Senior Data Governance Analyst – Global Deployments (MedTech)

Johnson & Johnson Co.; Taguig; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

Johnson & Johnson MedTech is seeking a Senior Analyst, Global Data Governance in Taguig, Philippines, to support Run State and Project Deployments. The role focuses on data loads, validation, and end-to-end ownership with strong stakeholder collaboration.

The candidate should have 3+ years in Finance, experience with Master Data, and proficiency in SAP/ERP and Excel, enabling deep data cleansing and analysis across affiliate/master data domains.

Qualifications

• Bachelor's Degree in Accounting or Finance required.
• 3+ years in Finance.
• Experience in Finance Master Data and data loads preferred.
• Familiarity with Affiliate Customer/Vendor Master Data required.
• Experience in SAP/ERP and Supply Chain environments preferred.
• Strong Excel and data analysis skills.
• Excellent stakeholder engagement and communication.
• Knowledge of test management tools (JIRA) is a plus.

Responsibilities

• Oversee multiple data projects in a fast-paced, high-stress environment.
• Collaborate with stakeholders to ensure timely communications and updates.
• Own end-to-end data loads and validation with detail.
• Maintain alignment with global PMO standards and approaches.
• Drive data standardization with global teams and processes.
• Identify issues, manage risks, and escalate as needed.
• Translate strategy into operational goals and objectives.

Skills

Detail-Oriented

Stakeholder Engagement

Excel Proficiency

Test Management

Communication

Data Analysis

Process Improvement

Finance Principles

SAP/ERP

Supply Chain

Education

Bachelor's Degree in Accounting/Finance

Tools

JIRA

SAP/ERP

Job description

Johnson & Johnson MedTech is seeking a Senior Analyst, Global Data Governance in Taguig, Philippines, to support Run State and Project Deployments. The role focuses on data loads, validation, and end-to-end ownership with strong stakeholder collaboration.

The candidate should have 3+ years in Finance, experience with Master Data, and proficiency in SAP/ERP and Excel, enabling deep data cleansing and analysis across affiliate/master data domains.