AI Workforce Intelligence Lead

GE Aerospace; Minnetonka (MN); Remote; USD 158,000 - 263,000; Full time

Benefits offered by this job

Health benefits

401(k) plan with company match

Tuition assistance

Adoption assistance

Parental leave

Disability insurance

Life insurance

Paid time off

Job summary

GE Aerospace is pursuing an AI workforce strategy to map jobs, skills, and AI-driven capabilities across the enterprise. The leader will design data foundations for AI in workforce planning and governance, integrating multi-source indicators and stakeholder inputs.

The role requires 8–12+ years in HR analytics, data architecture, and cross-functional leadership, with a focus on scalable, enterprise-wide talent intelligence and strategic workforce planning.

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, business intelligence/analytics, or related fields.
• Experience designing data architecture and enabling intelligence infrastructure.

Responsibilities

• Establish AI workforce intelligence foundations at the task level connected to skills and AI overlay.
• Link employee profiles with skills to enable AI-driven capability inference.
• Architect an integrated view of jobs, skills, AI projections, and workforce capability.
• Oversee AI fluency indicators and enterprise validation standards for workforce inference.

Skills

HR analytics

Talent strategy

Data architecture

Skills taxonomy

Cross-functional collab

Executive communication

Project management

Education

Bachelor's degree

Advanced degree

Job description

GE Aerospace is pursuing an AI workforce strategy to map jobs, skills, and AI-driven capabilities across the enterprise. The leader will design data foundations for AI in workforce planning and governance, integrating multi-source indicators and stakeholder inputs.

The role requires 8–12+ years in HR analytics, data architecture, and cross-functional leadership, with a focus on scalable, enterprise-wide talent intelligence and strategic workforce planning.