Key skills
AIAnalyticsLeadershipProject Management
About this role
TikTok is seeking a motivated and detail-oriented HR Operations Specialist to support core Americas HR Operations processes across the employee lifecycle. The role will focus on high-volume operational workflows including offboarding, transfers/job changes, employee data changes, compliance-driven lifecycle actions, and other key HR operational processes. This person will manage process execution, improve handoffs across teams, and use AI capabilities to identify inefficiencies, strengthen controls, and drive automation. This is a full-time role that is located in the San Jose office.
Responsibilities
1. Core HR Operations Process Ownership: Own and manage high-volume Americas HR operational workflows across the employee lifecycle, including offboarding, transfers/job changes, employee data changes, and compliance-driven lifecycle actions, ensuring accuracy, timeliness, and strong employee/stakeholder experience;
2. AI-Driven Process Discovery & Optimization: Leverage AI tools and data analytics to identify bottlenecks, inefficiencies, and improvement opportunities across HR operations workflows; design and implement AI-powered solutions to streamline repetitive tasks, strengthen controls, and improve operational efficiency;
3. Stakeholder Partnership: Collaborate with HRBPs, Legal, IT, Payroll, Benefits, HRIS, and other cross-functional teams to ensure smooth execution of offboarding, transfers/job changes, and other HR operations cases; resolve escalations and deliver practical operational solutions;
4. Process & Procedures: Recommend, design, and document HR operations processes and procedures for offboarding, transfers/job changes, employee data changes, and related lifecycle workflows; maintain up-to-date SOPs and ensure they remain compliant with regional requirements;
5. Automation & Tool Development: Partner with HRIS and engineering teams to build and refine automated workflows for offboarding, job changes, data updates, and other HR operations transactions, reducing manual effort and improving data accuracy through AI-assisted validation and intelligent routing;
6. Data Analysis & Reporting: Monitor HR operations metrics across key workflows, such as case volume, cycle time, error rate, SLA adherence, compliance completion, and rework trends; generate insights using AI/analytics tools and present recommendations to leadership for continuous improvement;
7. Project Management: Lead and deliver projects to standardize HR Operations practices, roll out new tools and automations, and set up trainings for stakeholders across the Americas region.
Responsibilities
1. Core HR Operations Process Ownership: Own and manage high-volume Americas HR operational workflows across the employee lifecycle, including offboarding, transfers/job changes, employee data changes, and compliance-driven lifecycle actions, ensuring accuracy, timeliness, and strong employee/stakeholder experience;
2. AI-Driven Process Discovery & Optimization: Leverage AI tools and data analytics to identify bottlenecks, inefficiencies, and improvement opportunities across HR operations workflows; design and implement AI-powered solutions to streamline repetitive tasks, strengthen controls, and improve operational efficiency;
3. Stakeholder Partnership: Collaborate with HRBPs, Legal, IT, Payroll, Benefits, HRIS, and other cross-functional teams to ensure smooth execution of offboarding, transfers/job changes, and other HR operations cases; resolve escalations and deliver practical operational solutions;
4. Process & Procedures: Recommend, design, and document HR operations processes and procedures for offboarding, transfers/job changes, employee data changes, and related lifecycle workflows; maintain up-to-date SOPs and ensure they remain compliant with regional requirements;
5. Automation & Tool Development: Partner with HRIS and engineering teams to build and refine automated workflows for offboarding, job changes, data updates, and other HR operations transactions, reducing manual effort and improving data accuracy through AI-assisted validation and intelligent routing;
6. Data Analysis & Reporting: Monitor HR operations metrics across key workflows, such as case volume, cycle time, error rate, SLA adherence, compliance completion, and rework trends; generate insights using AI/analytics tools and present recommendations to leadership for continuous improvement;
7. Project Management: Lead and deliver projects to standardize HR Operations practices, roll out new tools and automations, and set up trainings for stakeholders across the Americas region.