SAP Cash Application Machine Learning Expert

Job Title: SAP Cash Application Machine Learning Expert

Location: Remote

Job Summary

We are seeking an experienced SAP Cash Application Machine Learning Expert to design, implement, and optimize intelligent cash application solutions within SAP environments. The ideal candidate will combine deep expertise in SAP Accounts Receivable (AR) and Cash Application processes with strong knowledge of machine learning models that automate payment matching, dispute resolution, and deduction management. This role will drive automation, improve straight-through processing (STP) rates, and enhance working capital efficiency.

Key Responsibilities

• Lead the design and implementation of SAP Cash Application solutions, including SAP S/4HANA Finance and SAP FSCM.

• Configure and optimize SAP Cash Application powered by Machine Learning (e.g., SAP Cash Application on SAP BTP).

• Develop, train, and fine-tune machine learning models for automated payment matching and remittance advice processing.

• Improve auto-matching rates, reduce unapplied cash, and minimize manual intervention.

• Analyze historical AR and payment data to enhance prediction accuracy.

• Integrate SAP systems with bank interfaces, lockbox files, EBS (Electronic Bank Statements), and third-party applications.

• Collaborate with finance, IT, and business stakeholders to gather requirements and translate them into technical solutions.

• Monitor ML model performance and implement continuous improvement strategies.

• Provide expertise in exception handling, dispute management, and deduction workflows.

• Ensure compliance with financial controls, data governance, and security standards.

• Support testing cycles (unit testing, UAT) and production deployments.

• Document functional and technical specifications.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Finance, Information Systems, or related field.

• 7+ years of experience in SAP Finance (FI-AR) with strong focus on Cash Application.

• Hands-on experience with SAP S/4HANA Finance and SAP FSCM.

• Proven experience implementing SAP Cash Application with Machine Learning.

• Strong understanding of AR processes, bank reconciliation, lockbox, and payment allocation.

• Experience with SAP BTP (Business Technology Platform).

• Knowledge of machine learning concepts such as supervised learning, classification, clustering, and model evaluation.

• Experience working with APIs, data integration, and automation tools.

• Strong analytical and problem-solving skills.

Preferred Skills

• Experience with SAP Fiori apps related to AR and Cash Application.

• Knowledge of data tools such as Python, R, or SAP Data Intelligence.

• Experience with AI/ML lifecycle management.

• Familiarity with cloud platforms (Azure, AWS, Google Cloud Platform).

• SAP certification in S/4HANA Finance or related modules.

• Experience in high-volume transaction environments.