AI Workforce Intelligence Lead (Remote)

GE Aerospace

Loves Park (IL)

Híbrido

USD 158 000 - 263 000

Tempo integral

há 48 horas
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Vantagens oferecidas por esta oferta de emprego

Relocation assistance
Remote-friendly

Resumo da oferta

GE Aerospace is advancing an AI workforce strategy to prepare the organization for evolving work, roles and skills in the age of AI. The Leader of AI Workforce Intelligence will design, build and deliver enterprise workforce inference data, and lead the AI workforce strategy agent architecture across internal and external capabilities.

Responsibilities include establishing AI inference foundations, architecting a connected view of jobs and skills, and partnering with HR and Talent COE to drive

Qualificações

  • Bachelor’s degree in HR, organizational psychology, talent development or related field.
  • 8–12+ years in HR, analytics, or related fields.
  • Experience designing data architecture and intelligence infrastructure.
  • Knowledge of skills taxonomies and job architectures.
  • Proven ability to translate strategy into operating models and governance.

Responsabilidades

  • Establish AI inference foundations for jobs, skills and tasks.
  • Architect capability constellation linking jobs, skills, AI projections, and development.
  • Design and implement AI workforce strategy agents and orchestration.
  • Partner with Future of Work and Talent COE to optimize projections.
  • Own governance and data standards across talent processes.

Conhecimentos

HR analytics
Workforce strategy
HR technology
Data analytics
Executive communication

Formação académica

Bachelor's degree in HR/related field
Advanced degree preferred

Ferramentas

HRIS
BI tools

Descrição da oferta de emprego

GE Aerospace is advancing an AI workforce strategy to prepare the organization for evolving work, roles and skills in the age of AI. The Leader of AI Workforce Intelligence will design, build and deliver enterprise workforce inference data, and lead the AI workforce strategy agent architecture across internal and external capabilities.

Responsibilities include establishing AI inference foundations, architecting a connected view of jobs and skills, and partnering with HR and Talent COE to drive

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