136 Data Governance Specialist jobs in South Africa

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.

• 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

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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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

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.

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

Purpose of the role

The Product Management and Data Quality Specialist is responsible for managing the product catalog and ensuring the commercial performance of products throughout their lifecycle. The role focuses on maintaining the accuracy, completeness, and integrity of product data, implementing data governance standards, and supporting internal and external stakeholders. This specialist plays a key role in optimizing product range management, driving data quality initiatives, and ensuring effective collaboration across departments to support business objectives.

Product Data and Catalog Management

• Develop, maintain, and ensure the accuracy and completeness of product catalog data.
• Monitor product data quality, analyze trends, and identify opportunities to optimize the product range.
• Implement and enforce product catalog data standards and governance policies.
• Collaborate with suppliers, 1P/3P partners, and internal stakeholders to maintain up-to-date and accurate product information.
• Ensure appropriate stock allocation, validate supplier agreements, and monitor replenishment modes throughout the product lifecycle (Range A/S, Top 1/2/0, Franco/PCB).
• Develop and implement processes to guarantee data quality and integrity.
• Provide training and support on product catalog management best practices.

Product Range and Lifecycle Management

• Support the Category Manager in constructing and continuously improving the product range.
• Optimize product allocation within the correct typology (Department / Sub-department / Type / Sub-type) to enhance performance monitoring.
• Build and maintain product range listings and range synoptics, ensuring timely updates and communication to stores.
• Manage product lifecycle and address market-specific requirements.
• Collect and analyze customer feedback to improve product range effectiveness.
• Collaborate on promotional activities and ensure effective execution.
• Prepare data and negotiation planners for supplier negotiations and monitor contracts and invoicing compliance.

Stakeholder Collaboration and Communication

• Serve as the primary point of contact for stores regarding product data and range matters.
• Communicate clearly and effectively, ensuring stakeholders understand updates and adopt changes.
• Build and maintain strong relationships with internal teams (Supply Chain, Merchandising, OmniCommerce) and external partners (suppliers, vendors).

Process Improvement and Technology Utilization

• Identify and implement continuous improvement initiatives in product data management processes.
• Utilize AI and digital tools to enhance research, analysis, reporting, and workflow efficiency.
• Respond to cross-functional project requests within the area of expertise.

Behavioral Expectations

• Demonstrate enthusiasm, collaboration, and a positive approach to work.
• Champion and embody company values internally and externally.
• Maintain professionalism, integrity, and reliability in all responsibilities.

Requirements

• Bachelor's degree in Business Administration, Supply Chain, Data Management, Marketing, or related field.
• 3–5 years' experience in product data management, catalog management, or category management, preferably in retail or e-commerce.
• Strong proficiency in Excel, data analysis, and reporting tools.
• Familiarity with PIM, ERP, or CRM systems (e.g., SAP, Oracle, Akeneo).
• Exceptional attention to detail, analytical skills, and project management abilities.
• Excellent communication and interpersonal skills to collaborate with cross-functional teams and suppliers.
• Proactive, adaptable, and committed to continuous process improvement.

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

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

The Senior Data Quality Analyst is responsible for leading initiatives that ensure the accuracy, consistency, and reliability of the organisation’s data assets. This role involves designing and implementing data quality frameworks, monitoring key data quality metrics, and collaborating with stakeholders across business and technology units to maintain high data standards. The incumbent acts as a subject-matter expert in data quality tools and governance practices, driving a culture of data integrity and continuous improvement throughout the organisation.

Key Responsibilities: