Artificial Intelligence Financial Analyst, Billing Functions Manager, AR Manager

Globallt

Macon Township (MI)

On-site

USD 120,000 - 190,000

Full time

14 days+
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Job summary

Globallt in Macon Township, Michigan seeks an Artificial Intelligence Financial Analyst, Billing Functions Manager, and Accounts Receivable Manager to lead billing and AR operations while developing practical AI-enabled tools and process improvements.

This role strengthens billing accuracy, enhances collections performance, supports cash forecasting, and drives data-driven decision-making across Finance, Billing, and Accounts Receivable. Strong analytical and leadership skills are essential.

Qualifications

  • Bachelor’s degree in Accounting, Finance, Business Analytics, Data Analytics, Information Systems, or related field preferred.
  • 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.

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 teammates 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.

Skills

Billing leadership
Accounts Receivable
AI-enabled tools
Financial analysis
ERP software

Education

Bachelor's degree in Accounting, Finance, Business Analytics

Tools

ERP software
Excel advanced
AI dashboards
Automation tools

Job description

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

We areseekinga detail-oriented and forward-thinking Artificial Intelligence Financial Analyst, Billing Functions andARManager to lead billing andaccountsreceivable operations while developing practical AI-enabled tools and process improvements. This role will help strengthen billing accuracy,collectionsperformance, 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.

  • Manageaccountsreceivable 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 toidentifybilling errors,collectionrisks, payment trends, process gaps, and opportunities for efficiency improvement.

  • Supervise, train, and support billing and accountsreceivableteammembers to promote accuracy, accountability, andtimelycompletion 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-endclose, 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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