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Mettler Toledo AG in Petaling Jaya seeks a Data Governance Specialist to oversee data maintenance requests, ensure alignment with data policies and business rules, and act as the go-to person for data-related inquiries. You will advocate for governance practices among teams and users, guiding transitions with minimal disruption.
You will monitor data quality, cleanse data with business colleagues, and coordinate cross-department efforts to sustain accurate, compliant data across the data
Ensure adherence to established data governance policies and business rules, advocating for their importance among team members and business usersRequest, approve and/or oversee data maintenance requests, ensuring they align with data policies and business rulesMonitor and assess data quality metrics, taking proactive steps to address any quality issues that arise within the data lifecycleRegularly review and cleanse data to maintain accuracy, integrity, and compliance with data quality standards, in conjunction with business users where applicableGuide and support business users through changes in data management processes, data policies, and/or business rules to ensure smooth transitions and minimal disruptionProactively address and resolve data issues from business users through diligent troubleshooting and comprehensive analysisServe as the go-to person for data-related queries from all potential stakeholders, providing guidance and insights as neededCollaborate with cross-departmental business users, training and educating them about data policies, business rules, and process standardsCoordinate and facilitate collaboration among multiple departments and business units to ensure seamless execution of end-to-end data maintenance tasks as necessaryFoster and maintain collaboration with Data Governance and other departments to resolve data-related issues and facilitate improvements in data management processesFoster strong relationships and communication between local units and shared business centers to ensure consistent data practices, share insights, and coordinate data management effectively