SAP Master Data Steward

Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds. Improving how we live, work, and move today and for the next generation! We know that the only way a business thrives is if our people are thriving. That’s why we always put our people first.

Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you?

Transform the everyday with us!

Location: In this role you will support both Russ electric sites in Hingham, MA, primarily while also some travel to the Broken Arrow, OK facility.

Siemens Industry is seeking an SAP Master Data Steward to support our U.S.

-based manufacturing operations. Our facilities produce high-quality, make-to-order power distribution equipment and rely on accurate, reliable data to keep operations running smoothly.

In this role, you’ll be responsible for collecting, maintaining, analyzing, and improving SAP material master data to support manufacturing, supply chain, and business processes. You’ll work closely with multi-functional teams and spend meaningful time on-site, ensuring SAP data aligns with real-world manufacturing activities.

Our manufacturing processes include material handling, metal fabrication, powder coating and plating, final assembly, and quality testing
.

• Maintain and improve data accuracy in SAP's Material Master (MM) and Production Planning (PP) modules
• Support teams working with Sales & Distribution (SD) and Financial Accounting (FI) data
• Perform audits, research, and analysis to identify gaps in plant-level master data
• Collaborate with manufacturing, purchasing, planning, fabrication, logistics, and support functions
• Coordinate corrective actions with internal teams and other plants
• Represent the plant during routine meetings with Siemens ERP and technology partners
• Analyze large data sets to support consistent and standardized master data practices
• Evaluate, prioritize, and resolve master data issues that impact operations
• Clearly communicate data challenges and downstream impacts to process owners
• Promote a culture of continuous improvement
• Manage Engineering Change Notices (ECNs) from a materials and purchasing perspective
• Ensure new materials and changes are accurately set up in SAP with minimal financial impact
• Support research, training, and improvements related to SAP functionality
• Assist with automation and system improvements supporting supply chain activities
• Validate SAP transactions against physical manufacturing processes
• Use general knowledge of IT concepts, including networking, peripherals, and basic hardware, to support daily operations

• 2–4 years of experience in a manufacturing value chain, including fabrication
• Ability to connect physical manufacturing processes with SAP-based systems
• Bachelor’s degree in a related field or equivalent vocational training and professional experience
• Advanced proficiency with Microsoft Office 365
  , especially Excel

• APICS CSCP and/or CPIM
• Lean Manufacturing experience
• SAP certifications or formal SAP coursework

You’ll Benefit From

Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here:  The pay range for this position is $137K - $184K annually with a target incentive of 10% of the base salary. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location.

Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection…