Accounts Receivable Automation & AI Engineer

Insight Global; Atlanta (GA); Hybrid; USD 52,000 - 78,000; Full time

Job summary

Insight Global is seeking an Accounts Receivable Specialist – Automation & Process Improvement. The role blends finance and operations to transform AR workflows with AI tools and the Microsoft Power Platform, improving cash flow and operational scalability.

You will automate cash application, billing, and collections processes, build dashboards, and develop data-driven operating models while collaborating with IT and Revenue Ops to optimize integrations across systems.

Qualifications

• 2+ years of experience in Accounts Receivable, Cash Application, Billing, or Collections.
• Experience with ERP systems (e.g., Great Plains, SAP, Oracle, HighRadius).
• Experience with Microsoft Power Platform tools (Power Automate, Power BI, Power Apps).

Responsibilities

• Process and reconcile high-volume customer payments with focus on accuracy.
• Design Power Automate workflows to streamline posting and exception handling.
• Automate remittance ingestion and improve auto-match rates.
• Automate billing workflows and support invoice generation.
• Develop automated collections outreach and track effectiveness.
• Build dashboards and standardize SOPs for AR processes.
• Analyze AR data trends and create reporting outputs in Power BI and Excel.

Skills

Accounts Receivable

Analytical & problem-solving

Cross-functional collaboration

Advanced Excel

Tools

Microsoft Power Platform

Power BI

Excel

ERP systems (Great Plains, SAP, Oracle, HighRadius)

Job description

Insight Global is seeking an Accounts Receivable Specialist – Automation & Process Improvement. The role blends finance and operations to transform AR workflows with AI tools and the Microsoft Power Platform, improving cash flow and operational scalability.

You will automate cash application, billing, and collections processes, build dashboards, and develop data-driven operating models while collaborating with IT and Revenue Ops to optimize integrations across systems.