Job Description - Data & AI Governance Manager x 2
Data & AI Governance Manager
The Data & AI Governance Manager joins the organisation to support the development and implementation of data governance standards specific to the bank’s Data and AI management. This role contributes to strengthening the bank’s controls and compliance, ensuring data asset management aligns with business objectives and regulatory requirements.
About the Organisation Our client operates within the financial services sector, focusing on leveraging data and artificial intelligence to improve customer experience and operational efficiency.
Role Overview The Data & AI Governance Manager works within a team supporting Data and AI governance frameworks, policies, and controls. The role involves collaborating with various departments to develop policy materials, facilitate governance meetings, and coach team members on best practices. Success is measured by adherence to regulatory standards, effective data risk management, and the establishment of strong data control mechanisms.
Key Skills & Experience
Define and track Data Quality rules
Manage end-to-end Data Quality Incident & Risk Management
Extensive knowledge of Data Governance, Data Management, and Data Quality in financial sector
In-depth understanding of banking business and operations models
Knowledge of Data Lake, Data Warehouse, Data Marts, and Master Data Management
Familiarity with Data Privacy and Data Protection best practices
Understanding of AI/Generative AI governance or AI risk management is advantageous
Good communication, facilitation, and negotiation skills
Proactive problem-solving approach
Proficient in English and Chinese
Nice to Have [Limited data provided — review with hiring manager before publishing]
Key Responsibilities
Assist Senior Manager to establish governance standards for Data and AI management
Support Data governance best practices, regulations, and compliance efforts
Assist in defining data and AI strategy to ensure compliance with governance frameworks
Collaborate on policy and guideline development, and prepare governance materials for committees
Mentor and develop team members in governance practices
Formulate and review enterprise Data Governance policies and standards
Manage Data Management tools, Data Cataloging, and Data Quality tools evaluation and maintenance
Manage the Enterprise Business Glossary, Data Dictionaries, and Metadata Repositories
Oversee Data Stewardship and Ownership models for Critical Data Elements
Establish Data Lineage to support regulatory reporting and impact analysis
Build and track financial plans related to governance projects
Control project spending and ensure delivery within budget
Provide financial analysis and reporting on governance initiatives
Develop and implement data quality and data protection standards
Lead enterprise data governance implementation roadmaps
Collaborate with external and internal stakeholders to meet business requirements
Ensure compliance with all applicable regulations and internal standards
Monitor risks in daily operations and adhere to risk control measures
Requirements
University graduate in Information Technology, Data Science, or related discipline
Minimum 5 years’ experience in Data Governance, Data Privacy, or Risk Management within financial services or Fintech
Hands-on experience with Data Governance, Data Management, and Data Quality in banking
Ability to define and manage Data Quality rules and incidents
In-depth knowledge of banking operations and regulatory environment
Knowledge of Data Lake, Data Warehouse, Data Marts, and Master Data Management
Understanding of Data Privacy and Data Protection practices
Knowledge of AI/Generative AI governance or AI risk management is an advantage
Good communication, facilitation, and negotiation skills
Proficient in English and Chinese
If you have the relevant skills and experience, please apply with an updated CV.
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