EDUCATION:

Master’s degree in Computer Science, Information Systems/Technology, Business administration or Data Science

WORK EXPERIENCE:

Minimum 7-8 years of experience in Financial Services with deep knowledge in various Data Management disciplines: Data Analytics, Data Quality, Business Intelligence, Data Governance
Job ID JB1100012199

JOB PURPOSE:

To assist and support the Head of Data Governance to strategize, manage and govern the business, technical and operational definition, classification, curation of organizational data assets in order to standardize data, drive a common understanding of data and to establish efficient methods for business and technical stakeholders or programs to locate, secure and use/re-use the data according to its intended purpose.

KEY RESPONSIBILITIES:

Develop and execute the vision, roadmap, framework and strategy for Data Governance by enforcing standards and rules to improve the integrity of DIB data
Implement a data ownership model to support change management of organizational data through establishing data accountability across data domains
Manage and ensure rigorous governance of the enterprise glossary/metadata repository in order to prevent the publishing of unapproved metadata data content for organizational usage
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 in order 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 in order to drive a consistent understanding and use of data elements across DIB in collaboration with business data stewards and data owners
Enforce changes to business applications (source/target systems) in order 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