Oracle Finance Business Analyst - APIA Project

Oracle Finance Business Analyst APIA Project1

Key Responsibilities

• Work with business stakeholders (Finance, AP, Tax, Audit teams) to gather and document requirements for AP Invoice Automation.
• Analyze as-is invoice processing workflows and define to-be automated processes using APIA, OCR, and RPA tools.
• Translate business requirements into functional specifications, user stories, and test cases.
• Support the configuration of AP, EB-Tax, SLA, Payments, and Expenses modules for APIA.
• Collaborate with SOA/OIC developers to design and validate integrations with OCR/IDP tools (Kofax, ABBYY, UiPath, etc.) and third-party systems.
• Validate invoice ingestion, 2-way/3-way matching, approval workflows, exception handling, and duplicate prevention.
• Facilitate UAT (User Acceptance Testing), prepare training materials, and support end-user training.
• Ensure compliance with finance, tax, SOX, and audit requirements in automated AP processes.
• Support cutover, go-live, and post-production stabilization activities.
• Act as a functional SME for invoice automation best practices and provide ongoing support.

• 7-10 years of experience as a Business Analyst/Functional Consultant in Oracle EBS R12 and/or Fusion ERP (Financials).
• Strong functional expertise in Accounts Payable (AP), EB-Tax, SLA, Payments, Expenses.
• Hands-on experience with invoice processing flows (manual entry, PO/non-PO invoices, matching, approvals, holds, and payments).
• Prior experience in Accounts Payable Invoice Automation (APIA) projects, including integrations with OCR/RPA/IDP tools.
• Strong knowledge of financial accounting and compliance (SOX, audit, tax reporting, FX, intercompany).
• Ability to prepare BRD, FRD, MD50, Test Scripts, and Training materials.
• Excellent communication and stakeholder management skills.

• Experience with Oracle Integration Cloud (OIC) or SOA Suite for invoice automation integrations.
• Knowledge of RPA platforms (UiPath, Automation Anywhere, Power Automate).
• Familiarity with Machine Learning-based invoice capture tools.
• Background in intercompany accounting (AGIS). (good to have)