management

Education

Bachelor’s degree in related field

Advanced degree preferred

Tools

AI inference

Skills taxonomies

Job description

GE Aerospace is advancing an AI workforce strategy to prepare for evolving work, roles, and skills in the age of AI. The Leader of AI Workforce Intelligence will design, build, and deliver enterprise workforce inference data, linking AI job profiles, skills, and people to drive strategy and capability building.

The role leads the architecture of agents and orchestration layers across internal and external skills, job trends, talent supply, and AI projections, while partnering with HR,