50 Healthcare Data 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.

Join to apply for the Data Management Practice Lead role at NTT DATA, Inc.

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Join to apply for the Data Management Practice Lead role at NTT DATA, Inc.

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Make an impact with NTT DATA

Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

Make an impact with NTT DATA

Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

The Practice Lead for Data Management is responsible for leading the strategic design and operational execution of enterprise data management initiatives. This includes overseeing the development of the data catalog, implementing data quality frameworks, managing role-based security access, designing the data marketplace, and supporting the architecture of the overall data analytics solution

Key Responsibilities:

Data Catalog Development

• Lead the implementation and continuous improvement of the enterprise data catalog.
• Ensure metadata is accurately captured, maintained, and accessible to stakeholders.
  
  

• Define and implement data quality metrics and reporting frameworks.
• Oversee the creation of automated data quality reports and dashboards.
• Collaborate with data stewards and owners to resolve data quality issues.
  
  

• Design and enforce role-based access control (RBAC) policies across data platforms.
• Ensure compliance with data privacy and security regulations (e.g., POPIA, GDPR).
  
  

• Lead the design and rollout of a self-service data marketplace.
• Ensure data assets are discoverable, well-documented, and governed.
• Analytics Solution Design Support
• Collaborate with data architects and engineers to support the design of scalable, secure, and high-performing analytics solutions.
• Ensure alignment between data management practices and analytics architecture.
  
  

• Define and promote data management best practices across the organization.
• Mentor team members and foster a culture of data literacy and accountability.
• Participate in data governance councils and strategic planning initiatives.
  
  

• Excellent understanding of data modelling, statistical methods and machine learning techniques.
• Excellent ability to thrive in a dynamic, fast-paced environment.
• Strong quantitative and qualitative analysis skills.
• Strong desire to acquire more knowledge to keep up to speed with the ever-evolving field of data science.
• Strong curiosity to sift through data to find answers and more insights.
• Excellent understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face.
• Excellent ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making.
• Excellent ability to create a storyline around the data to make it easy to interpret and understand.
• Self-driven and able to work independently yet acts as a team player.
• Excellent ability to apply data science principles through a business lens.
• Strong desire to create strategies and solutions that challenge and expand the thinking of peers and senior leadership teams.
• Excellent ability to think strategically about how to use data to drive competitive advantages.
• Excellent management and leadership skills.
  
  

• Bachelor’s degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field.
• Agile certification preferred.
• Certifications in data management or governance (e.g., CDMP, DAMA).
• Experience with modern data platforms (e.g., Snowflake, Databricks).
• Familiarity with BI and analytics tools (e.g., Power BI, Tableau).
  
  

• Bachelor’s or Master’s degree in Information Systems, Computer Science, or related field.
• 7+ years of experience in data management, data governance, or enterprise data architecture.
• Proven experience with:
• Data catalog tools (e.g., Collibra, Alation, Microsoft Purview)
• Data quality tools (e.g., Informatica, Talend, Great Expectations)
• RBAC and data security frameworks
• Cloud platforms (Azure, AWS, or GCP)
• Data marketplace concepts and tools
• Strong understanding of data governance, metadata management, and regulatory compliance.
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at NTT DATA, Inc. by 2x

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Join to apply for the Data Management Practice Lead role at NTT DATA, Inc.

1 day ago Be among the first 25 applicants

Join to apply for the Data Management Practice Lead role at NTT DATA, Inc.

Make an impact with NTT DATA

Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

Make an impact with NTT DATA

Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

The Practice Lead for Data Management is responsible for leading the strategic design and operational execution of enterprise data management initiatives. This includes overseeing the development of the data catalog, implementing data quality frameworks, managing role-based security access, designing the data marketplace, and supporting the architecture of the overall data analytics solution

Key Responsibilities:

Data Catalog Development

• Lead the implementation and continuous improvement of the enterprise data catalog.
• Ensure metadata is accurately captured, maintained, and accessible to stakeholders.
  
  

• Define and implement data quality metrics and reporting frameworks.
• Oversee the creation of automated data quality reports and dashboards.
• Collaborate with data stewards and owners to resolve data quality issues.
  
  

• Design and enforce role-based access control (RBAC) policies across data platforms.
• Ensure compliance with data privacy and security regulations (e.g., POPIA, GDPR).
  
  

• Lead the design and rollout of a self-service data marketplace.
• Ensure data assets are discoverable, well-documented, and governed.
• Analytics Solution Design Support
• Collaborate with data architects and engineers to support the design of scalable, secure, and high-performing analytics solutions.
• Ensure alignment between data management practices and analytics architecture.
  
  

• Define and promote data management best practices across the organization.
• Mentor team members and foster a culture of data literacy and accountability.
• Participate in data governance councils and strategic planning initiatives.
  
  

• Excellent understanding of data modelling, statistical methods and machine learning techniques.
• Excellent ability to thrive in a dynamic, fast-paced environment.
• Strong quantitative and qualitative analysis skills.
• Strong desire to acquire more knowledge to keep up to speed with the ever-evolving field of data science.
• Strong curiosity to sift through data to find answers and more insights.
• Excellent understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face.
• Excellent ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making.
• Excellent ability to create a storyline around the data to make it easy to interpret and understand.
• Self-driven and able to work independently yet acts as a team player.
• Excellent ability to apply data science principles through a business lens.
• Strong desire to create strategies and solutions that challenge and expand the thinking of peers and senior leadership teams.
• Excellent ability to think strategically about how to use data to drive competitive advantages.
• Excellent management and leadership skills.
  
  

• Bachelor’s degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field.
• Agile certification preferred.
• Certifications in data management or governance (e.g., CDMP, DAMA).
• Experience with modern data platforms (e.g., Snowflake, Databricks).
• Familiarity with BI and analytics tools (e.g., Power BI, Tableau).
  
  

• Bachelor’s or Master’s degree in Information Systems, Computer Science, or related field.
• 7+ years of experience in data management, data governance, or enterprise data architecture.
• Proven experience with:
• Data catalog tools (e.g., Collibra, Alation, Microsoft Purview)
• Data quality tools (e.g., Informatica, Talend, Great Expectations)
• RBAC and data security frameworks
• Cloud platforms (Azure, AWS, or GCP)
• Data marketplace concepts and tools
• Strong understanding of data governance, metadata management, and regulatory compliance.
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at NTT DATA, Inc. by 2x

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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

Key Responsibilities:

Data Catalog Development

• Lead the implementation and continuous improvement of the enterprise data catalog.

• Ensure metadata is accurately captured, maintained, and accessible to stakeholders.

Data Quality Management

• Define and implement data quality metrics and reporting frameworks.

• Oversee the creation of automated data quality reports and dashboards.

• Collaborate with data stewards and owners to resolve data quality issues.

Role-Based Security Access

• Design and enforce role-based access control (RBAC) policies across data platforms.

• Ensure compliance with data privacy and security regulations (e.g., POPIA, GDPR).

Data Marketplace Design

• Lead the design and rollout of a self-service data marketplace.

• Ensure data assets are discoverable, well-documented, and governed.

• Analytics Solution Design Support

• Collaborate with data architects and engineers to support the design of scalable, secure, and high-performing analytics solutions.

• Ensure alignment between data management practices and analytics architecture.

Leadership & Governance

• Define and promote data management best practices across the organization.

• Mentor team members and foster a culture of data literacy and accountability.

• Participate in data governance councils and strategic planning initiatives.

Knowledge and Attributes:

• Excellent understanding of data modelling, statistical methods and machine learning techniques.
• Excellent ability to thrive in a dynamic, fast-paced environment.
• Strong quantitative and qualitative analysis skills.
• Strong desire to acquire more knowledge to keep up to speed with the ever-evolving field of data science.
• Strong curiosity to sift through data to find answers and more insights.
• Excellent understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face.
• Excellent ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making.
• Excellent ability to create a storyline around the data to make it easy to interpret and understand.
• Self-driven and able to work independently yet acts as a team player.
• Excellent ability to apply data science principles through a business lens.
• Strong desire to create strategies and solutions that challenge and expand the thinking of peers and senior leadership teams.
• Excellent ability to think strategically about how to use data to drive competitive advantages.
• Excellent management and leadership skills.

Academic Qualifications and Certifications:

• Bachelor’s degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field.
• Agile certification preferred.
• Certifications in data management or governance (e.g., CDMP, DAMA).
• Experience with modern data platforms (e.g., Snowflake, Databricks).
• Familiarity with BI and analytics tools (e.g., Power BI, Tableau).

Required experience:

• Bachelor’s or Master’s degree in Information Systems, Computer Science, or related field.
• 7+ years of experience in data management, data governance, or enterprise data architecture.
• Proven experience with:
  • Data catalog tools (e.g., Collibra, Alation, Microsoft Purview)
  • Data quality tools (e.g., Informatica, Talend, Great Expectations)
  • RBAC and data security frameworks
  • Cloud platforms (Azure, AWS, or GCP)
  • Data marketplace concepts and tools
• Strong understanding of data governance, metadata management, and regulatory compliance.

Workplace type:

About NTT DATA
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.

Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

Key Responsibilities:

Data Catalog Development

• Lead the implementation and continuous improvement of the enterprise data catalog.

• Ensure metadata is accurately captured, maintained, and accessible to stakeholders.

Data Quality Management

• Define and implement data quality metrics and reporting frameworks.

• Oversee the creation of automated data quality reports and dashboards.

• Collaborate with data stewards and owners to resolve data quality issues.

Role-Based Security Access

• Design and enforce role-based access control (RBAC) policies across data platforms.

• Ensure compliance with data privacy and security regulations (e.g., POPIA, GDPR).

Data Marketplace Design

• Lead the design and rollout of a self-service data marketplace.

• Ensure data assets are discoverable, well-documented, and governed.

• Analytics Solution Design Support

• Collaborate with data architects and engineers to support the design of scalable, secure, and high-performing analytics solutions.

• Ensure alignment between data management practices and analytics architecture.

Leadership & Governance

• Define and promote data management best practices across the organization.

• Mentor team members and foster a culture of data literacy and accountability.

• Participate in data governance councils and strategic planning initiatives.

Knowledge and Attributes:

• Excellent understanding of data modelling, statistical methods and machine learning techniques.
• Excellent ability to thrive in a dynamic, fast-paced environment.
• Strong quantitative and qualitative analysis skills.
• Strong desire to acquire more knowledge to keep up to speed with the ever-evolving field of data science.
• Strong curiosity to sift through data to find answers and more insights.
• Excellent understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face.
• Excellent ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making.
• Excellent ability to create a storyline around the data to make it easy to interpret and understand.
• Self-driven and able to work independently yet acts as a team player.
• Excellent ability to apply data science principles through a business lens.
• Strong desire to create strategies and solutions that challenge and expand the thinking of peers and senior leadership teams.
• Excellent ability to think strategically about how to use data to drive competitive advantages.
• Excellent management and leadership skills.

Academic Qualifications and Certifications:

• Bachelor’s degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field.
• Agile certification preferred.
• Certifications in data management or governance (e.g., CDMP, DAMA).
• Experience with modern data platforms (e.g., Snowflake, Databricks).
• Familiarity with BI and analytics tools (e.g., Power BI, Tableau).

Required experience:

• Bachelor’s or Master’s degree in Information Systems, Computer Science, or related field.
• 7+ years of experience in data management, data governance, or enterprise data architecture.
• Proven experience with:
  • Data catalog tools (e.g., Collibra, Alation, Microsoft Purview)
  • Data quality tools (e.g., Informatica, Talend, Great Expectations)
  • RBAC and data security frameworks
  • Cloud platforms (Azure, AWS, or GCP)
  • Data marketplace concepts and tools
• Strong understanding of data governance, metadata management, and regulatory compliance.

Workplace type:

About NTT DATA
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.

Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

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

• Lead Data & Analytics Strategy - Drive the companys data agenda, ensuring governance, compliance, and a culture of data-driven decision-making.
• Own Data Management - Standardise processes, maintain data quality, and manage enterprise-wide data catalogues.
• Deliver Analytics Impact - Embed trusted insights across Finance, Risk, HR, Compliance, and Actuarial.
• Ensure Compliance & Technology Alignment - Partner with IT, strengthen governance, and oversee secure and scalable data solutions.
• Inspire & Lead Teams - Build and guide a high-performing data team focused on collaboration and continuous improvement.

• Bachelors in Data/Stats/Actuarial/Maths/Comp Sci (Masters is a plus).
• 8+ years in data/analytics/tech roles (insurance, banking, and telecoms).
• 3+ years leadership, and bridging business & tech.
• Skilled in Azure Synapse, SQL, metadata, and MDM.
• Proven track record in enterprise analytics and governance.
• Strong knowledge of South African data compliance.

• Strategic Data Leadership:
  • Lead the execution of the enterprise data & analytics strategy, aligned to business priorities.
  • Champion data governance, quality, and compliance, ensuring regulatory alignment.
  • Drive a culture of data-led decision-making across the organisation.
• Data Management & Architecture:
  • Standardise and enforce data input formats, ingestion processes, and cross-unit KPIs.
  • Maintain an enterprise-wide data catalog with transparency on lineage and ownership.
  • Monitor and drive improvements in data quality, consistency, and compliance.
• Analytics Use Case Delivery:
  • Lead and operationalise analytics use cases across Finance, Risk, HR, Compliance, and Actuarial.
  • Embed trusted datasets into daily decision-making processes.
  • Guide analytics teams to align with central governance and standards.
• Governance & Compliance:
  • Define and enforce enterprise-wide data definitions, retention, and lifecycle management.
  • Enhance metadata, lineage, and quality frameworks.
  • Serve as executive sponsor for data privacy and ethical data use.
• Technology & IT Partnership:
  • Collaborate with IT leadership to deliver scalable, secure data pipelines and infrastructure.
  • Influence investment decisions to align with long-term data strategy.
  • Ensure toolsets and architecture support enterprise-wide analytics execution.
• People Leadership:
  • Build, coach, and lead a high-performing data operations team.
  • Foster accountability, collaboration, and continuous improvement.
  • Manage talent, succession, and capacity within the function.

• Bachelors Degree in Data Science, Statistics, Actuarial Science, Mathematics, Computer Science or a related field (Masters preferred).
• 8+ years experience in data, analytics, or technology roles within insurance, banking, or telecoms.
• 3+ years leadership experience , bridging business and technology.
• Proven expertise in Azure Synapse, SQL, metadata management, and MDM platforms .
• Strong record in delivering enterprise analytics use cases and governance frameworks.
• Deep knowledge of South African data governance and compliance requirements.

• A visionary strategist who anticipates trends and develops long-term solutions.
• Insightful and decisive, with a passion for improving processes and unlocking value.
• An ethical leader who inspires trust, accountability, and collaboration.
• A confident communicator, able to influence at executive and industry level.