Master Data Expert- SAP Manufacturing

For this U.S. based position, the expected compensation range is $98,400 - $147,600 per year, which includes base pay and short-term incentive.

The compensation range for this full-time position applies to candidates located within the United States. Our salary ranges are determined by reviewing roles of similar responsibility and level. Within the salary range, individual pay is determined by several factors including performance, knowledge, job related skills, experience, and relevant education or training. Schneider Electric also offers a comprehensive benefits package to support our employees, inclusive of medical (with member reward points), dental, vision, and basic life insurance, Benefit Bucks (credits to apply towards your benefits), flexible work arrangements, paid family leaves, 401(k) + match, well-being and recognition (including service anniversary) programs, 12 holidays per year, 15 days of paid time off per year (pro-rated in the first year of employment based on start date), opportunity to purchase company stock (eligibility depends on start date), and military leave benefits.

You must submit an online application to be considered for the position. The Company will accept applications on an ongoing basis until the position is filled.

If you believe this job posting is not compliant with applicable state pay transparency laws in the U.S., please notify the Company as soon as possible upon discovery by completing this form Job Posting
Compliance Form.

Step into a pivotal role at the forefront of digital innovation! Join a dynamic, forward‑thinking team where your expertise in manufacturing, plant maintenance, and quality processes will directly shape the future of Schneider Electric’s SAP platform. At Schneider Electric, we empower our customers through digitization and operational excellence — and high‑quality master data is core to that mission. As a Master Data Expert, you’ll leverage your business process knowledge to ensure manufacturing, plant maintenance, and quality‑related data is accurately transformed, validated, and aligned with our strategic migration to SAP S/4

HANA Titan. This is a unique opportunity to influence how data flows through our systems and supports business success—without needing to code or configure.

• Collaborate in an agile environment with business and technical teams to identify key manufacturing, plant maintenance, and quality data objects and define business rules that support accurate data migration and lifecycle processes.
• Own the creation, positive and negative testing, and validation of data templates and tools to ensure data quality and readiness for upload into SAP systems.
• Partner with the Digital Technology Center (DTC) team in India to align on data migration requirements and ensure tools and processes support business needs.
• Support data analysts during data preparation, migration, and validation phases, helping to identify and resolve data quality issues and verifying results directly in SAP.
• Work closely with business users to understand evolving data needs and support enhancements throughout the data lifecycle.
• Contribute to related projects involving master data applications that integrate with the systems platform.
• Ensure sustainable, business‑aligned solutions for master data management that support manufacturing, plant maintenance, and quality operations, including mass and individual creation/updates/deletions of relevant objects.

TITAN

• Strong understanding of manufacturing, plant maintenance, and quality business processes and the data that supports them.
• 5+ years of experience working with manufacturing/quality master data; experience with SAP PP (Production Planning), PM (Plant Maintenance), and QM (Quality Management) modules is a strong plus.
• Highly organized, detail‑oriented, and thorough in managing data accuracy and consistency.
• Proficient in Excel (VLOOKUP, pivot tables, macros) and comfortable working with data queries (e.g., SQL).
• Familiarity with SAP ECC 6.0 and/or S/4
  
  HANA data models, especially in manufacturing, plant maintenance, and quality domains.
• Strong collaboration…