Data Governance Specialist
Summary
A hands-on Data Governance Specialist role (via recruiter Venturenix) at a Hong Kong enterprise client, focused on rolling out data governance frameworks, managing metadata/catalogs, data classification, and embedding privacy controls. Requires 3+ years in data governance, SQL and Python skills, and experience with catalog platforms like Microsoft Purview or Collibra.
Our client is a leading Hong Kong enterprise advancing its digital transformation and data capabilities. To support their expanding digital ecosystem, they are seeking a hands-on Data Governance Specialist to strengthen organization-wide data management, metadata frameworks, and data protection practices.
Key Responsibilities
Framework Implementation & Operationalization: Support the adoption, continuous refinement, and rollout of the enterprise Data Governance Framework, internal data policies, and standard operating procedures (SOPs).
Metadata & Catalog Management: Assist in designing, configuring, and optimizing data governance technology, including enterprise data catalogs, data lineage, metadata repositories, and data quality monitoring tools.
Data Classification & Taxonomy: Drive structured and unstructured data classification, ontology and taxonomy management, and automated data tagging to enhance data discoverability and support downstream analytics and AI readiness.
Data Privacy & Security Controls: Work alongside compliance and IT security teams to embed data protection controls, access management, and personal data privacy safeguards in line with regulatory requirements.
Governance Adoption & Training: Collaborate with cross-functional technical teams and business stakeholders to drive governance adoption, deliver training, and monitor governance effectiveness.
Requirements
Experience: 3+ years of practical experience in Data Governance, Data Management, or Technical Data Stewardship.
Industry Background: Prior experience in Banking, Financial Services, or Insurance (BFSI) is highly preferred.
Core Competencies: Solid understanding of data governance disciplines, including metadata management, data lineage, data classification, data quality, and data privacy controls.
Domain Knowledge: General familiarity with data prerequisites for modern analytics and light AI adoption (e.g., automated tagging, semantic search, or text parsing) is a plus.
Governance Tooling: Hands-on experience with enterprise data governance and catalog platforms (e.g., Microsoft Purview, Collibra, Informatica EDC, Alation).
Technical Skills
SQL: Proficient in SQL for data extraction, profiling, transformation, and analysis.
Python: Practical working knowledge of Python for data processing, script automation, or text parsing.
APIs & Scripting: Familiarity with RESTful APIs and automation workflows for metadata enrichment and tool connectivity.
Soft Skills: Excellent analytical and problem-solving skills with strong stakeholder management capabilities to bridge technical teams and business units.