AI Workforce Transformation & Organizational Design – Project Manager
Listed on 2026-06-09
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Management
Operations Manager, Program / Project Manager, Talent Manager
Job Description Summary
At GE Vernova, we’re focused on accelerating the energy transition by helping the world electrify and decarbonize. As the company continues to evolve, we are reimagining how work gets done—leveraging AI, automation, robotics, and modern operating models to drive greater speed, scale, efficiency, and employee impact. We are seeking an AI Workforce Transformation & Organizational Design Project Manager to help shape the future of work across GE Vernova.
This role sits at the intersection of strategy, people, process, and technology and will play a key part in translating emerging capabilities into practical workforce, organization design, and operating model solutions. This is an exciting opportunity for a forward‑thinking leader who thrives on complexity, can influence across a matrixed enterprise, and is energized by the challenge of building new ways of working that enable both business performance and a great employee experience.
The AI Workforce Transformation & Organizational Design Project Manager will lead enterprise‑wide efforts to integrate AI, robotics, and automation into how work is designed, organized, and executed. This individual will partner closely with business leaders, Supply Chain, HR, Finance, DT, and other teams to identify AI opportunities, shape future‑state models, and ensure transformation efforts deliver measurable business value.
The ideal candidate combines strong program leadership with organizational design expertise, a practical understanding of AI‑enabled change, and the ability to connect strategic ambition with real‑world execution.
Key Responsibilities Enterprise AI Transformation & Program Leadership- Lead and contribute to cross‑functional initiatives to identify, pilot, and implement AI‑enabled solutions across GE Vernova businesses and functions.
- Partner with business leaders, Supply Chain, HR, Finance, DT, and other teams to ensure AI initiatives incorporate organization implications required to effectively transition from current to future state.
- Assess the implications of AI adoption on organizational structure, role design, skills, workforce models, and employee experience.
- Build implementation roadmaps, governance structures, milestones, and success measures for AI transformation efforts, including tracking of financials/value realized.
- Ensure people, process, and business strategies are aligned to support scalable and sustainable adoption of AI solutions.
- Serve as a trusted advisor to Lean and continuous improvement efforts, ensuring AI opportunities are incorporated into process redesign.
- Identify opportunities to eliminate non‑value‑added work, improve efficiency, and enhance productivity through AI, automation, and robotics.
- Coordinate enterprise HR engagement in Robotics & Automation initiatives across businesses and functions.
- Help establish consistent standards and best practices for the people side of automation transformation.
- Stay current on emerging AI, automation, and workforce trends and translate insights into practical recommendations for the business.
- Bachelor’s degree required; advanced degree in Business, Human Resources, Organizational Psychology, Industrial Engineering, Technology, or a related field preferred.
- 8+ years of experience in organizational effectiveness, HR transformation, process improvement, digital transformation, Lean, or enterprise program management.
- Proven experience leading complex, cross‑functional enterprise initiatives.
- Strong understanding of organizational design, workforce planning, and job/role redesign.
- Experience with Lean methodologies, continuous improvement, or operational excellence programs.
- Familiarity with AI, automation, robotics, or digital transformation and their workforce implications.
- Strong stakeholder management, facilitation, and executive communication skills.
- Demonstrated analytical, project management, and change leadership capabilities.
- Experience in a large, matrixed, global organization.
- Background partnering with operations, manufacturing, or industrial businesses.
- Exposure to RPA, Generative AI,…
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