Hybrid Master Data Governance Analyst – Supply Chain

TE Connectivity Corporation; Muntinlupa; Hybrid; PHP 700,000 - 1,100,000; Full time

Job summary

TE Connectivity Corporation is seeking a Master Data Governance professional in the Philippines, based in Muntinlupa with hybrid work options. The role focuses on developing and implementing a comprehensive governance framework for supply chain master data, ensuring accuracy, consistency, and policy adherence.

The incumbent will drive data quality initiatives, collaborate across IT and business units, and lead data lifecycle activities, cleansing, enrichment, and system enhancements to support

Qualifications

• Bachelor's degree in Supply Chain Management, Business Administration, Information Systems, or related field.
• 1–2 years in master data management, data governance, or related field; preferably in supply chain planning.
• Proficient with master data management tools and systems (e.g., SAP, Tableau, VBA, SQL).
• Solid understanding of data governance, data quality, and data lifecycle management.

Responsibilities

• Establish and maintain data quality metrics and KPIs, monitor data quality issues and improvements (also in VBA and SQL).
• Collaborate with stakeholders to identify master data requirements and define governance policies and procedures.
• Lead identification, collection, and validation of master data from diverse sources.
• Define and implement data cleansing, enrichment, and standardization processes.

Skills

Data governance

Data quality

Data lifecycle

Communication

Education

Bachelor's degree in SCM / Business Admin / IS

Masters degree preferred

Tools

SAP

Tableau

VBA

SQL

Job description

TE Connectivity Corporation is seeking a Master Data Governance professional in the Philippines, based in Muntinlupa with hybrid work options. The role focuses on developing and implementing a comprehensive governance framework for supply chain master data, ensuring accuracy, consistency, and policy adherence.

The incumbent will drive data quality initiatives, collaborate across IT and business units, and lead data lifecycle activities, cleansing, enrichment, and system enhancements to support