Procure-to-Pay Master Data Specialist III (Finance)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Procure-to-Pay Master Data Specialist III (Finance): Manag end-to-end vendor master data and governance for the Request-to-Pay process with an accent on data accuracy, compliance, and operational efficiency. Focus on maintain ERP platforms, validat supplier records, and optimiz P2P workflows to ensure seamless financial operations.
Location: Onsite in Manila (One Ayala Tower 2), Philippines
Company
A global bank organization operat in approximately 40 countries, focus on innovation and integrity in financial services.
What you will do
- Manage end-to-end vendor master data includ creation, updates, maintenance, and deactivation.
- Perform quality checks and validation of supplier information to ensure data accuracy and compliance.
- Maintain master data records within ERP platforms such as SAP, Oracle, or PeopleSoft.
- Process requests through workflow management tools while ensur strict SLA adherence.
- Partner with Procurement, Finance, and external vendors to resolve data-related inquiries.
- Analyze P2P reports to identify trends, process improvements, and control gaps.
Requirements
- Bachelor's degree in Finance, Account, Business, or a related field.
- Professional experience in Master Data Management, Procure-to-Pay, or Finance Operations.
- Hands-on experience work with ERP systems (SAP, Oracle, or PeopleSoft).
- Strong analytical think and data validation capabilities.
- Excellent attention to detail and ability to manage multiple priorities.
Nice to have
- Experience work within shared services or global operations environments.
- Knowledge of governance, risk, and control frameworks.
- Familiarity with workflow tools like ServiceNow or ARIS.
- Experience support process improvement or migration initiatives.
Culture & Benefits
- Collaborative global environment with exposure to international stakeholders.
- Culture based on the "Orange Code": ownership, help others, and proactive think.
- Opportunities to contribute to large-scale process improvements and data quality standards.
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