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GE Aerospace

Builds jet engines for airlines and armed forces

Executive Leader - AI Work Design & Architecture

Learning & DevelopmentPosted on Nov 10
Full-timeEvendale, OH, USA

About the Job

Requirements

  • A bachelor's degree in business, human resources, organizational development, industrial-organizational psychology, technology, or a related discipline.
  • At least 12 years of experience across job architecture, work design, organizational design or effectiveness, and workforce strategy, including accountability for an enterprise-wide job or work-design outcome.
  • Experience designing job taxonomies, decomposing work at task level, and translating emerging technology into workforce and organizational implications.
  • Accountability for a method, specification, or standard adopted outside the candidate's own reporting line.
  • Working knowledge of talent market intelligence or talent market research and its application to enterprise strategies.
  • Ability to facilitate senior-level decision-making, synthesize complex inputs, and build executive-ready narratives that clarify choices, risks, and tradeoffs.
  • Knowledge of future-of-work trends, workforce transformation, operating-model evolution, skills-based workforce practices, location strategy, and automation- or AI-enabled workforce implications.
  • Experience in organizational design delivered consultatively with business leadership.
  • Experience assessing external technology or AI solution capability against operational use, including independent judgment of vendor claims.
  • Experience working cross-functionally across HR, technology, and business leadership in a large, complex organization.
  • Experience leading a team, including hiring, developing, and directing senior professionals.
  • Ability to establish new approaches where best practices and playbooks do not exist and to solve problems.
  • Ability to influence stakeholders as a collaborator.
  • Executive communication experience, including moving from data to storytelling.
  • Systems-thinking ability to connect strategy and technology and anticipate downstream needs or issues.
  • The role requires access to U.S. export-controlled information, so employment is contingent on proving U.S. person status as a U.S. lawful permanent resident, U.S. citizen, asylee, or refugee.
  • Applicants must be legally authorized to work in the United States.

Responsibilities

  • Own ongoing projections of how AI interacts with tasks through augmentation, automation, or expansion.
  • Synthesize and heatmap forecasted changes for jobs across the enterprise.
  • Lead work redesign alongside AI investments by the Office of the Chief Data and AI Officer.
  • Lead the enterprise perspective on external market developments in AI capability, human-agent interaction, and job design.
  • Establish the skills and proficiencies required for jobs across the enterprise taxonomy.
  • Forecast how AI interacts with those skills.
  • Infer adjacent and prerequisite skills for redesigned jobs to inform future capability building and career pathways for talent redeployment.
  • Own market-informed titles, job families, and role profiles as enterprise architecture, including the change-control process for amendments.
  • Lead the transformation of the job taxonomy into an enterprise catalog and governance structure.
  • Develop enterprise career pathways that leverage adjacent skills to inform talent redeployment when AI efficiency or job redesign creates adjacent work.
  • Partner consultatively with business, HR, technology teams, and integrated talent leaders on organizational design where roles change because of AI, using task evidence and skills projections.
  • Consult on team composition, employee and team capacity, and downstream technology implications.

Desired Qualifications

  • A graduate degree in business, organizational psychology, industrial-organizational psychology, or a related discipline; peer-reviewed publication experience is a plus.
  • Working knowledge of strategic workforce planning.
  • Experience applying talent intelligence and data-based decision-making.
  • Expertise in measurement strategies, return on investment, and demonstrating impact.
  • Organizational design and effectiveness experience at scale, including STAR Model or equivalent expertise.
  • Ability to design new strategies and methodology where best practices and playbooks do not exist.
  • Experience in an environment where job definitions carry contractual or regulatory weight.
  • Fluency with job-data systems of record and understanding of what they will and will not support.
  • Working knowledge of generative AI and agentic systems and their effect on knowledge and technical work.
  • Experience working with legal, privacy, and employee-representation counterparts on the representation of jobs and tasks.
  • Published or presented externally on work design, job architecture, or the future of work.

About the Company

GE Aerospace

Builds jet engines for airlines and armed forces

GE Aerospace designs, builds and services jet engines and aircraft systems for airlines, plane makers and armed forces around the world. Through CFM International, a 50-50 venture with France's Safran, it makes the LEAP engine, the only engine on Boeing's 737 MAX and one of two offered on Airbus's A320neo family. Its other units make avionics and electrical power systems for civil and military aircraft. Most of its revenue comes from repairs, spare parts and long-term service deals that airlines buy over the decades each engine stays in use, with the work done in its own and partner shops. GE Aerospace traces to General Electric, founded in 1892, and is based in Evendale, Ohio.

Company size
10,001+
Company stage
Grant
Total funding
$1B
Headquarters
Evendale, OH
Founded
1892

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