Data Governance Specialist

A leading financial regulator in Hong Kong is seeking a Data Governance Specialist to strengthen its data management and oversight capabilities. The role focuses on developing governance frameworks, ensuring data quality, and supporting regulatory compliance across critical systems. The organization offers a dynamic environment with strong exposure to financial supervision, risk management, and digital transformation initiatives, making it an attractive opportunity for professionals passionate about data governance and the financial services sector globally.

• Ideally have 1 year+ experience in data management and data governance (with technical background), preferably within Technology, Banking or Financial Services.
• Solid experience in data governance and data management disciplines, including metadata management, data classification and tagging, data privacy and data protection, data security and access controls, data quality management, etc.
• Hands-on experience with data governance tools and platforms (e.g., data catalogue, data lineage, data quality tools), and the ability to leverage them to operationalize Data Governance Framework.
• Understanding of data governance foundation required for AI readiness, such as Text-to-Insights, AI knowledge bases, semantic search, and model training.
• Experience or exposure to unstructured data management for AI readiness is a plus, e.g., auto-classification, ontology development and data tagging etc.
• Experience in implementing data protection and security controls for personal data and sensitive information is a plus.
• Strong stakeholder management and communication skills, with the ability to cooperate with various technical teams to implement the Data Governance Framework as well as ability to influence and drive business stakeholders on governance adoption.
• Solid grounding in technology concepts, with good understanding of financial industry. Prior experience in Technology, Banking or Financial Services is preferred.
• Analytical mindset with structured problem-solving capabilities.
• Hands-on technical capability, including:
  • Proficiency in SQL for data extraction, transformation, profiling, and analysis
  • Working knowledge of Python for data processing, automation, text mining, and basic machine learning
  • Experience in developing scripts or automation workflows to support data tagging, classification, metadata enrichment, or governance controls
  • Familiarity with API integration and RESTful API calls for system connectivity and tool integration

• Act as a core support member of the Data Governance team to drive organisation-wide data governance initiatives.
• Support the implementation and continuous refinement of the organisation-wide Data Governance Framework, standards, and controls, particularly for unstructured data management.
• Assist in the design and optimisation of tools and technology for implementing data governance, including metadata management, data access workflow, auto-classification and tagging, and data quality management.
• Support the adoption of unstructured data governance practices, including establishing ontology and managing taxonomy, and driving organisation-wide data tagging to enhance discoverability and AI readiness.
• Support data privacy, data protection, and data security compliance initiatives in alignment with regulatory and internal requirements.
• Monitor governance effectiveness and recommend continuous improvements.