Data Manager

Data and Analytics Office

In Hang Sang 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.

We are currently seeking a high caliber professional to join our department as Data Manager.

Principal responsibilities

The role will be supporting the department to drive data strategy to ensure

• data are managed and controlled
• data becomes a key asset to the bank
• the bank moves to a data driven organization
• regulatory demands on data are satisfied

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 requirement and the Bank’s internal policy/ procedure.
• Partner closely with Data and Analytics Office counterparts at the HSBC Group level, sharing best practices to enhancing effectiveness of driving our data strategy initiatives.
• Responsible for driving and leading data risk management meeting as part of data governance.
• Align with Group and Regional DAO data governance team 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