Lead Data Governance Analyst

What you’ll Do:

• Data Governance Strategy: Work with data professionals to develop and implement a data governance strategy aligned with the organization’s goals. Define governance policies, procedures, and standards that ensure the accuracy, completeness, and reliability of data.
• Data Project Management: Act as a senior coordinator who can translate governance objectives into actionable project steps, support the DPPG team in driving initiatives forward, propose improvements, and help identify and track remediation or improvement efforts across the data landscape.
• Data Quality and Management:  Establish and improve processes to ensure the quality and integrity of data. Collaborate with data stewards to ensure proper classification, storage, and stewardship of key datasets. Assist in initiating and tracking data quality or remediation projects where weaknesses are identified.
• Metadata Tracking and Lineage: Track and maintain metadata, source lineage, and data flow mappings to support regulatory and third-party compliance, AI enablement, and internal data transparency. Proactively identify gaps or inconsistencies in metadata and work with technical teams to address them.
• Data Architecture: Support data architects in maintaining a secure and accessible data architecture. Ensure that data integration and storage systems align with governance goals and enable effective data usage. Provide structured input and coordination for technical governance improvements.
• Data Privacy and Compliance: Work closely with the Privacy Team to support compliance with PDPA and other applicable laws. Help implement practices that ensure ethical, lawful, and responsible data handling across the organization.
• AI Enablement and Support: Collaborate with internal AI teams to support responsible data use and model readiness. Assist in data preparation, documentation, and access controls. Align governance practices with AI development needs, including metadata tagging and privacy safeguards, and help manage small-to-medium technical projects supporting AI enablement.

What you’ll Need: 

• Bachelor's degree in Computer Science, Information Systems, or a related field required
• Minimum of 3–5 years of relevant experience in data governance, data management, or a related field such as Business Intelligence, Data Analytics, or Data Operations
• Passion for data and a strong willingness to learn and grow in the field of data governance
• Strong analytical and problem-solving skills, with the ability to proactively identify gaps and help drive solutions
• Excellent communication skills with the ability to articulate the value of data governance to non-technical stakeholders
• Proven ability to work collaboratively across a complex organization and coordinate multi-team initiatives
• Experience supporting or coordinating with a team of data professionals
• Ability to work in a fast-paced and changing environment
• Proficiency in communication both English and Thai

It’d be Great if you have:

• Familiarity with data governance programs, frameworks, or tools (e.g., data catalogs, metadata management, data quality platforms)
• Exposure to data management practices such as data classification, lineage tracking, or access controls
• Basic understanding of relevant regulatory standards (e.g., PDPA) or a willingness to learn about data compliance frameworks
• Knowledge of data lifecycle concepts and a curiosity about how organizations use and protect data
• Awareness of how data governance supports AI development and an interest in building readiness for AI-era data use
• Some hands-on technical familiarity (SQL reading, data platforms, dashboards, or data modeling concepts) and willingness to manage technical governance projects