About the Organization:
Our client a global leader in data storage solutions, enabling organizations worldwide to manage and protect their data.
Job Details:
Role Summary
We are seeking for People & Places Data & Knowledge Operations Associates 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 SuccessFactors, SharePoint, and related systems contain data that is accurate, consistently structured, findable, and ready to support AI tools, automated workflows, and redesigned HR processes.
This is not an engineering, analytics, or system administration role. It is designed for someone who is detail-oriented, process-focused, and comfortable doing precise, methodical work directly in enterprise systems — following established standards and flagging issues clearly when they arise.
Key Responsibilities
1. Data Cleanup & Validation
Identify and resolve missing, duplicate, inconsistent, or outdated records using established procedures
2. Content Organization & Knowledge Management
3. Cross-System Data Consistency
Support alignment of people data across SAP SuccessFactors, Gloat, Affinity, SharePoint, and related tools
4. AI & Agent Readiness Support
Follow checklists and quality standards for structuring content to improve AI performance (e.g., metadata, file naming, tagging conventions)
5. Workflow & Documentation Support
Required Qualifications
1–3 years of experience in HR operations, data entry/maintenance, business administration, or similar roles
Comfortable working directly in SAP, SharePoint, and Microsoft 365 tools (Teams, Excel, OneDrive)
Strong attention to detail with a consistent habit of keeping data clean and organized
Ability to follow structured processes and complete precise, repetitive work with high accuracy
Good communication skills and willingness to ask questions when something is unclear
Preferred Qualifications
Experience supporting data cleanup, content structuring, or system transitions
Familiarity with AI concepts, Microsoft Copilot, or enterprise search tools
Understanding of metadata, file hygiene, or basic knowledge management practices
Comfort learning new tools quickly in a fast-moving transformation environment
What Success Looks Like
People & Places data in SAP SuccessFactors and SharePoint is consistently accurate and well-organized
AI tools produce more reliable outputs because the underlying data is clean and accessible
Workflow redesign projects move faster because data issues are identified and resolved quickly
Teams find content easily — and trust what they find
Each associate becomes the go-to execution resource for data hygiene and content organization within their assigned platform or domain
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