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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Leader, AI Workforce Intelligence - **Company:** GE Aerospace - **Location:** Melbourne, FL, United States (Remote available) - **Experience:** Expert - **Salary:** $158,000 - $263,000 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Architecture, Data Control, Data Governance, HR Analytics, Agentic-AI, Model Inference - **Published:** November 12, 2026 - **Apply:** https://www.financialjobbank.com/job.asp?id=3514736110&tx=CT2927TTZ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role 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 human resources, organizational psychology, talent development, education, business, technology or a related discipline. * 8-12+ years of experience in HR (e.g., people analytics, talent COEs, workforce strategy, HR technology), business intelligence/analytics, or related fields * Experience designing data architecture and enabling intelligence infrastructure * Experience with skills taxonomies, skills-based talent models, job architecture, data governance, or adjacent domains * Proven ability to translate strategy into practical operating models, governance routines, and implementation plans * Strong program and project management capability, including driving cross functional initiatives in complex, matrixed environments * Experience working cross-functionally across HR, technology and business leadership to deliver enterprise solutions * 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 Preferred * Advanced degree in Human Resources, Organizational Development, Business, Industrial/Organizational Psychology, Strategy, or a related field * Working knowledge of AI inference and talent intelligence * Working knowledge of AI agents and how to apply agentic capabilities to data monitoring, interpretation, and synthesis * Experience building or scaling organizational design, organizational effectiveness, strategic workforce planning, or workforce transformation capabilities at enterprise scale * Experience operating in complex, matrixed, regulated, or global organizations * Experience applying talent intelligence and data based decision-making * Deep expertise with measurement strategies, ROI and demonstrating impact. * 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 * Strong consulting orientation, systems thinking, business acumen, financial orientation, and ability to simplify complexity for different audiences * Demonstrated change leadership experience, including helping leaders build adoption plans for new structures, operating models, workforce strategies, or ways of working ## 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. Reporting to the Executive Director, AI Workforce Strategy & Capability, the Leader of AI Workforce Intelligence is responsible for the design, build and delivery of the enterprise workforce inference data that will unlock both the AI workforce strategy and AI capability building (including AI job profile inferences, skills to job inference, skills to people inference, AI fluency inference form AI tool usage/quality of use). This leader will also drive the AI workforce strategy agent architecture - leading the team to build, train, and maintain utility agents, super agents, and orchestration layer which activate the data foundation across agentic monitoring, interpretation and synthesis (internal skills and job trends, external skills and job trends, talent supply, AI projection, AI workforce strategy, AI fluency, SWP supplementation)., Leads the establishing of AI workforce intelligence * Establish the job and work AI inference foundation at the task level, connected to skills, and overlay the interaction of AI on those skills and tasks * Establish the employee capability AI inference foundation, connecting employee profiles with skills, and overlaying the interaction of AI on those skills * Architect the capability constellation to create a connected view of jobs, skills, AI projections, and workforce capability to inform effective employee capability growth and meaningful investments in employee development * Integrate multi-source indicators of AI fluency hyper personalized to the job and work AI inference foundation * Set the enterprise standard for workforce inference, establish the validation approaches, confidence thresholds for the enterprise Lead the design and implementation of the AI workforce strategy agent architecture * Design, train and maintain the utility agents, super agents and orchestration layer spanning internal and external skills and job trends, talent supply, AI projection, AI workforce strategy, AI fluency and workforce-planning supplementation Enablement of talent strategy * Partner with stakeholders representing Future of Work and Capability Building to optimize projections and the utility of the intelligence layer and agents * Partner with Talent COE teams to integrate skills into talent systems, career architecture, and internal mobility programs * Own the standards, governance model, and operating routines that keep skills data current, usable, and aligned across the talent ecosystem. The role partners closely with People Analytics, HR Technology, and Talent COE leaders to ensure skills are consistently defined, governed, and applied across key talent processes