Customer Data Steward: Data Quality & Governance

Mettler-Toledo International, Inc; Petaling Jaya; On-site; MYR 60,000 - 90,000; Full time

Benefits offered by this job

Medical and Dental benefits

MNC exposure

1.5 months contractual bonus

Job summary

Mettler-Toledo International, Inc in Malaysia is seeking a data governance professional to oversee data policies, quality, and lifecycle management across multiple business units, ensuring compliance with data standards and regulatory requirements.

You will coordinate data maintenance requests, monitor data quality metrics, train users on policy changes, and collaborate with SAP/ERP teams to ensure accurate master data and seamless data operations.

Qualifications

• Bachelor's degree in IT/CS/Data Science/Business Admin or related field.
• Minimum 2 years of experience in data management, working with SAP/ERP systems like SAP CRM/ECC.
• Advanced degrees or certifications in data management, data governance, or related areas are advantageous but not mandatory.

Responsibilities

• Ensure adherence to data governance policies and business rules.
• Oversee data maintenance requests ensuring alignment with policies.
• Monitor and address data quality issues across the data lifecycle.
• Collaborate with cross-functional teams to educate on data policies and processes.

Skills

Data governance

Data management

SAP/ERP

Cross-cultural collaboration

Data security & privacy

Stakeholder management

Education

Bachelor's degree in IT/CS/Data Science/Business Admin

Tools

SAP CRM/ECC

Data cataloging tools

Metadata management

Job description

Mettler-Toledo International, Inc in Malaysia is seeking a data governance professional to oversee data policies, quality, and lifecycle management across multiple business units, ensuring compliance with data standards and regulatory requirements.

You will coordinate data maintenance requests, monitor data quality metrics, train users on policy changes, and collaborate with SAP/ERP teams to ensure accurate master data and seamless data operations.