The overall responsibility of this position will be leading and managing the Information Management Section to ensure that all the sectional, departmental and divisional objectives are achieved through innovation, the application of best-fit technology and operational excellence. 1. NQF 8: Relevant Honours Degree or Post Graduate Diploma in Computer Science/ Informatics/Statistics/Data Analytics/Data Science or any other equivalent&relevant NQF 8 qualification. 2. Five years team management experience. 3. Eight years of experience in Digital Technology Applications and Project Management. 4.Four years of experience in either Laboratory Information Management (LIMS), Data Analytics/Modelling or Business Intelligence (BI) systems/applications environments, including the implementation and maintenance/support thereof. 5. Three years specific experience in one of the major LIMS (LabWare LIMS or other LIMS systems) and BI applications (SAS, SPSS, SAP BI). 6. Three years’ experience in managing a large SQL Database Management System (DBMS) for production, quality assurance and development environments, including compliance to associated cyber security. Primary Duties Manage the information management section of the Scientific Services division by: Responsible and accountable for the planning, implementation, management, optimization and maintenance of laboratory information management, business intelligence, statistical modelling and decision support systems in the division including connectivity to other systems. Ensure the divisional goals, objectives, key performance areas&indicators and targets are met with respect to information management. Ensuring database integrity and optimization, mutli-dimensional database designs and adequate backup and disaster recovery protocols. Provide strategic direction to the division and stay abreast of modern trends with respect to information management. Develop, implement and manage all business systems, service level agreements, policies and procedures within the section. Ensure the proper management of the Laboratory Information Management Systems (LIMS) within an ISO 17025 accredited analytical facility. Manage data transformation and integration services, Business Intelligence (BI) and Decision Support Systems (DSS) in an ISO 9001 certified environment. Ensure processes are in place to enable the correct and accurate reporting, especially the SANS 241 water quality compliance reporting, through the Statistical Analysis System (SAS) and any other related reporting. Manage a team of competent information management professionals, including the management of all resources to ensure the achievement of key performance areas. Ensuring that all customers are satisfied with the services provided from the section by directing and leading the section so that it remains focused towards service excellence and innovation. Ensure that the section and systems under management, complies with norms and standards as determined or recommended by best practice, legislation, international&national standards, the Auditor General of South Africa and Rand Water’s Internal Auditors. Represent the division at various Rand Water Digital Technology and Information Management governance structures and others as the need requires it. Knowledge A sound understanding and proven working experience of the entire water supply chain and its support systems (LIMS, Decision Support Systems, Statistical Reports, Business Intelligence etc.) Technical expertise regarding data models, database design development, data mining and segmentation techniques. Extensive knowledge of LIMS systems (the management, maintenance and resilience). Strong knowledge of and experience with reporting packages (SAS, SAP BI etc.…), databases (MS SQL etc.…), programming (XML, Javascript, or ETL frameworks). Knowledge of statistics and experience using statistical packages for analysing large datasets (Excel, SPSS, SAS etc.…). Experienced at being audited by Internal Audit specialists and the Auditor General of South Africa. Adept at queries, report writing and presenting findings. Fundamental understanding of ISO 17025 and ISO 9001 requirements. A working knowledge of network and server infrastructure. Skills Ability to interpret data and information. Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy. Ability to impart knowledge and work independently. Analytical and strategic thinker with sound judgment. Trouble shooting and problem-solving skills are an imperative. Sound negotiation, interface and presentation skills at all levels and across divisions/portfolios. Technical expertise regarding data models, database design development, data mining and segmentation techniques. Adept at procedure and policy writing. Programming in multiple computer languages Good communication and negotiation skills. Proven management/supervisory, planning and organisational skills Project management Strong commitment to quality and integrity Ability to effectively present information and respond to questions from groups of managers. Data Transformation and Integration Services Data Definition Language and Data Catalogues Software license management Database Administration, Data Architecture and Data Flow Analysis LIMS, DSS&BI Application management. JAD facilitation and analytical and Systems thinking System and application integration End-user support processes Define, create, maintain and execute application release&upgrade plans and version control&configuration control procedures. Resilient and perseverance Self-motivated and a self-starter. Organizational Awareness Stress Mastery Personal flexibility Identify current capabilities and future needs and define performance standards. Ability to interact with diverse groups of people. High level of integrity Service orientated Policy We are committed to Employment Equity when recruiting internally and externally. In evaluating prospective applicants and making the final selection, preference will be given to females and/ or people with disabilities to give effect to Rand Water's Employment Equity objectives. Be aware of fraudulent activities and unwarranted misrepresentations on behalf of Rand Water. No money exchangeor any form of reward is expected from potential applicants in response to any vacant positions or similar advertisements. Pleasevisit our Rand Water website to confirm official opportunities available OR report any suspicious activities to the Rand Water hotline:0800 212 364. Cancel Request to Remove Personal Information? 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