The Data Steward plays a critical role in ensuring the accuracy, integrity, and governance of master data across global supply chain domains. This role oversees key data assets throughout their lifecycle, ensuring they meet business, operational, and system requirements. The position delivers advanced digital analytics, automation, BI reporting, and data-driven insights to directly support the organization’s efficiency goals and priorities. Key Responsibilities Own and manage master data across assigned domains, ensuring accuracy, completeness, and compliance with global data governance standards. Execute and monitor data quality processes, performing data validation, profiling, cleansing, and continuous improvement of master data across systems. Serve as the primary point of contact for domain data issues, leading root‑cause analysis, coordinating fixes, and driving long‑term preventive actions with cross‑functional teams. Champion continuous improvement initiatives, translating data challenges into structured improvement projects that promote governance and process optimization. Develop and deliver domain‑focused presentations to communicate data insights, quality metrics, and improvement recommendations to global and regional stakeholders. Influence stakeholders and build alignment around data quality expectations, governance policies, and domain‑specific standards. Document data definitions, rules, workflows, ownership structures, and governance procedures to ensure clarity and enable scalability across global teams. Support cross‑cultural collaboration, ensuring smooth communication and alignment with global markets, regions, and functional partners. Qualifications 2+ years of experience in analytics or a similar role (experience in shared services or global hub preferred). Experience working with data and processes within one or more supply chain domains, such as Plan, Source, Make, or Deliver. Experience working with ERP systems and SAP Master Data Governance (SAP MDG) for managing, validating, and maintaining master data. Digital and Analytical Qualifications Delivers advanced digital analytics, automation solutions, and BI reporting to support organizational efficiency. Demonstrates strong technical skills in Python, SQL, RPA tools, and Business Intelligence platforms. Translates complex data into clear, actionable insights through effective analytics and data storytelling. Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here. Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status or any other legally protected characteristic or conduct. #J-18808-Ljbffr