Quality Assurance 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. 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 dependent 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. 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. Liaise with business partners, data governance stakeholders and IT Development to implement timely remediation recommendations. Analyse non-conformance related to data quality and together with the relevant stakeholders identify training needs and apply required training interventions. Prepare any documentation required for management meetings to comply with management reviews including regular reports on quality and operational excellence in relation to the latest ISO standards. Educate and involve SBV employees in relation to the latest ISO standards. Responsible for providing input during update and maintenance of the (SOPs) Standard Operating Procedures impacting data quality. Formulate and chair the Data Quality Governance Steering Committee for data issue identification, analysis and remediation. Co-ordinate data stewardship within the organisation and educate data stewards on data quality. Create and execute a communication plan for data owners to make them aware of and understand the information governance strategy and policies. Design and maintain master data management governance structure including: Policies and processes Providing guidelines to the various system owners Improving the quality of the data with the company system. Develop, maintain and implement controls over master data management. Understand, map and migrate the relevant data in relation to data governance. Identify and consult data owners to compile gap analysis assessment on planned documentation detailing where anomalies have been noted and recommendations made to update the existing policy and/or procedures. Support data owners by obtaining the relevant information and the sign off process. Draw up a project plan for approval by the Divisional Manager: Quality to validate that updates are communicated timeously to the relevant parties. Co-ordinate the deliverables against the project plan to ensure that all deliverables are met within the agreed timeframe. Provide input and suggest changes to policies and procedures and data standards within your area of responsibility Analyse systems changes that impact data quality within the enterprise. Compile audit plan and conduct audits to prevent poor data quality. Conduct gap analysis assessment to document and to identify processes which are being carried out, to make sure supporting Policy and/or Procedure is in place. Draw up a project plan for approval by the Divisional Manager: Quality to ensure that data quality objectives are communicated timeously to the relevant parties. Compile a first draft of the policy or procedure and validate the draft. Amend policy or procedures to ensure that data integrity is achieved and send the first draft to designated persons for review and co-ordinate sign off. 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 the below for the allocated division: SARB Penalties ATM SLA Penalties Service Penalties, etc Monitor and Control adherence to regulatory compliances by using the Data Quality Software and manage data quality exceptions and provide visibility through reporting. Develop and refine high quality monthly and quarterly reports. Risk Management within your area of functioning Review existing BCM plans for data storage, transfer and consumption for one's allocated divisions and make recommendations regarding any changes to those plans. Utilise successful results from the communication test to provide assurance of BCM readiness data. Provide input from a risk mitigation perspective to prevent further occurrences of the same/similar incidents. Conduct regular on-site and remote Data Quality inspections and report on findings and recommendations for data improvements. Minimum Requirements: Experience 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: Data architecture process mapping. Quality control procedures and relevant legal standards. Drafting, reviewing and vetting of policies and procedures. Business intelligence and Reporting tools. Software development projects and implementing data quality tools and principles, etc. Banking and Cash Industry (Advantageous) Minimum Requirements: Education Relevant Bachelor's Degree. latest ISO Standards Certification (Advantageous)

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