Executive Leader, AI Workforce Capability

Location: Evendale

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

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, education or business administration.
• 12+ years of experience in enterprise capability building, learning strategy, skills or talent strategy, or technology
• adoption, including accountability for whether a capability was actually built.
• Fluency with generative AI and agentic tools sufficient to judge whether a capability claim is real.
• 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 the 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 with measurement strategies, ROI and demonstrating impact.
• The base pay range for this position is 200,000 - 300,000 annually. The specific pay offered may be influenced by a variety of factors,
• including the candidate’s experience, education, and skill set. This position is also eligible for an annual discretionary bonus based on a
• percentage of your base salary/ commission based on the plan. You are equity eligible. This posting is expected to close on December 10, 2026
• Additional Locations: Remote