Data & Knowledge (HR Ops) / One North / UP$4200

Location
Islandwide
Job Type
Full-time
Experience
Mid
Category
General
Salary
$3,300 - $4,200
Posted
12 hours ago
Expires
May 28, 2026
Views
1

Job Details

Vacancies

1 position

Experience Required

No experience required

Job Description

To provide hands-on, execution-focused support for data cleanup, content organization, validation, and AI readiness across core People &Places platforms. These roles focus on day-to-day delivery — ensuring that SAP Success Factors, SharePoint, and related systems contain data that is accurate, consistently structured, findable, and ready to support AI tools, automated workflows, and redesigned HR processes.

Data Cleanup & Validation

  • Perform routine data correction, normalization, and validation across People & Places data sets in SAP SuccessFactors and related platforms
  • Identify and resolve missing, duplicate, inconsistent, or outdated records using established procedures
  • Update fields, naming conventions, metadata, and controlled lists to maintain consistency standards
  • Maintain audit trails and documentation for all changes made

Content Organization & Knowledge Management

  • Organize People &Places content in SharePoint using approved structures, metadata schemas, and governance rules
  • Tag, label, archive, andversion documents so they are discoverable by AI tools and search
  • Maintain policy, FAQ,and process documentation libraries to keep them current and AI-ready
  • Support content migrations or reorganizations during workflow redesign efforts

Cross-System Data Consistency

  • Support alignment of people data across SAP SuccessFactors, Gloat, Affinity, SharePoint, and related tools
  • Identify and flag discrepancies between systems that impact reporting, workflows, or AI outputs
  • Assist with data validation activities during migrations, integrations, or platform transitions
  • AI & Agent Readiness Support
  • Prepare and validate datasets used by AI-enabled tools, agents, and workflows
  • Follow checklists and quality standards for structuring content to improve AI performance (e.g., metadata, file naming, tagging conventions)
  • Flag data risks that could impact AI accuracy, output reliability, or trust
  • Support testing and validation of AI outputs by confirming underlying data accuracy and completeness

Workflow & Documentation Support

  • Maintain simple trackers for data cleanup progress and issue resolution
  • Assist with documenting data flows and source systems for HR and Workplace processes
  • Help draft basic instructions, checklists, and knowledge articles as needed
  • Partner closely with the Transformation BA and People Analytics team to prioritize and resolve data issues

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOL job application platform - GO Mobile.

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PERSOL Singapore Pte Ltd • RCB No.200007268E • EA License No. 01C4394• Reg No: R1440784 (Foo May Cheng) 

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