Payroll Accounting Manager

Overview

• Lead payroll accounting operations, ensuring compliance with GAAP and SOX standards in a dynamic, hybrid work environment.
• Collaborate with HR and finance teams to streamline payroll processes and enhance data accuracy.
• Supervise and mentor a high-performing team, fostering professional growth and development.
• Prepare and analyze detailed payroll accounting reports to support strategic decision-making.
• Drive continuous improvement initiatives to optimize payroll accounting systems and workflows.
• Ensure timely resolution of payroll discrepancies and inquiries with internal and external stakeholders.
• Support audits and compliance reviews, addressing labor cost-related inquiries effectively.
• Utilize advanced tools and systems to enhance payroll accounting efficiency and accuracy.

Key Responsibilities & Duties

• Oversee month-end close processes, including journal entries and financial statement analysis.
• Develop and enforce policies for employee data management within payroll systems.
• Prepare and record annual bonus accruals and quarterly PTO adjustments accurately.
• Review and finalize balance sheet reconciliations and flux analysis reports.
• Provide training and constructive feedback to team members to enhance their performance.
• Support external audits by providing detailed payroll accounting documentation.
• Utilize Oracle Fusion, Microsoft Dynamics 365, and Alteryx for efficient payroll accounting operations.
• Ensure adherence to GAAP and SOX regulations in all payroll accounting activities.

Job Requirements

• Bachelor’s degree in Accounting, Finance, or a related field preferred.
• Minimum of 10 years of full-cycle payroll accounting experience required.
• Comprehensive knowledge of payroll processes, tax calculations, and benefits administration.
• Proficiency in Oracle Fusion, Microsoft Dynamics 365, and Alteryx is essential.
• Strong understanding of GAAP and SOX compliance requirements.
• CPA designation and public accounting experience are highly desirable.
• Ability to manage large datasets and perform complex data analysis effectively.
• Exceptional communication skills and a customer-focused approach.