Head of AI Workforce Intelligence

GE Aerospace; Cheyenne (WY); Hybride; USD 158 000 - 263 000; Plein temps

Résumé du poste

GE Aerospace is seeking a Leader of AI Workforce Intelligence to design, build, and deliver enterprise workforce inference data that informs AI workforce strategy and capability building. You will drive an architecture of utility agents, super agents, and an orchestration layer across internal and external trends.

Based in the United States with preference for Evendale, OH, the role offers remote options and requires up to 25% travel.

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.
• Proven ability to translate strategy into operating models, governance routines, and implementation plans.
• Strong program and project management in complex, matrixed environments.
• Ability to influence stakeholders and communicate with executives.
• Knowledge of future-of-work trends and AI-enabled workforce implications.

Responsabilités

• Lead AI workforce intelligence foundations connected to skills and tasks.
• Architect capability constellation for jobs, skills, AI projections and growth.
• Design and implement AI workforce strategy agent architecture (agents & orchestration).
• Partner with Future of Work and Capability Building stakeholders to optimize intelligence.
• Own governance models and routines ensuring data currency across talent ecosystem.

Connaissances

People analytics

Talent CoE

Data governance

AI workforce

Executive communication

Cross-functional leadership

Formation

Bachelor’s degree in HR

Outils

AI inference tools

Talent intelligence platforms

Description du poste

GE Aerospace is seeking a Leader of AI Workforce Intelligence to design, build, and deliver enterprise workforce inference data that informs AI workforce strategy and capability building. You will drive an architecture of utility agents, super agents, and an orchestration layer across internal and external trends.

Based in the United States with preference for Evendale, OH, the role offers remote options and requires up to 25% travel.