Fitter

Recruit Squad Limited; Hong Kong Island; On-site; HKD 420,000 - 660,000; Full time

Job summary

Recruit Squad Limited is seeking a core Data Governance specialist to drive organisation-wide data governance initiatives and support unstructured data management.

You will design and refine the Data Governance Framework, standards, and controls, collaborate with IT and business teams, and help ensure data privacy, security, and AI readiness.

The role requires 3+ years in data governance, strong technical skills in SQL and Python, and excellent communication in English and Cantonese/Mandarin.

Qualifications

• 3+ years in data governance or data management.
• Experience with metadata management, tagging, privacy and security.
• Hands-on with governance tools (catalog, lineage, quality).

Responsibilities

• Support the organisation-wide Data Governance Framework implementation and refinement.
• Assist design and optimisation of governance tools, workflows, and controls.
• Monitor governance effectiveness and drive continuous improvements.
• Collaborate with IT and business teams across international finance contexts.

Skills

SQL

Python

Scripting

REST APIs

AI readiness

Stakeholder mgmt

Communication

Team collaboration

Education

Bachelor's degree

Tools

Data catalogue

Data lineage

Metadata tools

API integration

Job description

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

• 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