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FinOps Manager - AR

Amazon

Amazon

Operations
Hyderabad, Telangana, India
Posted on Jan 23, 2026

Description

GAR (Global Accts Rec) is looking for a proactive, customer and people centric Finance Manager to manage the cash application team. Role involves use of controls, both systematic and manual, keen attention to detail and targeted statistical monitoring to ensure team activities are efficient, timely, accurate and in compliance with financial policies. This person is result-oriented, multitasker with good communication skills. Foster team unity as you build relationships while working closely with your team and fellow managers to continually reach department goals.

Key job responsibilities
Be an expert in the collection processes
Creation and implementation of strategies to increase the number of successful collections on past due invoices and increase the penetration of accounts
Contribute to improvements in collection projects by identifying any issues, proposing enhancements in tools and working on continuous improvement of collection protocol and process.
Communicate internally or externally to identify issues and propose solutions for long term sustainability of processes
Manage direct reports and internal/ external stakeholders
Assist in resolving escalated discrepancies to ensure timely and accurate resolution.
Working with the functional leaders and other internal groups to build scalable processes
Collaborating with the Global Finance Operations team and internal business partners.
Lead and Participate in operational excellence activities
Analyze processes, recommend improvements and manage related quality/internal controls indicator.

Management Responsibilities
Managing annual performance targets, creating and monitoring appropriate performance metrics
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