> Markdown version of [/jobs/ext/4682126-executive-leader-ai-work-design-architecture](https://www.wearedevelopers.com/jobs/ext/4682126-executive-leader-ai-work-design-architecture). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Executive Leader, AI Work Design & Architecture - **Company:** GE Aerospace - **Location:** Evendale, OH, United States (Remote available) - **Experience:** Expert - **Salary:** $200,000 - $300,000 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Systems, Generative AI - **Published:** November 12, 2026 - **Apply:** https://dejobs.org/x/x/F026E7C4F630449CB348818B6D6E916B/job/ ## About the Role Please note, preferred work location is Evendale, OH, however, remote employment will also be considered. Ability and willingness to travel at least 25%., * Bachelor's degree in business, human resources, organizational development, industrial-organizational psychology, technology or a related discipline. * 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 with job taxonomy design and decomposing work at task level, and translating emerging technology into workforce and organizational implications. * Demonstrated accountability for a method, specification or standard adopted outside your own reporting line. * Deep working knowledge of talent market intelligence / talent market research and how to apply it to enterprise strategies * Demonstrated 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. * 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, underlying technology and anticipate downstream needs or issues, * Graduate degree in business, organizational psychology, industrial-organizational psychology or a related discipline; peer-reviewed publication a plus. * Working knowledge of strategic workforce planning * Experience applying talent intelligence and data based decision-making * Deep expertise with measurement strategies, ROI and demonstrating impact. * Organizational design and effectiveness depth at scale, including STAR Model or equivalent expertise. * Ability to design new strategies and methodology where best practice 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 what they will and will not support. * Working knowledge of generative AI and agentic systems and their effect on knowledge and technical work. * Experience across 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. ## Description 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., Leads AI work composition projections * Own the evergreen projection of how AI interacts with tasks (e.g., augmentation, automation, expansion) * Synthesizes and heatmaps the forecasted change for jobs across the enterprise * Leads the redesign of work alongside the AI investments of the office of the Chief Data and AI Officer * Leads the enterprise perspective on external market developments in AI capability, human and agent interaction and job design Leads the AI and adjacent capability demand forecast * Establishes the skills and proficiencies required for jobs across the enterprise taxonomy * Forecasts how AI interacts with those skills * Infers the adjacent skills and prerequisite skills required for redesigned jobs as a critical source to inform both future capability building as well as career pathways for talent redeployment Leads the Foundational Job Taxonomy * Own market-informed titles, job families and role profiles as enterprise architecture, including the change-control process through which they are amended * Lead the transformation of the job taxonomy towards an enterprise catalog and governance structure Creates Career pathways for AI redeployment * Develop the enterprise career-pathways that leverage adjacent skills to inform talent redeployment when AI efficiency or job redesign creates a move adjacent work Organizational Design * Partner consultatively with the business, HR, technology teams and integrated talent leaders on organizational design where roles change because of AI, bringing the task evidence and the skills projections * Consult on team composition, employee and team capacity, and downstream implications for technology