Oracle Fusion Cloud Finance Specialist: Elevate ERP

Infosys Limited; Indianapolis (IN); On-site; USD 118,000 - 174,000; Full time

Benefits offered by this job

Disability insurance

Health & Dependent Care Reimbursement

Insurance (Accident, Critical Illness,

Hospital Indemnity, Legal

401(k) plan

Job summary

Infosys is seeking a Package Consultant 3 in the Oracle Cloud Practice to lead complex ERP customizations, integrations, and data migrations within Oracle Fusion Cloud Finance. The role emphasizes delivering end-to-end Order to Cash, Procure to Pay, and Master Data Management processes, with a strong focus on performance, security, and regulatory compliance.

The ideal candidate has extensive experience in Oracle Cloud Financials and related modules, along with hands-on implementation of multiple

Qualifications

• Experience in Oracle Cloud Financials (GL, AP & AR).
• Experience in Oracle Cloud, Order Management Cloud.
• Experience in Oracle Cloud unified method.
• Experience in Oracle Fusion Cloud Cost Accounting and Receipt Accounting, including functional setup and configuration activities.
• Experience with cost organization period close processes, month-end close activities, and related reconciliation procedures.
• Experience working with Intelligent Document Recognition (IDR) for Accounts Payable invoice processing.
• Experience in implementation with Oracle Fusion Finance Cloud modules involving General Ledger, Accounts Receivable, Accounts Payables and Fixed Assets.
• Experience in at least 2 full life cycle implementations experience, with hands-on configuration, implementation, and support of Oracle Fusion Cloud Finance.
• Experience in Oracle Fusion Account Payables.
• Experience in gathering requirements, designing solutions for very high transaction volumes and good experience of performance testing of solutions.
• Experience in designing and delivering complex custom solutions in highly integrated applications landscape.
• Experience in end-to-end processes Order to Cash, Procure Pay and Master Data Management.
• Experience in handling integration with external partners/ applications like – E-Commerce Portals, Part Catalogs, trading partners - Suppliers & Customers, EDI.
• Experience in driving requirements workshops, CRPs and key design discussion sessions with client.

Responsibilities

• Analyze complex business processes to identify optimization opportunities and draft detailed requirement specifications that align with enterprise architecture standards
• Define and develop solution architecture, steering customization and integration efforts based on thorough business analysis
• Design and implement advanced customizations basis ERP platform's capabilities and limitations and develop critical software applications in collaboration with the development team
• Develop and implement complex integration workflows to connect the ERP system with external applications, while leading large-scale data migration strategies to ensure data integrity
• Implement advanced performance optimization strategies focused on scalability, reliability, and user experience, while leading compliance initiatives throughs audits, to uphold security protocols and industry standards
• Develop detailed documentation for complex ERP customizations and lead training workshops tailored to various user groups, to ensure effective knowledge transfer

Skills

Oracle Cloud Financials

Oracle Cloud Order Management

Oracle Fusion Cloud

IDR processing

Data migration

Performance optimization

Compliance & security

Order to Cash

Education

Bachelor’s degree or equivalent

Tools

BI Publisher

Job description

Infosys is seeking a Package Consultant 3 in the Oracle Cloud Practice to lead complex ERP customizations, integrations, and data migrations within Oracle Fusion Cloud Finance. The role emphasizes delivering end-to-end Order to Cash, Procure to Pay, and Master Data Management processes, with a strong focus on performance, security, and regulatory compliance.

The ideal candidate has extensive experience in Oracle Cloud Financials and related modules, along with hands-on implementation of multiple