Head of AI Workforce Intelligence (Remote)

GE Aerospace; Trenton (NJ); Hybrid; USD 158,000 - 263,000; Full time

Benefits offered by this job

Health insurance

Job summary

GE Aerospace is seeking a Leader for AI Workforce Intelligence to design, build, and deliver enterprise workforce inference data and AI capability development. You will lead a team to create an integrated view of jobs, skills, AI projections, and workforce strategy, working across HR and data leadership.

The role requires 8–12+ years in HR analytics, data governance, and complex program management, with strong cross-functional influence and executive communication skills.

Qualifications

• Bachelor’s degree in HR, 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, job architecture, data governance.
• Proven ability to translate strategy into operating models and governance.

Responsibilities

• Establish AI workforce intelligence foundations at task and employee levels.
• Architect capability constellation linking jobs, skills, AI projections and development.
• Lead design and implementation of AI workforce strategy agents and orchestration.
• Partner with stakeholders to optimize projections and integration with talent systems.

Skills

HR analytics and workforce strategy

data governance and architecture

cross-functional leadership

executive communication and influence

project/program management

systems thinking

ability to translate strategy intooper

Education

Bachelor’s degree in HR, psychology, or related field

Advanced degree preferred

Job description

GE Aerospace is seeking a Leader for AI Workforce Intelligence to design, build, and deliver enterprise workforce inference data and AI capability development. You will lead a team to create an integrated view of jobs, skills, AI projections, and workforce strategy, working across HR and data leadership.

The role requires 8–12+ years in HR analytics, data governance, and complex program management, with strong cross-functional influence and executive communication skills.