Amazon

Payroll Controllership Manager, Payroll

Job Description

Amazon is seeking a Risk Manager to support the Payroll Controllership team . We’re looking for someone who can take lead in understanding complex Payroll processes and identify the full range of risks related to processes, regulatory compliance, organization, policy, and technology. This individual will ensure Payroll processes stay ahead of risks associated with process design, internal control effectiveness, computer system integration, and other relevant areas. This individual is expected to review automations, new application launches etc., from risk perspective.

Key job responsibilities
Successful candidates must be eager to dive deep into processes and have a proven record of delivering meaningful risks and recommendations to the business. The candidate should have demonstrated auditing skills, problem solving skills, systems and process knowledge, and a passion for customer service. Specific core responsibilities are below:

• Perform risk assessment of the services and functions in Payroll
• Perform end to end audits, including scoping, fieldwork, and reporting.
• Evaluate design and effectiveness of Payroll controls
• Evaluate policy and process exceptions
• Provide trainings that improve and raise the bar on controllership with respect to policies and other requirements
• Support external regulatory, SOX compliance and statutory auditor requests
• Review Business Continuity planning of Payroll functions.

About the team
Payroll Controllership’s mission is to safeguard assets of Amazon (including employee’s data) through continuous risk identification & mitigation, control monitoring & enhancement and persistently advocating for the highest controllership culture.- 5+ years of controls/audit/compliance/SOX roles experience
- 5+ years of finance or a related analytical field experience
- Bachelor's degree in finance, accounting or related field, or Bachelor's degree and 5+ years of Accounts Receivable or Account Payable experience
- 3+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience


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