Job Description Summary The Simulation PMO will drive program management discipline across GE Vernova's Supply Chain Development simulation portfolio - coordinating Greenfield and Brownfield simulation initiatives, 2D/3D simulation cohorts, and cross-functional stakeholder engagement. This role ensures simulation programs are delivered on schedule, resourced appropriately, and tracked against enterprise capital allocation priorities. Job Description Roles and Responsibilities * Manage the end-to-end program schedule for Greenfield/Brownfield simulation initiatives, including the top-priority sites * Own tracking and reporting for 2D and 3D simulation cohorts - scope, attendees, timing, and location logistics * Support coordination with internal & external partners on simulation mobilization efforts * Maintain program governance artifacts: charters, RAID logs, status reporting,



steering committee materials * Partner with Simulation Leaders and Business/Engineering stakeholders to ensure alignment on scope and deliverables * Support Kaizen event planning and execution logistics tied to simulation programs * Drive data integrity and reporting for simulation portfolio KPIs Identify resource gaps and flag capacity constraints across the team before they become delivery risks Required Qualifications * Bachelor's degree in Engineering, Operations, Industrial Engineering, or related field * Minimum 6 years of experience in manufacturing operations, supply chain, or lean/operations excellence roles * Demonstrated lean background - VSM, kaizen facilitation, flow design, or equivalent hands-on experience in an industrial setting * Proven track record running a program or functional PMO: pipeline management, multi-stakeholder coordination, and executive reporting Desired Characteristics * Familiarity with simulation concepts (2D DES, digital twin) - direct modeling experience is not required, but credibility with technical teams is * Experience working with or across Industry 4

📌 Simulation PMO (Madrid)
🏢 GE Vernova
📍 Madrid