Remote AI Workforce Intelligence Leader

GE Aerospace; Detroit (MI); Remote; USD 158,000 - 263,000; Full time

Benefits offered by this job

Health benefits

401(k) with company matching

Tuition assistance

Job summary

GE Aerospace is seeking a Leader of AI Workforce Intelligence to design, build and deliver enterprise workforce inference data that will unlock the AI workforce strategy and capability building across the organization. This role will connect AI job profiles with skills and tasks, guiding workforce planning and employee development.

The position leads the AI inference foundations and develops the architecture for agents and orchestration across internal and external data, with travel up to 25%

Qualifications

• 8–12+ years of experience in HR, analytics, talent COEs, workforce strategy, or related fields
• Experience designing data architecture and enabling intelligence infrastructure
• Experience with skills taxonomies, skills-based talent models, job architecture, data governance
• Strong ability to translate strategy into practical operating models, governance routines, and implementation plans
• Strong program and project management capability, including driving cross functional initiatives
• 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, 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 AI on those tasks
• Establish employee capability AI inference foundation, connecting profiles with skills
• Architect the capability constellation to create a connected view of jobs, skills, AI projections, and workforce capability
• 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 validation approaches, confidence thresholds
• Design, train and maintain the utility agents, super agents and orchestration layer
• Partner with stakeholders to optimize projections and integrate skills into talent systems
• Own the standards, governance model, and operating routines for skills data across talent processes

Skills

HR analytics

Data architecture

Skills taxonomy

Stakeholder management

Executive communication

Cross-functional collaboration

Education

Bachelor’s degree in related discipline

Advanced degree (preferred)

Job description

GE Aerospace is seeking a Leader of AI Workforce Intelligence to design, build and deliver enterprise workforce inference data that will unlock the AI workforce strategy and capability building across the organization. This role will connect AI job profiles with skills and tasks, guiding workforce planning and employee development.

The position leads the AI inference foundations and develops the architecture for agents and orchestration across internal and external data, with travel up to 25%