SAP S/4HANA Master Data Engineer — Factory Ops

Siemens Energy; Charlotte (NC); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Career growth

Supportive culture

Health benefits

Paid time off

401K match

Family benefits

Parental leave

Job summary

Siemens Energy in Charlotte, NC is seeking a Manufacturing Master Data Engineer to establish and govern the manufacturing data foundation for a new Power Transformer factory. You will manage master data in SAP S/4HANA, including MBoMs, routings, and work centers, to support safe and scalable operations.

Collaborating with engineering, manufacturing, planning, procurement, and supply chain teams, you will implement data governance processes, document standards, and ECNs, ensuring data integrity

Qualifications

• Bachelor's degree in Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Supply Chain Management, or a related technical discipline.
• 3+ years of experience in manufacturing, operations, supply chain, or master data management within an Engineer-to-Order (ETO), Configure-to-Order (CTO), or complex industrial manufacturing environment.
• Experience working with SAP ERP systems, preferably SAP S/4HANA, including manufacturing master data, bills of material (EBoM and MBoM), production planning, and change management processes.
• Understanding of manufacturing processes, material flow, production planning, and engineering change control.
• Strong analytical and problem-solving skills with the ability to interpret technical and manufacturing requirements and translate them into structured system data.
• Experience developing and maintaining process documentation, work instructions, and operational standards.
• Exceptional attention to detail and commitment to data quality and accuracy.
• Ability to work effectively in a fast-paced environment where new processes and systems are being established.
• Strong collaboration and communication skills with the ability to work across engineering, manufacturing, and business functions.

Responsibilities

• Partner with engineering, manufacturing, planning, procurement, and supply chain teams to govern master data in SAP S/4HANA.
• Develop and maintain manufacturing Bills of Materials (MBoMs), routings, work centers, production versions, document information records, resources, storage locations, tools, and shift calendars.
• Execute Engineering Change Notices (ECNs) and manage the implementation of engineering changes across manufacturing data structures.
• Attach manufacturing Bills of Material (MBoMs) to projects and maintain production versions to support production execution and material planning.
• Analyze data accuracy, identify discrepancies, and collaborate with stakeholders to resolve issues that may impact manufacturing operations.
• Ensure manufacturing master data remains accurate, consistent, and audit-ready across all applicable SAP plant views.
• Contribute to continuous improvement initiatives by identifying opportunities to streamline data management processes and improve operational effectiveness.
• Maintain a strong focus on quality, accuracy, and documentation to establish sustainable processes that support long-term factory growth.
• Strong collaboration and communication skills with the ability to work across engineering, manufacturing, and business functions.

Skills

Data governance

Data quality

Analytical

Documentation

Collaboration

Education

Bachelor's degree in Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Supply Chain Management, or related technical discipline

Tools

SAP S/4HANA

Job description

Siemens Energy in Charlotte, NC is seeking a Manufacturing Master Data Engineer to establish and govern the manufacturing data foundation for a new Power Transformer factory. You will manage master data in SAP S/4HANA, including MBoMs, routings, and work centers, to support safe and scalable operations.

Collaborating with engineering, manufacturing, planning, procurement, and supply chain teams, you will implement data governance processes, document standards, and ECNs, ensuring data integrity