Manager, Data Management/ Data Governance

About Dah Sing Group The Dah Sing Group is a leading financial services group in Hong Kong offering banking, insurance, financial and other related services through its growing network of over 70 branches in Hong Kong, Macau and Mainland China. Our currency is caring, teamwork and progressiveness. We accept that everyone is unique and different in talent, but alike in the capacity for growth. Our task is to shape a culture that creates a sense of pride in achieving something beyond just a job,

Dah Sing Financial Group - Hong Kong - Full time

Salary: Competitive

About Dah Sing Group
The Dah Sing Group is a leading financial services group in Hong Kong offering banking, insurance, financial and other related services through its growing network of over 70 branches in Hong Kong, Macau and Mainland China.
Our currency is caring, teamwork and progressiveness. We accept that everyone is unique and different in talent, but alike in the capacity for growth. Our task is to shape a culture that creates a sense of pride in achieving something beyond just a job, and an environment where you can be your true and authentic self, like at home.

Job Purpose:
Work in the Data Governance & Quality Management domain to serve as the contact point for governance, data quality and protection issues and work with Business and Function area leadership to improve the quality and value of core data assets as well as support the strategic data requirements of the group and provide guidance to others in data analytics projects from data governance perspectives.

Main Responsibilities:
  • Maintain the data governance and management policy, guidelines and controls, oversee execution and review them on an annual basis.
  • Rollout bank wide data governance framework, with a focus on improvement in data quality and protection of sensitive data through modifications to organizational behavior, policies and standards, principles, governance metrics, processes, related tools and data architecture.
  • Analyze compliance requirements, the current state of various data management areas; identify data risks and control or compliance gaps.
  • Support Data Governance Committee to drive data governance initiatives towards the bank's data strategies and provide periodic progress reports to Data Governance Committee and task forces.
  • Participate in Data Analytics Center of Excellence to support execution of bank's data strategy and management in all data-driven business initiatives.
  • Participate in data projects from data governance perspectives to provide guidance to ensure data is secure, private, accurate, available, and usable throughout the data life cycle.
  • Facilitate to define data domains, critical data elements, data standards and identify data owners and promote to improve data quality.
  • Facilitate the development and implementation of data quality monitoring, data standards, data governance tools and adoption requirements across the bank and define the corresponding indicators of performance.
  • Be responsible for understanding and managing the organizational data risks and issues, and coordinating with data owners to accept or resolve them.
  • Design training and activities to promote organizational awareness and culture of data governance across People, Process and Technology.


Requirements:
  • University degree in Computer Science, Information Systems and/or related discipline.
  • Minimum 7 years working experience in Data Governance from recognized establishments in financial services and/or banking sector.
  • Experience in establishing and monitoring of data governance framework.
  • Knowledge of industry leading data quality and data protection management practices.
  • In-depth knowledge on business and operation models of banking, with thorough understanding on the local regulatory environment. Experience in GBA regulatory environment is perferable.
  • Knowledge of data governance practices, business and technology issues related to management of the enterprise information assets and approaches related to data protection.
  • Advanced analytical skills, be able to visualize opportunity and issues from data.
  • Proficiency in SQL , ETL, Microsoft Tools (Power BI, Access, Excel, Outlook, PowerPoint, Visio, Word)
  • Willingness to take challenges, resolve conflicts, and solve complicated problems.
  • Competent in managing and communicating with senior stakeholders.
  • Experience in Data analytics / Python / AI/ML / Data Platform implementation are preferable.
Please note that only shortlisted candidates will be notified.

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