About this role
Principal Responsibilities
- Develop, implement, and maintain comprehensive data governance frameworks, policies, standards, and procedures aligned with group guideline and regulatory requirements.
- Design, implement, and evaluate enterprise data governance controls and workflows within data governance tooling to manage data-related risks and ensure sustainable compliance.
- Build and maintain the enterprise data dictionary, data lineage mapping, and metadata management repositories.
- Lead or assist AI governance, including control framework design, lifecycle implementation to meet both group and local regulatory requirements.
- Collaborate with cross-functional teams, including Compliance, RMG, Tech and BUSU COO, to ensure data governance aligns with business needs and regulatory obligations.
- Champion bank wide training within the data governance domain to uplift awareness, providing guidance and training to employees.
Education and Relevant Experience
- Bachelor's degree in Law, Computer Science, or a related field.
- Have work experience in banking industry.
- 10-15 years of experience in data and AI management, with a significant focus on governance and control within the banking or financial services sector.
- Strong understanding of data and AI management area relevant to the banking industry, knowledgeable on data owner, metadata and AI related concepts.
- Proven experience in developing, implementing, and managing data classification, labeling, and protection frameworks, potentially utilizing tools.
- Demonstrated ability to collaborate effectively with diverse stakeholders, including business units, IT, audit, and compliance teams.
- Excellent analytical, problem-solving, and communication skills (written and verbal).
- Fluent English speaking and writing skills.
- Data analytics and AI/GenAI knowledge is perferred.
Location:
PRC - Shanghai
Job:
Data Management
Schedule:
Regular
Employee Status:
Full time