Data Scientist (Data Governance)

We are looking for a Data Scientist with a strong focus on Data Governance, Data Quality, and Data Management to strengthen our growing Data Team.

The ideal candidate will focus on ensuring that organizational data is accurate, reliable, consistent, well-documented, and properly managed across the data ecosystem. This role will work closely with Data Engineers, Machine Learning Engineers, Software Developers, Product Leads, and business stakeholders to establish data standards, improve data quality, and maximize the value of enterprise data assets.

Key Responsibilities:

• Develop, implement, and maintain data governance frameworks, policies, standards, and procedures.
• Establish data quality rules, metrics, and validation processes to ensure data accuracy, consistency, completeness, and reliability.
• Conduct data profiling, assessment, and analysis to identify data gaps, inconsistencies, and opportunities for improvement.
• Support data cataloging, metadata management, data lineage, and documentation of organizational data assets.
• Define and promote data ownership, stewardship, and accountability across different business units.
• Collaborate with Data Engineers and other technical teams to embed data quality and governance controls into data pipelines and systems.
• Work with business stakeholders to understand data requirements and translate them into governance and data management standards.
• Monitor data quality performance and recommend continuous improvements to data processes and practices.
• Support data privacy, security, compliance, and responsible data management initiatives.
• Help ensure that enterprise data assets are properly organized, accessible, discoverable, and ready for business and analytical use.

Qualifications:

• Bachelor's degree in Data Science, Computer Science, Information Technology, Statistics, Information Systems, or a related field.
• Experience in Data Governance, Data Quality Management, Data Management, or related data-focused functions.
• Strong understanding of data governance principles, data quality frameworks, metadata management, and data lifecycle management.
• Familiarity with data cataloging, data lineage, master data management (MDM), and data stewardship concepts.
• Knowledge of SQL and experience analyzing, profiling, and validating datasets.
• Familiarity with data governance or data quality tools and platforms is an advantage.
• Strong analytical, documentation, problem-solving, and stakeholder management skills.
• Ability to work collaboratively with both technical teams and business stakeholders.

Preferred Qualifications:

• Experience implementing or supporting enterprise data governance initiatives.
• Exposure to data quality tools, data catalogs, metadata repositories, or master data management platforms.
• Understanding of data privacy, security, and regulatory compliance requirements.
• Experience working in a data-driven organization or enterprise data environment.

Benefits:

• Company Christmas gift
• Company events
• Health insurance
• Life insurance
• Opportunities for promotion
• Paid training

Work Location: Hybrid remote in Mandaluyong