Executive Leader, AI Workforce Capability
About The Position
GE Aerospace is developing an AI workforce strategy to prepare the organization for how work, roles, and skills will evolve with artificial intelligence. The AI workforce strategy function sits 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 enables employees to build the skills needed to succeed in an AI-enabled workplace. The role designs learning strategies, capability frameworks, and career development pathways that prepare employees to use AI and emerging technologies effectively. It works across Human Resources, lines of business, Learning & Development, and technology teams to develop scalable programs that strengthen AI literacy, support reskilling, and align employee development with business needs. The position leads enterprise employee experience and adoption for AI, and owns AI capability building for the Digital Technology organization. The role forecasts enterprise AI capability supply, establishes AI fluency standards, and leads capability building, learning, change management, and adoption. It develops and stewards enterprise AI capability investment, including recommendations for prioritization, resource allocation, vendor engagement, scaling, and value measurement. It also leads and develops a team, directs contracted and partner capacity, and represents GE Aerospace in enterprise and industry forums. The preferred work location is Evendale, Ohio, though remote employment will also be considered. The role requires willingness and ability to travel at least 25%.
Requirements
- Bachelor’s degree in human resources, organizational psychology, talent development, education, business, technology, or a related discipline.
- 12 or more years of experience in enterprise capability building, learning strategy, skills or talent strategy, or technology adoption, including accountability for whether a capability was built.
- Fluency with generative AI and agentic tools sufficient to assess whether a capability claim is genuine.
- Experience leading the transformation of a learning or capability practice.
- Experience leading a team, including hiring and developing senior professionals and directing partner or contract capacity.
- Experience defining a capability standard, competency architecture, or skill model adopted enterprise-wide.
- Experience developing and stewarding investment for a capability area, including vendor engagement and scale-up decisions.
- Experience leading enterprise change management and adoption with defined measurement.
- Experience building capability for technical or engineering populations.
- Experience with skills-based talent models, capability frameworks, and job architecture.
- Experience in a large, complex, global, and regulated organization.
- Experience with personalized learning experience platforms.
- Experience applying talent intelligence and data-based decision-making.
- Deep expertise in measurement strategies, ROI, and demonstrating impact.
- Ability and willingness to travel at least 25%.
- Must be legally authorized to work in the United States. Employment is contingent on proving U.S. Person status as a U.S. lawful permanent resident, U.S. citizen, or person granted asylee or refugee status.
Nice To Haves
- Advanced degree in organizational psychology, learning sciences, education, or business administration.
Responsibilities
- Own the employee AI capability supply forecast by synthesizing workforce intelligence on skills, proficiencies, and AI fluency and projecting the gap between current capability supply and future demand.
- Establish the enterprise AI fluency standard, including proficiency levels and expectations by job type and leadership level.
- Develop targeted AI upskilling strategies using workforce intelligence, AI adoption signals, and future-of-work projections.
- Design, curate, and scale enterprise AI learning, including role-based journeys, academies, immersive experiences, synchronous learning, just-in-time instruction, and community engagement.
- Design and execute adjacent and prerequisite skill and capability building.
- Improve engagement, effectiveness, and digital enablement of AI learning through dynamic personalization.
- Build AI capability in departments serving the enterprise workforce, including Digital Technology and Human Resources.
- Lead enterprise AI change management and adoption across channels, track progress against intended trajectories, address change impacts, and define measurement and analytics.
- Develop and steward enterprise AI capability investment, including recommendations on investment priorities, 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 enterprise and industry forums where AI capability practices are established.
Benefits
- Medical, dental, vision, and prescription drug coverage
- Access to a Health Coach
- Employee Assistance Program with 24/7 confidential assessment, counseling, and referral services
- 401(k) savings plan with company matching and company retirement contributions
- Fidelity resources and planning consultants
- Tuition assistance
- Adoption assistance
- Paid parental leave
- Disability insurance
- Life insurance
- Paid time off for vacation or illness
- Annual discretionary bonus
- Equity eligibility
- Relocation assistance
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What This Job Offers
Job Type
Full-time
Career Level
Executive
