Oracle Finance Business Analyst – APIA Project

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.

Required Skills & Experience

• 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)