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About the Team
Uber's People Operations team bridges high-level strategy with the daily employee experience. As part of a specialized Tier 2 ecosystem, the team solves complex challenges and manages critical employee data and lifecycle events. While AI and automation handle routine tasks, specialists provide deep expertise and human touch for important employee milestones.
About the Role
The Employee Data Specialist ensures the integrity of information powering Uber's global workforce. You will manage complex data escalations, lead regional data audits, and execute employee lifecycle events with precision, serving as the functional expert for the HRIS system.
Key Responsibilities
• Own and resolve Tier 2 escalations with clear, empathetic, policy-aligned guidance beyond standard scripts
• Execute complex transactions and lifecycle events (new hires, job changes, terminations) ensuring system integrity
• Act as liaison between employees, vendors, and Centers of Excellence to resolve intricate inquiries and ensure service consistency across the region
• Operationalize new programs and participate in UAT for system enhancements, ensuring regional nuances are incorporated into global designs
• Research and resolve data discrepancies in collaboration with Payroll, IT, and other People Ops teams
• Refine Tier 0 (Self-Service) and Tier 1 knowledge content to help AI solve more problems before escalation
• Analyze case trends in ServiceNow and HRIS data to identify friction points and recommend scalable, predictive solutions
• Monitor data quality through regular audits, identify issues, and recommend process improvements
• Prepare reports and dashboards for People Ops leadership as needed
• Support User Acceptance Testing for system enhancements and new functionality
Requirements
• Bachelor's degree or equivalent work experience
• Minimum 2 years of HR experience with direct experience in HR data management
• Preferred: Experience in shared services or centralized HR environment
• Preferred: Familiarity with HRIS systems (Workday, Oracle, or similar) and transaction processing
• Strong attention to detail with proven data entry accuracy and compliance awareness
• Ability to identify root causes and suggest process fixes rather than treating symptoms
• Ability to manage confidential information with discretion
• Strong problem-solving and analytical skills
