Data Governance Specialist
4 weeks ago
A Career with Hang Seng Bank
Hang Seng is committed to service excellence. Our people are our most important asset and play a vital role in our efforts to continually enhance our performance for customers and provide best-in-class products and services.
Data and Analytics Office
In Hang Seng Data and Analytics Office, we enable transformation into a data-driven Bank. We execute Data Governance, Data Management, Data Analytics, Data Partnership, and Data Literacy to generate business values from data.
Principal Responsibilities:
- Support the department to drive data strategy to ensure data are managed and controlled.
- Ensure data becomes a key asset to the bank.
- Drive the bank to move to a data-driven organization.
- Satisfy regulatory demands on data.
Job Responsibilities:
- Implement data governance, data privacy, and information lifecycle management initiatives focusing on policy implementation, regulatory change, and risk minimization.
- Work closely with 2LoD and Business/Function teams to ensure data governance/control procedures are developed and maintained that translate from group policy and standards into operational procedures.
- Provide advice and guidance to Business/Function teams on control implementation, execution, monitoring, and reporting to ensure compliance with regulatory requirements and the Bank's internal policy/procedure.
- Partner closely with Data and Analytics Office counterparts at the HSBC Group level, sharing best practices to enhance the effectiveness of driving our data strategy initiatives.
- Responsible for driving and leading data risk management meetings as part of data governance.
- Align with Group and Regional DAO data governance teams to ensure well-understanding in data risk landscape and governance approach.
Requirements:
- University degree in related disciplines, including Data, Business Administration, Risk, Information System.
- 3-5 years' experience in financial services industry with background in risks and controls management, data management preferred; or equivalent subject matter expertise in a relevant business-related function/operation.
- Good understanding of data management, information lifecycle management, data privacy principles, and operational risk management framework.
- Attention to detail combined with a strong delivery focus and the ability to meet aggressive timeframes with quality results.
- Awareness on data governance such as Generative Artificial Intelligence, Data Privacy/Information Lifecycle Management trends and best practices within the banking industry.
- Strong interpersonal skills, experience of working with different levels of stakeholders.
- Great sense of ownership and servicing mindset to ensure efficient and effective delivery in a changing work environment.
- Ability to embrace change and overcome challenges and strong desire to learn and able to work in Agile environment.
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