Help on escalation points (e.g. Business has conflicting opinions on prioritization of a data element);
Heavily support the domain deployment activities; reviewing their activities during deployment (e.g. data cataloging tool usage, quality of definition, prioritization, sensitivity, retention etc.);
Conduct monitoring activities for each data governance component (e.g. Quality, Security); working together with other stakeholders as necessary;
Prepare training documents for tool usage and process execution;
Review and take action for domain ownership change requests (e.g. New domain request);
Facilitate cross-domain meetings and ensure that Working Group meeting is a functioning meeting;
Keep the committees up-to-date in terms of their structure;
Review enterprise level dashboards continuously to find improvement areas;
Track projects that rise out of remediation plans;
Collaborate with Security team to monitor the quality of selected privacy categories and compliance to established processes;
Monitor the tracking data storage and its impact on performance continuously (e.g. review a data retention heatmap) and approve data retiring by business or IT;
Support Data Governance Lead on framework, standard and tool selection/preparation and maintenance and collaborate with other teams as necessary (e.g. Security, Compliance);
Collaborate closely with business teams and data architecture team in the creation of standards;
Monitor compliance to standards in all areas (e.g. Review dashboards, question below target domains in committees etc.) and report to Data Governance Lead;
Namizədə tələblər
2+ years of experience with data / IT, data governance standards and practices in Banking;
Strong leadership experience in an enterprise or cross-functional role;
Strong interpersonal and communication/persuasion skills;
Strong project management leadership;
Experience in performance management metrics
Proven ability to coordinate cross functional teams of business, IT and other key stakeholders;
Strong skills in data analysis and quality profiling;
Familiarity with data quality issues and processes;