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The role is expected to work with a dynamic team to design and implement Data-related Governance Framework and policies, and enable the bank to leverage on data as an enterprise asset to support its strategic decision-making and actions. The function includes the following:
Entrench standards and controls in the enterprise-wide Data Management and Governance Framework and policies.
Work with stakeholders (e.g., Risk, IT, Business) to embed operational processes to support the policy objectives
Measure and report the effectiveness of the Framework and policies to senior management through the use of qualitative or quantitative metrics
Review results of the Data Quality (DQ) scorecards for CDEs, prioritise gaps for closure, as well as to identify owners and track status to drive the closure of these gaps
Support the secretariat role of bank-wide forums/committee
Work internally with colleagues within the department to update data management assets (such as the Business Glossary and Data Dictionary) to ensure that data management processes comply with the Framework & policies
In addition to the BAU functions stated above, the successful candidate will take part in related projects of the department.
Preferred 3-5 years of related working experience in the areas of data governance, management and quality
Alternatively, 5-8 years of working experience in a banking or financial consulting environment. Experience in data-related projects of similar scope and complexity involving data analytics and process improvement-related initiatives will be a bonus
General appreciation of data management principles and able to articulate how strong data governance & management processes will help with compliance of BCBS239 requirements
Demonstrable track record of dealing with ambiguity in a logical manner, prioritizing needs, and delivering results in a dynamic environment
Good verbal and written communication skills and ability to work with multiple stakeholders
Experience in BI analytics such as Tableau or QlikView and/or knowledge in data science programming language such as Python
Strong product knowledge including treasury products as well as commercial banking products