Finops Risk Expert - AR, GAR QC And Governance

Finops Specialist

GAR (Global Accts Rec) is looking for a proactive, curious, customer and people centric FinOps Specialist to build, synchronize and manage critical processes in O2C lifecycle. Role involves use of controls, both systematic and manual, keen attention to detail and targeted statistical monitoring to ensure the process is accurate and in compliance with financial policies. This person should be able to perform process dive deeps, question status quo to improve processes/systems and a multitasker with good communication skills and stakeholder management. The successful candidate will be cooperating with a broad management team, controllers and other subject matter experts across the globe. Will have a good desire to harmonize and improve efficiency and to exceed expectations in a dynamic, fast-paced environment. Foster team unity as you build relationships while working closely with cross functional teams and fellow managers to continually reach GAR goals. As part of our commitment to your development, the successful candidate will also gain exposure to cross-functional projects and initiatives.

Key job responsibilities:

• Design and implement standard operation procedure changes for enhancing controllership. Coordinate and align with operational managers on implementation of procedures.
• Be a controllership ambassador for GAR channels and perform process self-inspections/investigations leveraging AI applications.
• Coordinate with controllers and compliance teams.
• Identify control automation opportunities and work with respective functions to implement suggestions.
• Ensure company established policies and procedures are followed, and staff is adequately trained.
• Collaborate with external upstream Amazon organizations and interact with senior management.
• Act as an escalation point in resolving complex outstanding issues with internal and external stakeholders.
• Oversee the hiring & training of new team members and support their development.
• Ensure productivity is maximized through supervision, training, analysis, and feedback of performance data on a periodic basis.
• Use existing AI productivity or analysis applications to fasttrack controllership reviews with improved data backing.