Leader, AI Workforce Intelligence

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 Head of AI Workforce Strategy & Capability, the Leader of AI Workforce Intelligence is responsible for the design, build and delivery of the enterprise workforce inference data that will unlock both the AI workforce strategy and AI capability building (including AI job profile inferences, skills to job inference, skills to people inference, AI fluency inference form AI tool usage/quality of use).

This leader will also drive the AI workforce strategy agent architecture – leading the team to build, train, and maintain utility agents, super agents, and orchestration layer which activate the data foundation across agentic monitoring, interpretation and synthesis (internal skills and job trends, external skills and job trends, talent supply, AI projection, AI workforce strategy, AI fluency, SWP supplementation).

Job Description

Job Description

Leads the establishing of AI workforce intelligence

• 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

Lead the design and implementation of the AI workforce strategy agent architecture

• 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

Enablement of talent strategy

• 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

Preferred work location is Evendale, OH, however, remote employment will also be considered. Ability and willingness to travel at least 25%.

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…