Data & AI Governance Manager / Assistant Manager (Financial)

Salary: $40,000 – $60,000 per month

Manager / Assistant Manager, Data & AI Governance

Position Overview

The Manager / Assistant Manager, Data & AI Governance will support the execution of the Bank Data and AI Governance Frameworks. Positioned between Business, IT, Risk, and Compliance, this role ensures data assets are well-governed, traceable, and compliant with regulatory standards.

The position focuses on Critical Data Element (CDE) management, end-to-end lineage, data quality monitoring, cataloging, and supporting data ownership structures. Additionally, the candidate will assist in maintaining compliance with HKMA Supervisory Policy Manual (SPM) guidelines, BCBS 239 standards, and the Personal Data (Privacy) Ordinance (PDPO).

Key Responsibilities

• Data Architecture & Quality: Identify Critical Data Elements (CDEs), map end-to-end data lineage, and maintain business metadata within the Enterprise Data Catalog. Implement data quality profiling rules, monitor dashboards, and drive remediation with stakeholders.

• Framework & Tooling Support: Assist in maintaining Data & AI Governance policies, standards, and guidelines. Support the rollout of data management tools, maintain the Data Ownership/Stewardship model, and assist with governance committee coordination.

• Regulatory Compliance & Risk Alignment: Translate 2LOD risk/compliance requirements into actionable 1LOD operational controls. Support compliance efforts for BCBS 239 risk data aggregation, HKMA SPM standards, and PDPO privacy controls.

• Impact & Audit Support: Assist in conducting data impact assessments for system changes and AI initiatives, while supporting regulatory inquiries and audit reviews.

Key Requirements

• Education: Bachelor degree in Information Technology, Computer Science, Risk Management, Finance, or a related discipline.

• Experience: 3 to 8 years of working experience in Data Governance, Data Quality, or Data Risk within banking or financial services.

• Regulatory Knowledge: Solid understanding of local banking regulations, specifically HKMA SPM, BCBS 239, and PDPO requirements.

• Technical Capabilities:

  • Familiarity with Data Warehouses, Data Lakes, and enterprise data flows.

  • Hands-on experience with Data Quality, Lineage, or Cataloging tools (e.g., Collibra, Informatica, IDQ, or cloud platforms like GCP).

  • Proficiency in data analysis tools (e.g., SQL, Power BI, Tableau, SAS, or Python).

• Communication: Strong communication and stakeholder management skills; fluent in English and Chinese (Cantonese and/or Mandarin).