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Executive Leader, AI Workforce Capability

Job in Gresham, Multnomah County, Oregon, 97030, USA
Listing for: GE Aerospace
Full Time position Listed on 2026-11-13
Job specializations:
  • HR/Recruitment
Salary/Wage Range or Industry Benchmark: 200000 - 300000 USD Yearly USD 200000.00 300000.00 YEAR

Job Description & How to Apply Below

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 Executive Director, AI Workforce Strategy & Capability, the Leader, AI Workforce Capability will lead the enterprise in enabling employees to build the skills needed to succeed in an AI-enabled workplace. This role focuses on designing learning strategies, capability frameworks, and career development pathways that prepare the workforce to effectively use artificial intelligence and emerging technologies. Working across Human Resources, all lines of business, Learning & Development, and technology teams, this leader develops scalable programs that strengthen AI literacy, support workforce reskilling, and align employee development with evolving business needs.

The role also leads enterprise employee experience and adoption for AI, shaping how the organization prepares its workforce for new ways of working where human expertise and AI tools operate together. Additionally this leader owns the AI capability building for the Digital Technology organization, as a critical enabler of the enterprise AI strategy

Job Description Owns the Employee AI Capability Supply Forecast
  • Synthesizes and builds the AI capability forecast based on the intelligence for skills, proficiencies and AI fluency of the

  • workforce

  • Projects the delta between AI capability supply the demand future of work will create

  • Establish the enterprise AI fluency standard — the proficiency levels, what each requires of a person by job type and

  • leadership level

Drives AI Workforce Capability Building
  • Leverages workforce intelligence, AI adoption signals and future of work projections to create targeted AI upskilling

  • strategies

  • Own the design, curation, and scaling of AI learning across the enterprise, including role-based learning journeys,

  • academies, immersive experiences, synchronous learning, JIT on-demand instruction, and community engagement

  • Designs and executes adjacent and prerequisite skill/capability building

  • Elevates the engagement, effectiveness and digital enablement of AI learning via dynamic hyper-personalization

  • Build elevated AI capability in specific departments serving the workforce across enterprise, including Digital Technology and Human Resources

Leads AI change management and adoption
  • Lead enterprise AI change management and adoption as one strategy across channels, tracking progress against intended trajectories, caring for change impacts, with defined measurement, analytics, and tracking of how adoption has taken hold.

  • Develop and steward the AI capability investment for the enterprise, and own the recommendations on investment prioritization, resource allocation, vendor engagement, scale-up decisions, and value measurement.

  • Lead and develop the team, direct contracted and partner capacity against the enterprise plan, and represent GE Aerospace in the enterprise and industry forums where AI capability practice is being set.

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

Qualifications / Requirements
  • Bachelor’s degree in human resources, organizational psychology, talent development, education, business, technology

  • or a related discipline.

  • Preferred:
    Advanced degree in organizational psychology, learning sciences,…

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