Job Description

• Reporting to Vice President (Digitalisation Office), the Assistant Vice President (Data Management, Digitalisation Office) will be responsible for (1) laying the foundation of enterprise-wide data analytics capabilities, including the frameworks for the ingestion, standardisation, governance, quality management and analyses of data; and (2) leading innovative data projects for the HKMC Group.  The incumbent will:
• be responsible for the overall data management strategy and metadata management;
• understand the data models and work processes in different business domains to identify their interactions, and formulate a strategy for data aggregation and achieving data consistency and accuracy;
• establish the infrastructure for a scalable data mart / warehouse / platform and data visualisation, and propose solutions to enhance business units’ ability to make evidence-based decisions;
• formulate the data governance framework including best practices for data processing, monitoring data flow and ensuring data quality;
• serve as the leading technical expert for innovative data projects; and
• communicate with different business units on the data strategy and promote good data culture within the organisation.
• The employment will be on a 3-year contract term subject to renewal.

• University degree preferably in Computer Science, Information Technology, Engineering, Mathematics, or related disciplines;
• A minimum of 10 years’ solid experience in data analytics, data application / platform management, master data management, information delivery, with at least 3 years’ experience in supervisory role;
• Solid track record of IT sizable project experience in data warehouse, data analytics, ETL (extract, transform, load), business intelligence reporting, etc.;
• Strong technical foundation and knowledge on cloud data platform implementation in the banking, finance and insurance industry is preferable;
• Experience in data warehouse / data mart solution design and delivery using numerous relationship database technologies is preferable;
• Logical, detailed-minded, and well-organised; and
• Proficiency in both English and Chinese with good communication and presentation skills.