Fitter

Key Responsibilities:

• 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.

Qualifications:

• We expect the ideal candidate to have 3+ years of experience in data management and data governance, 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 operationalise Data Governance Framework.

• 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

• 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

• Experience in working in an international team, with solid grounding in financial service is a plus

• Excellent communication skills, with proficiency in written and spoken English, Cantonese and/or Mandarin

• Working location in Hong Kong