JOM Monitoring Accounting Lead

About the role

The JOM Monitoring Accounting Lead works in the Finance function, within Accounting, in Bogotá. The role monitors automated processes supporting JOM Chargebacks, including resolving errors and working with business partners so that financial reporting requirements are met. It analyzes automation failures across the end-to-end JOM Chargeback process, assesses their impact on the financial statements and documents incidents during quarter-end close, preparing manual journal entries when needed. The position partners closely with the VCM Automation Team, the GS Intercompany Team and JJT.

Key responsibilities

• Monitor scheduled and event-driven automations, interfaces, exception reporting logs and interface reconciliations.
• Analyze the aging of errors in FAME and SCA automation to anticipate quarter-end impacts.
• Initiate the manual journal entry process for automation failures at quarter ends.
• Work with VCM and JJT to assess automation errors and decide whether they can be resolved before quarter end.
• Take part in continuous-improvement initiatives to reduce manual intervention and strengthen process resilience.

Required profile

• Bachelor's degree in Finance, Accounting, Business or equivalent relevant experience.
• 2-4 years of experience in finance or accounting.
• Strong analytical and structured problem-solving skills, with sound judgment and the ability to assess the financial impact of automation failures.
• Ability to document automation failures clearly and communicate their financial impact verbally and in writing.
• Ability to collaborate across cross-functional teams, manage competing priorities and deliver accurate, timely results under pressure.
• Continuous-improvement mindset focused on strengthening processes.

Preferred qualifications

• Experience monitoring automated processes and interpreting exception reports or system outputs.
• Knowledge of finance or business processes such as order-to-cash, record-to-report, planning or master data.
• Experience in a regulated, audit-focused or control-driven environment.
• Understanding of AI concepts and frameworks, including responsible and ethical AI, and experience using prompts to improve efficiency.