64 Data Stewardship jobs in South Africa
Data Stewardship Manager
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The Council for Scientific and Industrial Research (CSIR) is a leading scientific and technology research organisation that research, develops, localises and diffuses technologies to accelerate socio-economic prosperity in South Africa. The organisation's work contributes to industrial development and supports a capable state. The CSIR has a vacancy for a Data Stewardship Manager in the
The Council for Scientific and Industrial Research (CSIR) is a leading scientific and technology research organisation that researches, develops, localises and diffuses technologies to accelerate socio-economic prosperity in South Africa. The organisations work contributes to industrial development and supports a capable state.
Data Stewardship Manager
About The Job
The CSIR has a vacancy for a
Data Stewardship Manager
in the Data Intensive Research Initiative South Africa (DIRISA) group within the National Integrated Cyberinfrastructure System (NICIS) that forms part of the Next Generation Enterprises and Institutions (NGEI) cluster. The incumbent will be expected to work at strategic, tactical, and operational levels of management to deliver on DIRISAs mandate and strategy and apply project management expertise together with appropriate technical/domain/sector/industry specific technical acumen to achieve project goals by managing the total project management life cycle within project constraints according to applicable project management framework(s). This position is based in Pretoria and will report to the Manager: DIRISA.
For more info about the CSIR, Cluster, and DIRISA, please visit: , , and , respectively.
Key Responsibilities
- Lead and manage the conceptualization and implementation of data stewardship standards, policies and guidelines within an ICT infrastructure development team of DIRISA and within NICIS;
Advocate, coordinate and support across user communities, the formulation and adoption of data stewardship policies and recommended practices focused on disciplines and across the research data management life cycle;
Facilitate the development of standards for data stewardship that are internationally benchmarked and harmonized with principles of Open Data and Open Science;
- Ensure that data stewardship policies regulate the accessibility, utilisation, and dissemination of DIRISAs products and services across the data management lifecycle (acquisition, preservation, maintenance, and archiving of digital assets);
- Drive the dissemination and public disposition of DIRISA in terms of approved data stewardship policies across the DIRISA user base;
- Promulgate policies and standards and promote acceptance by the community of data providers and users and a wider audience (such as national, provincial, and municipal governments);
- Promote the adoption of recommended practices by data custodians and data generators in research data management (RDM) throughout its life cycle;
- Ensure that appropriate data provider agreements are entered into with data custodians;
- Analyse, document and coordinate the implementation of systems and processes to meet standards and conform to policies for RDM;
- Manage a subgroup of DIRISA and drive the implementation and automation of RDM policies with DIRISA software engineers, developers, system administrators, and data standards developers;
Coordinate and drive the development and coherence of domain-specific RDM policies such as Ethics, Security, and Privacy.
Ensure strategic alignment of DIRISAs RDM standards and policies with national directives and priorities;
- Maintain relationships and interact with key stakeholders and users to ensure that their opinion is considered in the formulation of RDM standards and policies;
- Prepare and present periodic progress reports to ensure feedback and communication with stakeholders;
- Regularly review contemporary and emerging trends in RDM standards and policies, and ensure that their implications are accommodated in, and improve DIRISAs service delivery;
- Serve as an expert on data management principles for the research community in general; provide stakeholders and data providers with guidance and information on recommended practices for RDM;
- Participate as part of the DIRISA team in the review and development of ICT standards and procedures, and best practices to ensure compliant service delivery;
- Interact and liaise closely with other NICIS service areas in the development and deployment of RDM standards and policies;
- Mentor and advance knowledge of staff, provide guidance and leadership in DIRISA related to standards and policy implementation;
- Conduct awareness sessions, workshops, and training for researchers, students, and staff on governance, data management planning, datathons / hackathons, and best stewardship practices;
- Participate in and contribute to related activities in the DIRISA portfolio;
- Apply data science methods (e.g., machine learning, statistical modelling, visualization) to derive insights from research datasets;
- Collaborate with researchers to design reproducible data pipelines and analytical workflows;
- Support innovation by identifying opportunities to leverage AI, big data, and advanced analytics for national research priorities.
Qualifications, Skills And Experience
- An Honours degree in computer science, information science, information systems or related fields with at least ten years experience in data science, information systems or related of which three years should be in data management in a related field and five years in stakeholder interaction, evidenced by chairing data related structures;
- A Masters degree will be advantageous;
- Knowledge of data management, and a desire to advance expertise in emergent trends such as Open Data and Open Science;
- A track record of data governance responsibility or contribution to at least one data/information management project;
- Knowledge at graduate level, of data, information and knowledge management, value chain management and operationalization strategy;
- An understanding of standards, the standards development lifecycle, intellectual property, copyright in the South African context, and of relevant existing policies and legislation, e.g. POPI, Spatial Data Infrastructure Act; National Policy on Data and Cloud
- Knowledge of, and skills to manage continuous improvement and change management;
- Willingness to learn additional skills and to mentor and collaborate within a team of data and ICT personnel;
- Understanding of finances and budgets;
- People management and leadership skills;
- Excellent communication and presentation skills;
- High-level planning and organisational skills.
Whats in it for you?
The CSIR Offers
- Flexible hybrid work arrangement;
- Learning and development opportunities.
- Competitive and market-related remuneration packages.
- Total guaranteed salary packages which encompass contributions to the pension fund, risk insurance and medical scheme.
- We openly acknowledge and reward our employees' contributions and accomplishments through our esteemed CSIR Excellence Awards.
PLEASE NOTE THAT FEEDBACK WILL BE GIVEN TO SHORTLISTED CANDIDATES ONLY.
For more info, please contact the CSIR Recruitment Centre on
or email us at
The CSIR is an equal opportunity employer. As such, it is committed to the employment Equity Act and will through the filling of this vacancy, give preference to candidates from designated groups in terms of the Employment Equity Act. By applying for this position at the CSIR, the applicant understands, and agrees that the CSIR may solicit a credit and criminal report from registered credit bureau and/or South African Police Services (in relation to positions that requires trust and honesty and/or entail the handling of cash or finances), and may also verify the applicants educational qualification and employment history.
The CSIR reserves the right to remove the advertisement at any time before the stated closing date and it further reserves the right not to appoint if a suitable candidate is not identified. **
Data Integrity Specialist
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We are seeking a highly analytical and detail-oriented Enterprise Investment Data Integrity Specialist to join our client's team in Cape Town. This is a shared role between the Investment Management and Enterprise Risk Management teams, providing vital support in investment data quality, risk analytics and financial risk management processes.
You will play an instrumental role in maintaining a trusted, best-in-class investment dataset to support asset allocation, portfolio management and reporting. The role will also involve close collaboration with teams in the US and Bermuda, with the potential to lead a small team locally in South Africa.
Key Responsibilities:
- Analyse and communicate key drivers of risk and performance.
- Oversee stress results and provide insights into asset portfolio risk.
- Develop and maintain risk and analytics tools.
- Conduct investment data validation, verification and improvement.
- Identify and resolve data quality issues while implementing preventative solutions.
- Contribute to continuous improvement initiatives across investment data and risk assessments.
- Maintain accurate process documentation and ensure best practices.
- Provide training and support on data integrity practices.
Qualifications & Skills:
- Risk management or relevant experience within asset management, (re)insurance, banking or similar industries.
- Strong understanding of Fixed Income products.
- Proven experience in data management and data quality within the financial sector.
- Strong technical, analytical, and project management skills.
- Excellent written and verbal communication skills.
- Ability to work independently across global teams.
- Advanced MS Excel skills; MS SQL knowledge an advantage.
This is an exciting opportunity for a professional with strong financial data expertise to make a real impact in a global investment and risk management environment.
Interested candidates are invited to apply. Please note, only shortlisted applicants will be contacted.
Data Integrity Specialist
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Job Description
To gather data, store and maintain data, ensure its integrity and quality, and processing it into structured presentation as information
Manage costs / expenses within approved budget to achieve cost efficiencies.
Deliver exceptional service that exceeds customers' expectations through proactive, innovative and appropriate solutions.
Cultivate and manage objective working relationships with a variety of stakeholders, including end-users, SME's, project managers and senior staff members.
Accurate and timely delivery of all Financial and Non-Financial MIS for the business to ensure better decision-making.
Comply with governance in terms of legislative and audit requirements.
Ensure accurate and timely delivery of all Revenue Analysis for the business.
Accurate and timely delivery of source files to Business Intelligence Unit to ensure business have relevant information to maximise business opportunities.
Improve business decisions by providing accurate and reliable business intelligence (information) together with analyzing trends and data (monthly) for business.
Manage own development to increase own competencies.
Job Details
Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below.
24/09/25
All appointments will be made in line with FirstRand Group's Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.
Data Quality Officer
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TB HIV Care (THC), in existence since 1929, is an internationally recognised non-profit organisation. We provide health care services throughout South Africa to both the general population and communities at increased risk for HIV and TB, including adolescent girls and young women, sex workers and people who use drugs. THC provides a stimulating work environment and the opportunity to work with leaders in the field of HIV and TB prevention and care. Our work culture is adapted to the constantly evolving South African health care environment and will suit solution-driven team players interested in opportunities for career development while working to connect people with care.
Purpose of the position:
To provide oversight and technical support to THC data capturers through facility level supervision and support visits (e.g. visit a facility once every two months), capacity building and data quality assurance (e.g. apply data verification tool every second visit to a facility and leave facility with an action plan). To support the flow of facility level data for accurate and timeous weekly, monthly, quarterly, semi-annual and annual reporting.
Minimum Requirements- NQF level 6 or equivalent qualification in data management or statistics, health, public health, social sciences, information technology, or related field will be an advantage
- At least 3 years' experience in data quality management, verification, conducting routine data quality assessments (RDQA) or data quality audits
- Experience in working on donor-funded projects is desirable
- Good understanding and experience in using one of the following NDoH information management systems (District Health Information System (DHIS), TIER.Net, Electronic Drug Resistance Register (EDRWEB), and/ Patient Record and Health Management Information System (PREHIMS) or Primary Health Care Information System (PHCIS), will be an added advantage
- Valid driver's licence and be willing to travel
- Clear criminal record
- Provide guidance to facility and community staff, relating to the effective ways to implement and adhere to the six key stages of data management
- Work with the M&E officers to develop and implement data quality assessment tools
- Conduct regular data verification visits, including detailed checking of reported data against source documents
- Ensure that data management systems and procedures are in place, implemented and adhered to
- Oversee TB project data management reports, as well as participate in data review meetings
- Conduct routine data quality assessments (RDQA) / data quality audits
- Write professional reports and provide feedback on data quality issues detected.
- Perform basic data analysis with the view to provide recommendations on improvement of data quality measures and controls
- Supervise data capturers within the sub-district to ensure that the data captured is valid, complete and has integrity
- Promote data usage for continuous quality improvement through feedback, training and capacity building activities
- Assist data capturers, facility and community staff, to develop data quality management plan (DQMP) to maintain data quality standards
Data Quality Analyst
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DLK Group | Contract
Data Quality Analyst (Senior-Level)
Cape Town, South Africa | Posted on 26/10/2025
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Job Information
- Date Opened 26/10/2025
- Job Type Contract
- Industry IT Services
- Work Experience 5-7 years
- Salary Market Related
- City Cape Town
- Province Western Cape
- Country South Africa
- Postal Code 7400
Job Description
The role of the Senior Data Quality Analyst encompasses many activities, including (but not limited to):
- Leading data quality initiatives and implementing frameworks to ensure data accuracy and reliability.
- Developing and maintaining data quality metrics and dashboards.
- Collaborating with data owners to define and enforce data governance policies.
- Conducting root cause analysis for data quality issues and recommending solutions.
- Mentoring and providing technical guidance and support in data quality tools and methodologies.
Requirements
Minimum Qualification:
- A Degree in Information Communication Technology (ICT) field incorporating (but not limited to) Computer Science or Software Engineering or Information Systems.
Minimum Experience
- Minimum of 5 years' experience in data quality roles; experience with data quality tools and business analysis documentation.
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Data Quality Coordinator
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Company Description
SGS is the world's leading Testing, Inspection and Certification company. We operate a network of over 2,500 laboratories and business facilities across 115 countries, supported by a team of 99,500 dedicated professionals. With over 145 years of service excellence, we combine the precision and accuracy that define Swiss companies to help organizations achieve the highest standards of quality, compliance, and sustainability.
Job Description
Primary Responsibilities
- Ensure integrity of system data in Finance Process cycle
- Provide support to System users
Specific Responsibilities
- Client master file clean-up
- Correct tagging of clients
- Correct full client details in system
- Correct VAT status of clients
- Correct site setup.
- Data quality for all new clients/maintenance of existing clients in line with procedure
- Roll out of Collect module in AR.
- Full implementation of client credit worthiness status, with changes to system accordingly.
- Improved turnaround time (TAT) for client creation.
- Cross system validation (ORACLE/Infor SUN/SLIM/G6/Doc-IT/PaperTrail)
- Adhere to all quality and safety requirements of the SGS management system.
- Perform any other reasonable tasks as assigned by direct line manager.
Qualifications
Education
- Matric (Grade 12)
Experience
- Accounting background (Accounts Receivable an advantage)
- Finance system knowledge
Additional Information
Required Skills
- Accounting packages (Infor SUN, ORACLE would be an advantage)
- Ability to administer new applications
- Proficient on MS Office applications, especially Excel and Word
- Email proficiency
- Support desk previous experience (an advantage)
- Attention to detail
- Organized
- Initiative and proactivity
- Innovation
- Able to professionally collaborate across all boundaries.
- Able to work without supervision.
- Self confidence
- Excellent Communication and people skills, very important
- Computer skills
- Ability to work under pressure
- Willing to learn and bring new ideas forward for improvement.
- Ability to take decisions based on sound reasoning
- Ability to work under pressure
- Accuracy – very important
- Adaptability
- Analytical thinking
- Commitment
- Continuous improvement
- Honesty and integrity
- Independent
- Initiative
- Logical thinking
- Self disciplined
- Team player
Data Quality Analyst
Posted today
Job Viewed
Job Description
The role of the Senior Data Quality Analyst encompasses many activities, including (but not limited to):
- Leading data quality initiatives and implementing frameworks to ensure data accuracy and reliability.
- Developing and maintaining data quality metrics and dashboards.
- Collaborating with data owners to define and enforce data governance policies.
- Conducting root cause analysis for data quality issues and recommending solutions.
- Mentoring and providing technical guidance and support in data quality tools and methodologies.
Minimum Qualification:
- A Degree in Information Communication Technology (ICT) field incorporating (but not limited to) Computer Science or Software Engineering or Information Systems.
Minimum Experience:
- Minimum of 5 years' experience in data quality roles; experience with data quality tools and business analysis documentation.
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Data Quality Analyst
Posted today
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Data profiling & quality assessments to identify inconsistencies and gaps
Collaborate with teams to resolve data quality issues and implement corrective measures
Create data quality reports and present at senior level stakeholders
For Senior level:
- Lead Data Quality initiatives and implement frameworks to ensure accuracy and reliability
- Develop and maintain data quality metrics and dashboards
- Collaborate with data owners to defineand enforce data governance policies
- Mentoring and provide technical guidance and support
Degree inn Information Communication Technology/Software Engineering/Computer Science/ Information systems
3-5 years experience in Data / Analytics/BI
2 years experience as a Data quality specialist/ or analyst working with Data Quality tools
Experience in Business analyses and documenting requirements
Between 3 - 5 Years
Data Quality Capability Lead
Posted today
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Job Description
Empowering Africa's tomorrow, together…one story at a time.
With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.
Job Summary
The Data Quality (DQ) Capability Lead is responsible for defining, implementing, and continuously improving data quality management capabilities across the organisation. This role leads the data quality capability team, ensuring effective delivery of services, adoption of tools, and alignment to the data governance framework. The role ensures data quality processes, tools, and practices enable trusted, accurate, and fit-for-purpose data, while driving adoption of enterprise-wide data quality standards, monitoring, and remediation practices.
Job Description
Key Responsibilities
- Lead the Data Quality Capability team, providing direction, coaching, and performance management to ensure delivery of high-quality services and continuous upskilling.
- Define, maintain, and optimise the data quality management operating model, including processes, procedures, KPIs, and responsibilities across the organisation.
- Own and govern enterprise-wide data quality standards, rules, and controls to ensure accuracy, completeness, timeliness, validity, and consistency of data.
- Define and maintain data quality metrics and reporting to enable transparent measurement of data health and accountability.
- Collaborate with data owners, custodians, and stewards to define, validate, and maintain data quality rules for critical data elements.
- Own and manage data quality tools and platforms, ensuring they support monitoring, remediation, and reporting needs effectively.
- Define and deliver training, communication, and enablement activities to build awareness and adoption of data quality practices across the organisation.
- Drive integration of data quality into upstream and downstream processes, including data lineage, metadata management, and data governance workflows.
- Support compliance with regulatory and internal requirements by ensuring data quality controls are implemented effectively.
- Facilitate collaboration across data domains and communities of practice to align data quality practices, share lessons learned, and resolve issues.
- Contribute to the design and execution of the enterprise data management and governance strategy, focusing on data quality enablement.
Education And Experience Required
- Minimum 3 years' experience defining or practicing enterprise data management and governance.
- BSc Information Technology, Risk Management, or equivalent Diploma.
- Proven experience in successfully implementing data quality capabilities, such as data profiling, data quality rules, monitoring, and remediation.
- Experience implementing data quality solutions or tools (e.g., Ataccama, Informatica, Collibra DQ, Talend) is advantageous.
- Exposure to data visualisation tools such as QlikView or Power BI advantageous.
- Minimum 3 years in Financial Services Industry.
- Preferred: 8–10 years' experience in data management, governance, or related fields.
- 3+ years leadership experience in managing teams in a data management or governance context.
Knowledge & Skills
- Strong understanding of data quality dimensions and principles (accuracy, completeness, consistency, validity, timeliness, uniqueness).
- Stakeholder management and change management fundamentals.
- Ability to work independently and manage multiple priorities in a fast-paced environment.
- Ability to define and implement standards, frameworks, and processes for data quality management.
- Strong stakeholder engagement and change management skills to drive adoption across business and technology teams.
- Analytical and problem-solving skills with attention to detail.
- Excellent communication skills to explain data quality concepts to technical and non-technical audiences.
- Exposure to metadata, data lineage, and data architecture principles advantageous.
- Understanding of regulatory and compliance requirements related to data quality.
- Must be familiar with broader data management principles, including metadata, reference data, master data, and data governance.
Education
Bachelor`s Degrees and Advanced Diplomas: Business, Commerce and Management Studies
Absa Bank Limited is an equal opportunity, affirmative action employer. In compliance with the Employment Equity Act 55 of 1998, preference will be given to suitable candidates from designated groups whose appointments will contribute towards achievement of equitable demographic representation of our workforce profile and add to the diversity of the Bank.
Absa Bank Limited reserves the right not to make an appointment to the post as advertised
Data Quality Capability Lead
Posted today
Job Viewed
Job Description
Empowering Africa's tomorrow, together…one story at a time.
With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.
Job Summary
The Data Quality (DQ) Capability Lead is responsible for defining, implementing, and continuously improving data quality management capabilities across the organisation. This role leads the data quality capability team, ensuring effective delivery of services, adoption of tools, and alignment to the data governance framework. The role ensures data quality processes, tools, and practices enable trusted, accurate, and fit-for-purpose data, while driving adoption of enterprise-wide data quality standards, monitoring, and remediation practices.
Job Description
Key Responsibilities
- Lead the Data Quality Capability team, providing direction, coaching, and performance management to ensure delivery of high-quality services and continuous upskilling.
- Define, maintain, and optimise the data quality management operating model, including processes, procedures, KPIs, and responsibilities across the organisation.
- Own and govern enterprise-wide data quality standards, rules, and controls to ensure accuracy, completeness, timeliness, validity, and consistency of data.
- Define and maintain data quality metrics and reporting to enable transparent measurement of data health and accountability.
- Collaborate with data owners, custodians, and stewards to define, validate, and maintain data quality rules for critical data elements.
- Own and manage data quality tools and platforms, ensuring they support monitoring, remediation, and reporting needs effectively.
- Define and deliver training, communication, and enablement activities to build awareness and adoption of data quality practices across the organisation.
- Drive integration of data quality into upstream and downstream processes, including data lineage, metadata management, and data governance workflows.
- Support compliance with regulatory and internal requirements by ensuring data quality controls are implemented effectively.
- Facilitate collaboration across data domains and communities of practice to align data quality practices, share lessons learned, and resolve issues.
- Contribute to the design and execution of the enterprise data management and governance strategy, focusing on data quality enablement.
Education and Experience Required
- Minimum 3 years' experience defining or practicing enterprise data management and governance.
- BSc Information Technology, Risk Management, or equivalent Diploma.
- Proven experience in successfully implementing data quality capabilities, such as data profiling, data quality rules, monitoring, and remediation.
- Experience implementing data quality solutions or tools (e.g., Ataccama, Informatica, Collibra DQ, Talend) is advantageous.
- Exposure to data visualisation tools such as QlikView or Power BI advantageous.
- Minimum 3 years in Financial Services Industry.
- Preferred: 8–10 years' experience in data management, governance, or related fields.
- 3+ years leadership experience in managing teams in a data management or governance context.
Knowledge & Skills
- Strong understanding of data quality dimensions and principles (accuracy, completeness, consistency, validity, timeliness, uniqueness).
- Stakeholder management and change management fundamentals.
- Ability to work independently and manage multiple priorities in a fast-paced environment.
- Ability to define and implement standards, frameworks, and processes for data quality management.
- Strong stakeholder engagement and change management skills to drive adoption across business and technology teams.
- Analytical and problem-solving skills with attention to detail.
- Excellent communication skills to explain data quality concepts to technical and non-technical audiences.
- Exposure to metadata, data lineage, and data architecture principles advantageous.
- Understanding of regulatory and compliance requirements related to data quality.
- Must be familiar with broader data management principles, including metadata, reference data, master data, and data governance.
Education
Bachelor`s Degrees and Advanced Diplomas: Business, Commerce and Management Studies
Absa Bank Limited is an equal opportunity, affirmative action employer. In compliance with the Employment Equity Act 55 of 1998, preference will be given to suitable candidates from designated groups whose appointments will contribute towards achievement of equitable demographic representation of our workforce profile and add to the diversity of the Bank.
Absa Bank Limited reserves the right not to make an appointment to the post as advertised