Head of AI Workforce Intelligence & Strategy

GE Aerospace; Omaha (NE); Hybrid; USD 158,000 - 263,000; Full time

Benefits offered by this job

Health benefits

401(k) with company match

Tuition assistance

Paid time off

Job summary

GE Aerospace is shaping a forward-looking AI workforce strategy. The Leader of AI Workforce Intelligence will design, build and deliver enterprise workforce inference data, linking AI capabilities to skills, jobs and people.

The role leads agents architecture, ensuring governance, automation, and scalable intelligence across HR and technology functions. The position requires 8–12+ years in HR analytics, workforce strategy, and data-driven transformation, with strong executive communication and

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 (e.g., people analytics, talent COEs, workforce strategy, HR technology), business intelligence/analytics, or related fields
• Experience designing data architecture and enabling intelligence infrastructure
• Experience with skills taxonomies, skills-based talent models, job architecture, data governance, or adjacent domains
• Proven ability to translate strategy into practical operating models, governance routines, and implementation plans
• Strong program and project management capability, including driving cross functional initiatives in complex, matrixed environments
• Experience working cross-functionally across HR, technology and business leadership to deliver enterprise solutions
• Strong ability to forge new territories where best practice and playbooks do not exist, and problem solve/solution
• Ability to develop credible influence as a collaborator with stakeholders
• Strong executive communicator with experience in moving from data to storytelling
• Strong systems thinker with the ability to connect underlying strategy, underlying technology and anticipate downstream needs or issues

Responsibilities

• Establish the job and work AI inference foundation at the task level, connected to skills, and overlay the interaction of AI on those skills and tasks
• Establish the employee capability AI inference foundation, connecting employee profiles with skills, and overlaying the interaction of AI on those skills
• Architect the capability constellation to create a connected view of jobs, skills, AI projections, and workforce capability to inform effective employee capability growth and meaningful investments in employee development
• Integrate multi-source indicators of AI fluency hyper personalized to the job and work AI inference foundation
• Set the enterprise standard for workforce inference, establish the validation approaches, confidence thresholds for the enterprise
• Design, train and maintain the utility agents, super agents and orchestration layer spanning internal and external skills and job trends, talent supply, AI projection, AI workforce strategy, AI fluency and workforce-planning supplementation
• Partner with stakeholders representing Future of Work and Capability Building to optimize projections and the utility of the intelligence layer and agents
• Partner with Talent COE teams to integrate skills into talent systems, career architecture, and internal mobility programs
• Own the standards, governance model, and operating routines that keep skills data current, usable, and aligned across the talent ecosystem. The role partners closely with People Analytics, HR Technology, and Talent COE leaders to ensure skills are consistently defined, governed, and applied across key talent processes

Skills

HR analytics

Talent strategy

Data governance

Skills taxonomies

Executive communication

Stakeholder management

Systems thinking

Cross-functional collaboration

Education

Bachelor’s degree in HR/Organizational Psychology/TDevelopment

Advanced degree in HR, OD, Business or Strategy

Tools

None

Job description

GE Aerospace is shaping a forward-looking AI workforce strategy. The Leader of AI Workforce Intelligence will design, build and deliver enterprise workforce inference data, linking AI capabilities to skills, jobs and people.

The role leads agents architecture, ensuring governance, automation, and scalable intelligence across HR and technology functions. The position requires 8–12+ years in HR analytics, workforce strategy, and data-driven transformation, with strong executive communication and