Finance Master Data Steward (SAP MDG/S4HANA) — Hybrid

Chevron Holdings Inc.; Makati; Hybrid; PHP 600,000 - 900,000; Full time

Benefits offered by this job

Competitive salary

Health care coverage for dependents

Hybrid work model

Career development opportunities

Job summary

Chevron Holdings Inc. in Makati, Philippines, invites applications for a Master Data Steward for Central MDG. The role focuses on maintaining finance master data in SAP MDG and S/4HANA, ensuring data integrity, governance, and compliance with CIM and SOX.

Hybrid work model in a modern office at 6750 Building, Makati City. Successful candidate will collaborate with IT and business partners, train stakeholders, and drive data quality improvements across finance data domains.

Qualifications

• Bachelor's Degree in Accounting is required.
• Strong written and spoken communication skills.
• Analytical, team-oriented with customer focus.
• Proactive, results-driven in a diverse environment.

Responsibilities

• Maintain accuracy and integrity of finance master data in SAP MDG and S/4HANA.
• Define and enforce data governance standards and CIM design.
• Gatekeep master data policies and perform CRUD in SAP MDG/S4HANA.
• Monitor data quality and drive process improvements as needed.
• Create and maintain master data controls and SOX compliance.
• Collaborate with IT and train end users on data management.

Skills

Communication skills

Analytical thinking

Teamwork

Customer engagement

Proactive attitude

Education

Bachelor's Degree in Accounting

Tools

SAP MDG

S/4HANA

SMART by GEP

Maximo

Job description

Chevron Holdings Inc. in Makati, Philippines, invites applications for a Master Data Steward for Central MDG. The role focuses on maintaining finance master data in SAP MDG and S/4HANA, ensuring data integrity, governance, and compliance with CIM and SOX.

Hybrid work model in a modern office at 6750 Building, Makati City. Successful candidate will collaborate with IT and business partners, train stakeholders, and drive data quality improvements across finance data domains.