Joseph Lain Cce Email Address

Vice President Revenue Management

non-union, regional less-than-truckload carrier based in the southwestern United States

Over 20 years of progressive management, including director and vice president roles, in secured lending, oil and gas, distribution, manufacturing, and transportation industries with a focus in B2B order to cash functions. Experienced professional demonstrating proven leadership in recruiting/managing/developing employees, customer & cross-functional relationships while limiting risk of loss to the organization. Adept at change management and continuous improvement strategies in order to cash and shared services functions including billing, corrections, claims, customer service, cash/treasury, credit, and collections. Certified Credit Executive accreditation through NACM. Yellow belt Six Sigma. Specialties: Domestic and Global Credit / Portfolio Risk Management; Credit and Collection Optimization; Customer Service, Claims, Billing and Corrections, Organizational Management; Policy and Procedure Development, Financial Statement Analysis; Bankruptcy Law; US Bond & Lien Laws and requirements; Bad debt work-out and litigation; Contract negotiation, Letters of Credit. Facilitated improvements in customer service portals for filing claims and for general inquiries. Well versed in ERP implementation (Oracle, SAP, Netsuite) and SAAS products such as HighRadius, DadeSystems, and GetPaid. Effectively control budgets/costs through process improvements, right sizing personnel and technology and RPA improvements. Measurable results: Initiated First Invoice Accuracy project to qualify and quantify billing improvement opportunities, deployed cash application technology to improve auto matching to 94% and improve departmental costs by 80%, deployed remote capture/deposit functionality eliminating discreet bank deposits, spearheaded an automated credit underwriting platform using scoring models which lead to reduction in credit department head count by 30%, developed and deployed cash application technology to improve automated matching rates and exception queues with AI algorithms to expedite research and resolution – head count reduced by ~50%