Excellent interpersonal skills with the ability to communicate and influence at all levels in a matrix organization- Proficient in English; verbal, visual, written and listening- Proficiency in using MS-Excel, including advanced functions such as importing & exporting data, pivot tables, and macros- Minimum 2+ years of Lean Six Sigma project management techniques- Certified Lean Six Sigma Green Belt - Proficient in lean six sigma tools, such statistics, SPC, hypothesis testing, regression, forecasting, etc.- Proficient in obtaining, organizing, and analyzing data to make fact-based decisions and drive RCA- Demonstrated Project Management experience, including managing a project portfolio, driving a timeline to completion, following-up, organizing multiple action plans within multiple stakeholdersThis position is for Payroll Operational Excellence Manager (OE - PI Manager, Payroll).The Global Payroll Operational Excellence team is seeking a highly skilled and motivated individual to pull and analyze data with ease, drive process improvements, standardize our processes and eliminate the root cause of defects within the current metric reporting systems. This is an exciting opportunity to join a stable team in a huge growth area for Amazon.**Key Responsibilities**:- Lead Lean Six Sigma Yellow/Green Belt projects for metrics improvement through DMAIC approach- Act as a project manager for small and medium size projects by directing, supporting and coaching project(s) team members and stakeholders and reporting on the project progress and status- Collaborate with payroll operations, payroll upstream teams and technology teams on joint initiatives and reports- Work within various time constraints to meet critical business needs, deep dive large datasets to uncover trends and identify root causes for performance misses, while ensuring accuracy of data reported out.- Communicate with Stakeholders, in a manner that enables them to have a common understanding of the projects/metrics status, risks, and decision points of system or process changes- Represent Global Payroll OE in local and global meetings/conference callsKey job responsibilitiesLead Lean Six Sigma Yellow/Green Belt projects for metrics improvement through DMAIC approach- Act as a project manager for small and medium size projects by directing, supporting and coaching project(s) team members and stakeholders and reporting on the project progress and status- Collaborate with payroll operations, payroll upstream teams and technology teams on joint initiatives and reports- Work within various time constraints to meet critical business needs, deep dive large datasets to uncover trends and identify root causes for performance misses, while ensuring accuracy of data reported out.- Communicate with Stakeholders, in a manner that enables them to have a common understanding of the projects/metrics status, risks, and decision points of system or process changes- Represent Global Payroll OE in local and global meetings/conference callsA day in the lifePull and analyze data with ease, drive process improvements, standardize our processes and eliminate the root cause of defects within the current metric reporting systems.Meeting with stakeholders.Paper writingProvide six sigma trainingsAbout the teamThe Global Payroll Operational Excellence team is seeking a highly skilled and motivated individual to pull and analyze data with ease, drive process improvements, standardize our processes and eliminate the root cause of defects within the current metric reporting systems. This is an exciting opportunity to join a stable team in a huge growth area for Amazon.Heredia, H, CRI- 2-3 years of experience in managing and publishing dashboards- Ability to handle confidential information appropriately- Certified Lean Six Sigma Black Belt- Advanced degree in Engineering, Statistics, Economics, MS or MBA- Process, manufacturing, or engineering background with an ability to understand process workflow and throughput through the operation- Knowledge of SQL, Power-Bi, Tableau and Python- Demonstrated experience pulling and analyzing data to aid root cause identification and process improvement initiatives across the network
