Job Description

Support the Data Governance program to mature our data governance discipline through continuous improvement of

Data Quality

• Acquire data from primary or secondary data sources to maintain data quality scoring and aggregated results repository
• Profile and analyze data to identify patterns of data quality issues with understanding of business definitions and system conditions
• Develop data quality rules & metrics using multiplex and structured queries in the SQL platform and generate results in a dashboard format
• Execute processes to monitor, measure and report the quality status with acceptable level of data quality
• Collaborate with Data Engineering and Technology teams to implement effective automation process for monitoring and tracking of data quality metrics
• Support business engagement on data quality improvement initiatives

Business Metadata

• Develop, maintain, and manage publication of business metadata
• Perform periodic review on business metadata to ensure adherence to metadata standards i.e. consistency, standardization
• Collaborate with all impacted functions to ensure metadata definitions are updated to reflect the changes to source data / database
• Facilitate resolution of business metadata definitions issues
• Identify metadata gaps and discrepancies (e.g. inconsistency in definition across applications)
• Responsible for communicating with data consumers on changes made to the data dictionary, maintaining version control documents to enable audit trail for changes, and ensuring defined metadata standards and definitions are adhered to by respective Function

Qualifications

• Experience in data management e.g. data governance program implementation, metadata development, and data quality program implementation in banking or other industry
• Experience in data analysis, data profiling, and communicating concepts and results to a variety of audiences
• Experience in using data visualization or reporting tools i.e. Business Intelligence tool, Data Quality tool, or statistical package
• Good knowledge of programming languages particularly in SQL and statistical knowledge
• Good understanding of banking products, respective data domains, as well as relationships with system domains and banking data concepts with emphasis on metadata definitions (business and technical)
• Ability to absorb information and data from multiple sources, apply strong analytical skills, and provide thoughtful and strategic recommendations to deliver tangible business value
• Ability to work on cross-functional units with excellent verbal & written communication skills

Recruiter

Poranee Keeratisuntohrn