Assistant Manager, Employee Data Management

Job Purpose

The Assistant Manager, Employee Data Management leads a team responsible for accurate and timely maintenance of employee data and HR transactions within the Shared Services environment. The role oversees SAP employee data administration, supports employee lifecycle and payroll-related processes, ensures compliance with data governance, audit and confidentiality requirements, and drives continuous improvement to strengthen service delivery and operational efficiency.

Key Responsibilities

Lead Employee Data Management Operations

. Motivate, provide guidance, coaching and operational support to team members, while monitoring quality, productivity and adherence to standard procedures and completed accurately within agreed service levels.

. Act as the escalation point for complex employee data matters and coordinate timely resolution with relevant stakeholders.

Manage SAP Employee Data and Transactions

. Ensure accurate, timely input of employee and company data in SAP, aligned with audit, compliance, and confidentiality requirements.

. Maintain complete supporting documentation and transaction records in accordance with established controls.

Support and collaboration with Key Stakeholders

. Partner with Payroll and relevant HR teams to ensure employee data changes are accurately reflected for payroll processing and other downstream HR activities.

. Coordinate with Business Units, HR Business Partners, Group HR and Information Systems teams on policy, process and system changes.

Ensure Governance, Compliance and Data Confidentiality

. Ensure compliance and data governance by handling employee data in accordance with internal policies, approval requirements, audit controls, confidentiality standards, SOPs, access controls and data-management requirements.

. Support audit and risk management by retrieving records, responding to internal and external audit queries, addressing control gaps, and promptly escalating risks, exceptions or non-compliance.

Drive Process Improvement and Reporting

. Drive process improvement by identifying gaps, analyzing root causes, and implementing workflow, system and control enhancements with stakeholders.

. Support operational effectiveness by maintaining SOPs and training materials and preparing reports and metrics for performance and workload management.

Qualifications and Experience

. Bachelor's degree or Diploma in Human Resources, Business Administration, Information Systems or a related discipline.

. Relevant experience in HR operations, employee data administration or HR Shared Services, including responsibility for high-volume and time-sensitive transactions.

. Hands-on experience with SAP HR/HCM or a comparable Human Resources Information System is strongly preferred.

. Prior experience supervising, guiding or leading an operational team is required.

. Experience supporting payroll inputs, audit requirements, service-level delivery and process improvement will be advantageous.

Knowledge, Skills and Attributes

Employee data and HR operations: Good understanding of employee lifecycle processes, HR records administration and the interaction between HR data and payroll.

Systems capability: Confident in performing and reviewing HR system transactions, with strong attention to data accuracy and completeness.

People leadership: Able to organize work, coach team members, manage priorities and maintain consistent service standards during peak periods.

Governance and confidentiality: Demonstrates sound judgement when handling sensitive employee information and controlled transactions.

Problem solving and improvement: Able to investigate discrepancies, identify root causes and translate findings into practical process improvements.

Stakeholder management: Communicates clearly and works effectively with Payroll, HR teams, Business Units, Information Systems and other internal stakeholders.

Personal effectiveness: Detail-oriented, organised, accountable and able to manage multiple deadlines in a shared-services environment.

Success Measures

. Accuracy, completeness and timeliness of employee data transactions.

. Achievement of agreed service levels and operational deadlines.

. Effective resolution of data discrepancies, queries and escalations.

. Compliance with SOPs, approval controls, audit requirements and confidentiality standards.

. Team capability, workload management and quality consistency.

. Implementation of sustainable process and system improvements.