Data Governance Manager/Snr Manager

ST Engineering; Singapore; On-site; SGD 150,000 - 220,000; Full time

Job summary

ST Engineering is seeking a Data Governance Senior Manager/Manager to steward HR master data across SAP SuccessFactors Employee Central and related HR systems. You will partner with People Analytics, HR Tech, and global teams to ensure data accuracy, standardisation, and compliance.

You will drive data integration, governance controls, and data migration initiatives while supporting the Global Job Architecture and system enhancements to enable analytics and future AI-enabled capabilities.

Qualifications

• 8-15 years of experience in HRIS, HR Operations, Master Data Management, Data Governance, or HR Technology.
• Strong hands-on experience with SAP SuccessFactors Employee Central.
• Experience supporting HR system implementations, enhancements, or data migration projects.
• Experience working with global/regional employee populations and HR data structures.
• Strong attention to detail, analytical and problem-solving skills.
• Strong stakeholder management and communication skills.
• Ability to manage multiple priorities and projects.
• Process improvement and continuous improvement mindset.
• Experience in large and complex organisations preferred.

Responsibilities

• Establish and maintain data standards, validation rules, and master data maintenance processes.
• Monitor and resolve data quality issues across the employee lifecycle.
• Support the implementation and ongoing administration of ST Engineering's Global Job Architecture framework and related HR system projects from a data perspective.
• Own global data standards, definitions, and controls across SAP SuccessFactors Employee Central and related systems.
• Support employee and organisational data integrations across SuccessFactors and connected systems.
• Support the integration and harmonisation of employee data across Singapore, the United States, and other international entities.
• Manage and monitor data flows between SuccessFactors and platforms like JobKred, payroll, learning systems, Active Directory, and analytics platforms.
• Support audit reviews and data control activities.
• Provide operational support and guidance to HR stakeholders on master data matters.
• Deliver training and awareness sessions on HR data standards and best practices.
• Drive process improvements to improve data quality, operational efficiency, and data governance compliance.

Skills

Data governance

SAP SuccessFactors

Master data management

Data integration

Stakeholder management

Analytical thinking

Project management

Communication skills

Education

Bachelor's degree in HR, IS, BA, CS

Tools

SAP SuccessFactors Employee Central

JobKred

Payroll systems

Active Directory

Analytics platforms

Job description

The Data Governance Senior Manager/Manager is responsible for the day-to-day management, quality, integrity, and governance of employee and organisational master data across ST Engineering's HR systems.

Reporting to the People Analytics & Data Strategy Lead, the role serves as the operational custodian of HR master data and ensures that workforce information within SAP SuccessFactors Employee Central and other connected systems is accurate, complete, standardised, and compliant.

The role will play a key role in supporting ST Engineering's HR growth journey, including supporting the implementation of Global Job Architecture, SuccessFactors enhancements, global employee data harmonisation, HR system integrations, and data migration activities. Working closely with HR Technology, HR Shared Services, HR Business Partners, IT, and external vendors, the role ensures a trusted people data foundation that supports HR operations, reporting, workforce planning, analytics, and future AI-enabled capabilities.

HR Master Data Management

• Establish and maintain data standards, validation rules, and master data maintenance processes.
• Monitor and resolve data quality issues across the employee lifecycle.
• Support the implementation and ongoing administration of ST Engineering's Global Job Architecture framework and related HR system implementation and enhancement projects from a data management perspective.
• Own global data standards, definitions, and controls across SAP SuccessFactors Employee Central and related systems.

Data Integration & System Support

• Support employee and organisational data integrations across SuccessFactors and connected systems.
• Support the integration and harmonisation of employee data across Singapore, United States, and other international entities.
• Manage and monitor data flows between SuccessFactors and platforms such as JobKred, payroll systems, learning systems, Active Directory, analytics platforms, and other downstream applications.

Data Governance, Compliance & Controls

• Support the implementation of HR data governance standards and procedures.
• Monitor compliance with internal policies and regulatory requirements, including PDPA and GDPR.
• Support audit reviews and data control activities.

Stakeholder Support & Continuous Improvement

• Provide operational support and guidance to HR stakeholders on master data matters.
• Deliver training and awareness sessions on HR data standards and best practices.
• Drive process improvements to improve data quality, operational efficiency, and data governance compliance.

iii) Key Requirements

Education

• Degree in Human Resources, Information Systems, Business Administration, Data Management, Computer Science, or a related discipline.

Experience

• 8-15 years of experience in HRIS, HR Operations, Master Data Management, Data Governance, or HR Technology.
• Strong hands-on experience with SAP SuccessFactors Employee Central
• Experience supporting HR system implementations, enhancements, or data migration projects.
• Experience working with global/regional employee populations and HR data structures.
• Strong attention to detail, analytical and problem-solving skills.
• Strong stakeholder management and communication skills.
• Ability to manage multiple priorities and projects.
• Process improvement and continuous improvement mindset.
• Experience in large and complex organisations preferred.