Job Description
Minimum Experience
Minimum 3 years of direct experience in data-related programs, ideally in financial services.
Good operational knowledge of metadata management processes.
Experience of collating, designing and presenting top quality management information to senior leadership stakeholders
Knowledge, Skills, And Attributes
Knowledge and Skills
Good knowledge of Data Governance and Metadata Management, frameworks, policies, and procedures.
Experience working on strategic programs and by synthesizing business requirements and priorities with existing organisational capabilities.
Good knowledge of Metadata Management
Technical knowledge of Informatica EDC / CDGC is a must.
Good Python and SQL knowledge and analytical skills
Core Responsibilities
Define and implement change governance processes of metadata content including change severity, service level agreements and reporting of high impact data changes to relevant data governance committees.
Execute ongoing data discovery to identify new/amended data elements to ensure that the data landscape is comprehensively defined and remains up to date through ongoing maintenance.
Define, curate, and enrich data elements within the enterprise glossary to drive a consistent understanding and use of data elements across FAB in collaboration with business data stewards and data owners.
Enforce changes to business applications (source/target systems) to align them to data rules defined within the enterprise glossary.
Implement and validate an end-to-end visualization-enabled data lineage to support traceability of data elements so that impact and root cause analysis can be optimized.
Implement data tagging of curated data elements with the appropriate security and privacy classification to enable effective implementation of regulatory requirements (e.g PII, PCI-DSS, CPR)
Coordinate with Group Information Security (GIS) to ensure that the security controls applied on data are in accordance with the data classification criteria in order to prevent data leakage and unauthorized access.
Collaborate with the Data Quality Management teams to ensure that the data quality rules defined within the enterprise glossary are accurately and consistently executed as per metadata definitions and identify data quality gaps that require remediation.
Monitor periodic data loads to the metadata platform in order to track success/failure of data loads that can impact the accuracy of data quality reporting and resolve timeously.
Conduct awareness programs, technical training and documentation with various stakeholders in support of metadata policies and procedures.
All the above accountabilities include but not limited to any additional/new tasks or responsibilities assigned by the line Manager.
