Global LT

Artificial Intelligence Financial Analyst, Billing Functions Manager, AR Manager

Global LT Troy, Michigan, United States

Education Management · 51-200 employees

19 h ago
financial-analyst Senior (5-10 yrs) Full-time United States
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About the role

The role involves managing billing and accounts receivable operations while developing AI-enabled tools to improve financial accuracy and efficiency. You will also supervise team members and partner with cross-functional departments to streamline workflows and support financial reporting.

What they look for

Billing Accounts Receivable Financial Analysis Artificial Intelligence Process Improvement Collections Cash Forecasting Data Analytics Automation Reconciliation ERP Systems Reporting Team Leadership Predictive Analytics Dispute Resolution Accounting

Requirements

Candidates should have at least 5 years of experience in finance, accounting, or billing, with a preference for supervisory experience. A bachelor's degree in a relevant field such as Accounting, Finance, or Data Analytics is preferred.

Full description

Artificial Intelligence Financial Analyst, Billing Functions Manager, and Accounts Receivable Manager 

Position Summary 

We are seeking a detail-oriented and forward-thinking Artificial Intelligence Financial Analyst, Billing Functions and AR Manager to lead billing and accounts receivable operations while developing practical AI-enabled tools and process improvements. This role will help strengthen billing accuracy, collections performance, cash forecasting, financial reporting, automation, and data-driven decision-making across Finance, Billing, and Accounts Receivable. 

Key Responsibilities 

  • Lead and manage billing functions, including invoice generation, billing review, credit memos, customer account setup, billing schedules, corrections, and discrepancy resolution. 
  • Manage accounts receivable activities, including cash application, collections, account reconciliations, unapplied cash, dispute resolution, and AR aging review. 
  • Develop, test, and improve AI-enabled finance tools, dashboards, reports, automation workflows, and predictive analytics to support billing, AR, forecasting, and management reporting. 
  • Use financial and operational data to identify billing errors, collection risks, payment trends, process gaps, and opportunities for efficiency improvement. 
  • Supervise, train, and support billing and accounts receivable team members to promote accuracy, accountability, and timely completion of work. 
  • Partner with Finance, Accounting, IT, Operations, and customer-facing teams to define business needs, improve data quality, streamline workflows, and implement responsible AI-supported solutions. 
  • Evaluate AI-generated insights for accuracy, completeness, relevance, and business appropriateness before using them in financial analysis or operational decisions. 
  • Support month-end close, revenue-related reconciliations, cash forecasting, working capital analysis, audit requests, internal controls, and process documentation. 

Qualifications 

  • Bachelor’s degree in Accounting, Finance, Business Analytics, Data Analytics, Information Systems, or a related field preferred; equivalent education and experience may be considered. 
  • 5+ years of experience in accounting, finance, billing, collections, accounts receivable, financial analysis, or process improvement. 
  • Minimum of 2 years of supervisory, team lead, or billing functions management experience preferred. 
  • Experience with ERP/accounting systems, billing systems, reporting dashboards, advanced Excel, automation tools, and AI-enabled business applications preferred. 
  • Strong analytical, organizational, communication, problem-solving, and process improvement skills. 

Ideal Candidate 

The ideal candidate is comfortable combining finance operations leadership with emerging technology. This person is analytical, hands-on, highly organized, and able to turn data and AI-supported insights into practical improvements for billing, accounts receivable, forecasting, reporting, and workflow efficiency. 

Equal Employment Opportunity 

We are an equal opportunity employer and consider all qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other legally protected status.

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