Strategic Production Planning & Execution Specialist

GE Vernova; Venezia; On-site; EUR 28,000 - 42,000; Full time

Job summary

GE Vernova, Inc. is seeking a Planning Execution Specialist to coordinate cross-functional initiatives that optimize production priorities, sequencing, and material flow.

You will work with Operations, Procurement and Supply Chain to monitor capacity and mitigate delivery risks, ensuring alignment of planning systems with real-time execution needs. Your work directly impacts production efficiency, inventory levels, and on-time delivery performance, with strong emphasis on data-driven decisions

Qualifications

• Bachelor’s or Master’s degree in Engineering (Mechanical, Industrial, or equivalent experience).
• Fluency in Italian and solid English skills (B2+ level).
• Pay transparency notes for Italy: detailed salary ranges and related benefits included in the posting.

Responsibilities

• Coordinate short- and mid-term planning activities, ensuring alignment with plant capacity and material availability.
• Monitor procurement feedback and coordinate actions to reduce delays and delivery risks.
• Reschedule production plans based on updated constraints and system inputs.
• Measure production performance and plant capacity to support continuous improvement.
• Forecast long lead-time materials to anticipate needs beyond planning horizon.
• Provide monthly reporting on production scheduling to management.

Skills

Coordination

Data-driven decisions

Production planning

Education

Bachelor’s or Master’s degree in Engineering (Mechanical, Industrial, or equivalent experience)

Job description

GE Vernova, Inc. is seeking a Planning Execution Specialist to coordinate cross-functional initiatives that optimize production priorities, sequencing, and material flow.

You will work with Operations, Procurement and Supply Chain to monitor capacity and mitigate delivery risks, ensuring alignment of planning systems with real-time execution needs. Your work directly impacts production efficiency, inventory levels, and on-time delivery performance, with strong emphasis on data-driven decisions