81 Data Management jobs in South Africa

We are seeking a highly skilled Data Management Specialist to join our financial services team. The ideal candidate will play a pivotal role in managing and enhancing data governance, quality, and architecture to support regulatory compliance, business insights, and operational efficiency.

• Develop and implement data management strategies aligned with business objectives and regulatory requirements.

• Establish and maintain data governance frameworks, policies, and standards.

• Monitor and ensure data quality, integrity, and accuracy across systems.

• Collaborate with stakeholders to define data requirements and metadata standards.

• Support the design and implementation of data architecture and integration solutions.

• Manage data lineage, classification, and cataloging processes.

• Drive continuous improvement in data processes and tools.

• Ensure compliance with data protection regulations and financial services standards.

• Bachelors degree in Information Systems, Data Science, or a related field.

• Proven experience in data management within the financial services sector.

• Strong knowledge of data governance, data quality, and metadata management.

• Familiarity with data architecture and regulatory frameworks (e.g., BCBS 239, GDPR, POPIA).

• Proficiency in data management tools and technologies (e.g., Collibra, Informatica, Microsoft Purview).

• Excellent analytical, communication, and stakeholder engagement skills.

• Relevant certifications (e.g., DAMA, DCAM).

• Experience in change management and data-driven digital transformation.

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The Head of Data Management will lead the development, implementation and management of the bank’s data strategy. This role is accountable for ensuring data integrity, availability, and security while supporting business objectives. The Head of Data Management will work closely with leadership, technology teams and business units to drive data governance, data quality and data architecture initiatives.

Job Responsibilities:

Data Strategy Development and Execution

• Develop and implement a comprehensive data management strategy aligned with the bank’s business goals.
• Drive the adoption of best practices for data management across the organization.
• Ensure data assets are managed and utilized effectively to support decision-making.

Data Architecture and Infrastructure

• Oversee the design, implementation, and maintenance of the bank’s data architecture.
• Collaborate with IT teams to ensure data systems and platforms are scalable, secure, and efficient.
• Evaluate and implement data management technologies and tools.

Data Quality and Integrity

• Lead efforts to ensure data accuracy, completeness, and reliability across the organization.
• Develop and enforce data quality standards and metrics.
• Implement data cleansing and validation processes.

Team Leadership and Development

• Build and manage a high-performing data management team, including data governance, data architecture, data scientists and data quality professionals.
• Provide mentorship, training, and career development opportunities to team members.
• Foster a collaborative and innovative team culture.

Collaboration and Stakeholder Management

• Work closely with business units to understand their data needs and challenges.
• Partner with IT, risk, and compliance teams to ensure data management aligns with broader organizational goals.
• Communicate data management strategies and progress to executive leadership.
• Identify and mitigate risks related to data management, including data breaches and unauthorized access.
• Ensure data management practices align with the bank’s risk management framework.

Innovation and Continuous Improvement

• Stay abreast of industry trends and advancements in data management.
• Continuously improve data management practices and processes to enhance efficiency and effectiveness.
• Drive innovation in data usage, including the implementation of advanced analytics and AI-driven insights.

Data Lifecycle management and Metadata management

• Ensure policies, processes and standards exist for data lifecycle management (i.e. Management of data from creation to deletion) and for metadata management
• Ensure metadata is up-to-date and accessible

Master Data Management

• Ensure policies, processes and standards exist for master data management
• Drive the centralization of key data (like customer information and product data) and ensure it is consistent across the bank.

Data Integration

• Ensure that data required to provide BI is combined from different sources to provide a unified view for Analytics team to utilize.
• Focus areas to achieve this include ETL processes, provision of data lakes, APIs and data synchronization between systems.

Qualifications and Experience:

• Completed a Post B-Degree in Computer Science, Information Systems, Data Management, Engineering or related field (NQF8)
• Completed or studying towards a master’s qualification
• At least 10 years’ experience in implementing and managing a data management function
• + 5 years banking or financial industry experience
• Proven track record of developing and implementing data management strategies and governance frameworks.
• Strong understanding of data management tools and technologies (e.g., SQL, ETL processes, data lakes, cloud platforms).
• Knowledge of regulatory requirements related to data management and privacy.
• Proficiency in data analytics and business intelligence tools.
• Strong understanding and experience with data architecture design, data warehousing, and data integration.
• Understanding of business operations and banking industry

Skills and Attributes:

• Excellent communication skills, both verbal and written with the ability to present complex technical information to non-technical stakeholders
• Strong project management skills and ability to deliver projects within allocated budget
• Strong strategic thinking and problem-solving skills.
• Strong attention to detail and commitment to data accuracy, quality and integrity
• Build relationships between various stakeholders to foster collaboration
• Ability to manage a team of and data scientists, data quality, BI and data architecture specialists
• Methodical
• Creative or Innovative
• Analytical and strategic thinker
• Self- driven and resilient
• High pressure tolerance

Closing date: 10 June 2025

Disclaimers:

The South African Postbank SOC Limited is committed to the achievement and maintenance of diversity and equity in employment, especially with regard to race, gender and disability. In compliance with the bank’s employment equity plans, we encourage and welcome applications from diverse groups from the South African Employee active population. Correspondence will be limited to short-listed candidates only.

Note, only applications received on this platform will be considered. “POPIA sections provides that everyone has the right to privacy and it includes a right to protection against the unlawful collection, retention, dissemination and use of personal information. By applying for employment you consent to the processing of your personal information with Postbank. Your personal information and any attached text or documentation are retained by Postbank for a period in accordance with relevant data legislation.”

If you do not hear from the South African Postbank SOC Limited or its Agent within 3 months of this advertisement, please accept that your application has been unsuccessful. The South African Postbank SOC Limited reserves the right not to fill the positions or to re-advertise the positions at any time.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Finance and Information Technology
• Industries Banking and Financial Services

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2 weeks ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features.

The Head of Data Management will lead the development, implementation and management of the bank's data strategy.

This role is accountable for ensuring data integrity, availability, and security while supporting business objectives.

The Head of Data Management will work closely with leadership, technology teams and business units to drive data governance, data quality and data architecture initiatives.

Job Responsibilities : Data Strategy Development and Execution Develop and implement a comprehensive data management strategy aligned with the bank's business goals.

Drive the adoption of best practices for data management across the organization.

Ensure data assets are managed and utilized effectively to support decision-making.

Data Architecture and Infrastructure Oversee the design, implementation, and maintenance of the bank's data architecture.

Collaborate with IT teams to ensure data systems and platforms are scalable, secure, and efficient.

Evaluate and implement data management technologies and tools.

Data Quality and Integrity Lead efforts to ensure data accuracy, completeness, and reliability across the organization.

Develop and enforce data quality standards and metrics.

Implement data cleansing and validation processes.

Team Leadership and Development Build and manage a high-performing data management team, including data governance, data architecture, data scientists and data quality professionals.

Provide mentorship, training, and career development opportunities to team members.

Foster a collaborative and innovative team culture.

Collaboration and Stakeholder Management Work closely with business units to understand their data needs and challenges.

Partner with IT, risk, and compliance teams to ensure data management aligns with broader organizational goals.

Communicate data management strategies and progress to executive leadership.

Identify and mitigate risks related to data management, including data breaches and unauthorized access.

Ensure data management practices align with the bank's risk management framework.

Innovation and Continuous Improvement Stay abreast of industry trends and advancements in data management.

Continuously improve data management practices and processes to enhance efficiency and effectiveness.

Drive innovation in data usage, including the implementation of advanced analytics and AI-driven insights.

Data Lifecycle management and Metadata management Ensure policies, processes and standards exist for data lifecycle management (i.e.

Management of data from creation to deletion) and for metadata management Ensure metadata is up-to-date and accessible Master Data Management Ensure policies, processes and standards exist for master data management Drive the centralization of key data (like customer information and product data) and ensure it is consistent across the bank.

Data Integration Ensure that data required to provide BI is combined from different sources to provide a unified view for Analytics team to utilize.

Focus areas to achieve this include ETL processes, provision of data lakes, APIs and data synchronization between systems.

Qualifications and Experience : Completed a Post B-Degree in Computer Science, Information Systems, Data Management, Engineering or related field (NQF8) Completed or studying towards a master's qualification At least 10 years' experience in implementing and managing a data management function + 5 years banking or financial industry experience Proven track record of developing and implementing data management strategies and governance frameworks.

Strong understanding of data management tools and technologies (e.g., SQL, ETL processes, data lakes, cloud platforms).

Knowledge of regulatory requirements related to data management and privacy.

Proficiency in data analytics and business intelligence tools.

Strong understanding and experience with data architecture design, data warehousing, and data integration.

Understanding of business operations and banking industry Skills and Attributes : Excellent communication skills, both verbal and written with the ability to present complex technical information to non-technical stakeholders Strong project management skills and ability to deliver projects within allocated budget Strong strategic thinking and problem-solving skills.

Strong attention to detail and commitment to data accuracy, quality and integrity Build relationships between various stakeholders to foster collaboration Ability to manage a team of and data scientists, data quality, BI and data architecture specialists Methodical Creative or Innovative Analytical and strategic thinker Self- driven and resilient High pressure tolerance Closing date : 10 June Disclaimers : The South African Postbank SOC Limited is committed to the achievement and maintenance of diversity and equity in employment, especially with regard to race, gender and disability.

In compliance with the bank's employment equity plans, we encourage and welcome applications from diverse groups from the South African Employee active population.

Correspondence will be limited to short-listed candidates only.

Note, only applications received on this platform will be considered.

POPIA sections provides that everyone has the right to privacy and it includes a right to protection against the unlawful collection, retention, dissemination and use of personal information.

By applying for employment you consent to the processing of your personal information with Postbank.

Your personal information and any attached text or documentation are retained by Postbank for a period in accordance with relevant data legislation." If you do not hear from the South African Postbank SOC Limited or its Agent within 3 months of this advertisement, please accept that your application has been unsuccessful.

The South African Postbank SOC Limited reserves the right not to fill the positions or to re-advertise the positions at any time.

Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Finance and Information Technology Industries Banking and Financial Services Referrals increase your chances of interviewing at Postbank (SOC) Ltd by 2x Get notified about new Head of Data Management jobs in Pretoria, Gauteng, South Africa .

Pretoria, Gauteng, South Africa 2 hours ago Johannesburg Metropolitan Area 2 days ago Centurion, Gauteng, South Africa 3 weeks ago We're unlocking community knowledge in a new way.

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Are you passionate about data management and information systems? Our client is seeking a skilled individual to join their team as a Data & Management Information Systems Specialist!

1. Head office-based role working with Operations Head, Finance Manager & IT.
2. Understanding of the Companies Operating Model & business processes.
3. Responsible for change control of data into production environment.
4. Align with data architecture & data design mapping to enable data integration.

Qlik; XLS; Power Bi; Internal Applications (proprietary systems built in-house)

1. Experience in financial services/Wealth Management (beneficial).
2. Exposure to Xplan (beneficial).

The purpose of this role is to maintain accurate and up-to-date financial data, ensuring compliance with internal policies and regulatory requirements as well as overseeing and providing guidance to junior staff members in the finance department.

Minimum Qualifications:

• Matric/ Grade 12
• Bachelor’s degree in finance, Accounting, Business Administration, or related field
• Minimum of 3-5 years’ experience in finance, accounting, or data management roles
• Previous debtors/creditors management experience is beneficial with preferred exposure to the retail industry
• Proficiency in financial software and systems, such as ERP systems (e.g., SAP, NetSuite, Oracle, Dynamic 365 ), Microsoft Excel, and database management tools

Responsibilities:

• Data Management:
• Maintain accurate financial records, including accounts receivable, payable, and general ledger entries
• Ensure timely and accurate processing of financial transactions, including invoices, payments, and journal entries
• Regularly reconcile financial data to identify discrepancies and resolve issues promptly
• Develop and implement standardized processes for data entry, validation, and documentation
• Master Data Maintenance:
• Update and maintain master data records, including vendor and customer information, pricing structures, and payment terms
• Conduct regular audits of master data files to ensure completeness, accuracy, and consistency
• Collaborate with stakeholders to address any discrepancies or issues related to master data
• Reporting and Analysis:
• Analyse financial data to identify trends, variances, and opportunities for improvement
• Provide insights and recommendations to management based on financial analysis and performance metrics
• Process Improvement:
• Identify areas for process improvement and efficiency gains in financial data management
• Implement best practices and procedures to enhance data quality, accuracy, and reliability
• Collaborate with cross-functional teams to develop and implement system enhancements or automation initiatives
• Compliance and Risk Management:
• Ensure compliance with internal policies, accounting standards, and regulatory requirements
• Proactively identify and mitigate risks related to financial data integrity and accuracy
• Stay informed about changes in regulations and industry standards impacting financial reporting and data management
• Staff Management:
• Provide guidance and support to junior staff members in the finance department
• Delegate tasks effectively, ensuring timely completion and adherence to quality standards
• Facilitate training and development opportunities to enhance the skills and knowledge of staff

Key Skills and Competencies:

• Good understanding of financial principles and accounting practices
• Excellent analytical and problem-solving skills, with a keen attention to detail
• Effective communication and interpersonal skills, with the ability to collaborate across departments and levels of the organization
• Proven ability to work independently, prioritize tasks, and meet deadlines in a fast-paced environment
• Proven ability to manage and motivate a team
• Excellent organisational skills

Job Overview

Manage and support team of Data Management professionals to efficiently produce databases that meet customer requirements.

Essential Functions

• Manage a team of professional Data Management staff. Size of team could vary from 5+ upwards -15, depending on the Data Management Function. Define and prioritize resource requirements and manage resource assignments across projects. Directly responsible for utilization of staff. Assess and document competency of staff to satisfy position responsibilities. Regularly set goals and evaluates and documents performance. Propose salaries, promotion and termination actions. Actively contribute to recruitment of new staff. Implementation of department/office objectives. Provide expert review and guidance for production of Data Management deliverables including CRF/e-CRF, database design and set-up, validation definition and programming, Data Management Plan and database deliverables to internal and external customers. Provide technical advice and solutions with internal and external customers to solve problems and improve efficiency. Participate in the development and implementation of new processes and technology. Ensure that staff is trained and compliant with current operating procedures and work instructions and project scope of work. Identify and address professional development/training needs of staff. Mentor staff members to develop Data Management process, system, and drug development expertise. Provide operational input into proposals and scope of work. Participate in proposal defenses. Attend customer meetings and lead discussions of project requirements and strategic planning. Understand scope of work, budget, and scope assumptions. Identify out-of-scope work and provide revised costs with supporting documentation. Ensure project milestones are met according to agreed upon timelines. Actively manage quality throughout project. May be Project Manager/Project Lead for a major study or a series/group of studies. Manage staff in accordance with organization’s policies and applicable regulations. Responsibilities include planning, assigning, and directing work
• appraising performance and guiding professional development
• rewarding and disciplining employees
• addressing employee relations issues and resolving problems. Approve actions on human resources matters.

Qualifications

• Bachelor's Degree Clinical, biological or mathematical sciences or related field, or nursing qualification Req
• 7 years of relevant work experience including people management. Equivalent combination of education, training and experience.
• Advanced knowledge of Data Management processes and systems. Solid understanding of clinical drug development process. Excellent written and oral communication skills. Proven leadership skills. Excellent organizational skills and demonstrated ability to manage projects. Effective problem-solving skills. Ability to establish and maintain effective working relationships with coworkers, managers and clients. Advanced knowledge of Data Management processes and systems. Solid understanding of clinical drug development process. Excellent written and oral communication skills. Proven leadership skills. Excellent organizational skills and demonstrated ability to manage projects. Effective problem-solving skills. Ability to establish and maintain effective working relationships with coworkers, managers and clients.

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IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide . Learn more at

Job title : Data Governance & Data Management Lead

Job Location : Western Cape, Cape Town Deadline : August 08, 2025 Quick Recommended Links

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Your day to day

• Deploy and Maintain Data Governance Processes : Implement data governance policies, processes, and standards to ensure data integrity and quality across the organization.
• Collaboration and Cooperation : Work closely with data owners and collaborators to ensure alignment to data quality, confidentiality, and global standards.
• Lead Initiatives : Head local data governance initiatives and projects, aligning them with business objectives and company policies.
• Monitor and Enforce Policies : Conduct data quality assessments and audits to maintain high standards of data reliability and quality.
• Identify and Solve Issues : Develop and implement solutions to improve data reliability and quality using technologies such as Snowflake, Atlan, and LeanIX.
• Integration and Support : Work closely with Data Engineers, Data Scientists, and other collaborators to integrate data governance policies into data pipelines and models.
• Report Metrics : Deliver reports to senior management on data governance metrics and key performance indicators.
• Training and Support : Deliver training and support to staff on standard methodologies for data governance.

What we are looking for

• Educational Background : B.Sc. in Computer Science, Information Management, or a related field.
• Minimum 2 years of experience in role with the core focus on data governance or a similar role.
• 6-8 years of data analytics / management experience required
• Collaboration Skills : Proven capability to work cross-functionally with business, analytics, and IT collaborators to address challenges and coordinate data governance initiatives.
• Certification : Certification in data governance or data management (e.g., DAMA, CDMP).
• Technical Proficiency : Experience with data management tools and technologies such as Atlan and LeanIX.
• AI and Machine Learning : Familiarity with the application of machine learning and AI in data governance.
• Applicants must have legal authorisation to work in the relevant countries without need for visa sponsorhip
• Data Governance Principles : Solid understanding of data governance principles (DAMA-DMBOK, ISO / IEC 38500, NIST AI RMF, NIST RDaaF, etc.).
• Experience in Solutions Implementation : Hands-on experience in implementing solutions to improve data quality.
• Proficiency in data quality management and data auditing.
• Solid experience with data visualization tools to supervise and report on data governance metrics.
• Superb communication and collaborator management skills.
• Leadership : Ability to lead and manage data governance projects.
• Regulatory Knowledge : Knowledge of data privacy regulations and compliance requirements.
• Analytical Skills : Strong analytical and problem-solving skills.