Quality Manager

Development of the Quality Management System • Conceptualise and implement a Data QMS (Data Quality Management System) framework within SBV. • Source Data Quality Management Software to maintain clean data within SBV. • Define, monitor and maintain data integrity as well as improve on data quality. • Drive data improvement programme within SBV. • Implement practices that aim at maintaining a high quality of information (Data Governance) • Manage acquisition of data and the implementation of advanced data processes, to an effective distribution of data. • Determine and implement the process of testing and modifications. • Drive the embedment and maintenance of the data quality principles within SBV, monitor the progress and provide remedial action. • Responsible to provide SME guidance to the organisation in terms of implementing and maintaining the Data Governance Strategy and policies. • Coordinate mapping of processes, data flows, compilation of policies and procedures and drive review of existing policies for data quality. • Responsible for the integrity of information within SBV Systems data creation, storage, manipulation and consumption. • Collaborate with the relevant stakeholders to assist and support with new and existing projects as per the Data requirements. Monitor, Manage and Remediate Data Quality • Develop and implement master data strategy/programme to the relevant business units within the company. • Set Quality Standards, establish and identify data quality tools. • Facilitate resolution of data issues identified from Enterprise Data Governance Steerco. • Responsible for data quality monitoring, data issue root cause analysis and remediation. • Formulate data management dashboards to monitor data maturity. • Plan and create data quality procedures, standards and specifications in accordance with expected standards of delivery and by following the necessary approval levels. • Liaise with relevant Stakeholders to establish quality requirements from external suppliers and incorporate in the implementation of the Data Quality Framework. Quality Framework • Audit data services provided by suppliers to determine that the quality of data is up to standard before implementing product/service offering. • Liaise with the IT Manager, data stewards/data consumers and set standards in relation to data quality. • Understand the flow of data between dependant systems in order to identify and implement data quality control points. • Liaise with various business units to gather, understand and monitor the functional data requirements and resolve any discrepancies. • Perform gap analysis on data integrity and apply controls to fulfil identified gaps. • Benchmark processes to provide assurance that applicable data meets international and national standards. • Research best practice in terms of quality standard measures, and make recommendations for changes or actions, while adhering to both national and international standards. Data Quality Tools • Make use of Data Quality tools to monitor quality of data and exceptions by gathering relevant data and producing statistical reports with recommendations for improvements. • Make use of relevant quality tools which adhere to SBV policy and educate SBV employees to understand how to improve data integrity. • Understand customer needs and requirements to develop effective Data Quality Control System. • Oversee all the acquisition, processing and manipulating of Data storage from Quality standards, inspecting the final output and comparing properties to requirements. • Solicit feedback from data consumers to assess whether their requirements are met, if not met implement measures to close the identified gaps. Compliance and Risk Management • Monitor compliance to the regulatory body requirements across SBV. • Provide support to internal and external stakeholders regarding adherence to regulatory requirements e.g. Industry (SARB), POPI Act (accuracy of data, Cash Logix sharing of data with 3rd parties. • Actively drive the importance of adherence to the legislation and regulations, to reduce penalties such as SARB Penalties, ATM SLA Penalties, Service Penalties, etc. • Review existing BCM plans for data storage, transfer and consumption for one’s allocated divisions and make recommendations regarding any changes to those plans. Requirements • Minimum 3 years’ experience working within an information or data governance setting including master data (e.g. data quality, data compliance, governance) with exposure to: o Data architecture process mapping. o Quality control procedures and relevant legal standards. o Drafting, reviewing and vetting of policies and procedures. o Business intelligence and Reporting tools. o Software development projects and implementing data quality tools and principles, etc. • Banking and Cash Industry (Advantageous)

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