About This Course
In today's data-driven economy, every professional — regardless of their technical background — plays a critical role in how organisational data is collected, handled, shared, and protected. Data stewardship is no longer the sole responsibility of IT departments or data engineers; it is a shared accountability that spans finance, human resources, procurement, communications, and every other business function. When data is poorly managed, the consequences range from costly compliance failures and reputational damage to flawed decisions and lost competitive advantage.
The Data Stewardship for Non-Technical Professionals Training programme from TrainingComplex is designed specifically for business professionals who work with data daily but may lack a formal technology background. The course demystifies data governance concepts, translates technical language into practical business terms, and provides participants with tools and frameworks they can apply immediately in their roles. Participants will develop a clear understanding of their responsibilities as data stewards and learn how to enforce data standards, maintain data quality, handle sensitive information appropriately, and support their organisation's broader data strategy.
Built around real-world scenarios drawn from African and global business environments, this five-day programme combines conceptual learning with hands-on exercises, group discussions, and case studies. Whether you work in the public sector, a multinational organisation, or a growing enterprise, this course will give you the confidence and competence to be an effective, responsible steward of your organisation's most valuable asset — its data.
Who Should Attend
- Department heads and team leaders who oversee data-generating business processes
- Administrative and operations professionals who collect, enter, or manage records
- Human resources professionals handling employee and payroll data
- Finance and accounting staff managing financial records and reporting data
- Procurement and supply chain officers dealing with vendor and contract data
- Monitoring and evaluation staff responsible for programme data quality
- Compliance and legal officers overseeing data-related regulatory obligations
- Project managers and coordinators who rely on data for reporting and decision-making
- Public sector officers managing citizen or beneficiary data
- Anyone in a non-technical role who handles organisational data and wants to do so more effectively and responsibly
Learning Objectives
- Explain the core concepts of data stewardship, data governance, and data management and their relevance to non-technical roles
- Identify the different types of organisational data and understand who is responsible for each category
- Apply data quality principles — accuracy, completeness, consistency, timeliness, and validity — to everyday work practices
- Implement basic data classification and handling procedures that align with organisational and regulatory requirements
- Recognise common data risks including breaches, misuse, duplication, and poor record-keeping, and take appropriate preventive action
- Navigate key data protection and privacy regulations relevant to their operating context, including GDPR principles and regional data laws
- Support the development and enforcement of data policies, standards, and procedures within their teams
- Use data governance frameworks to understand roles such as data owner, data steward, and data custodian
- Demonstrate responsible data sharing practices — internally and with external stakeholders
- Contribute meaningfully to their organisation's data culture, strategy, and continuous data improvement efforts
Course Modules
Module 1: Introduction to Data Stewardship and Data Governance
- What is data stewardship and why it matters for non-technical professionals
- The data governance ecosystem: key concepts, components, and terminology
- Difference between data governance, data management, and data stewardship
- The business case for good data stewardship: risks, costs, and opportunities
- How data stewardship fits into broader organisational strategy
- Overview of the data stewardship roles: data owner, steward, custodian, and consumer
Module 2: Understanding Organisational Data: Types, Sources, and Flows
- Categories of organisational data: structured, unstructured, master, transactional, and reference data
- Where data originates: internal systems, external sources, and human input
- Mapping data flows within and across departments
- Data lifecycles: creation, storage, use, sharing, archiving, and deletion
- Common data assets in non-technical business functions
- Identifying which data your role generates, touches, or depends on
Module 3: Data Quality: Principles and Practical Standards
- The five dimensions of data quality: accuracy, completeness, consistency, timeliness, and validity
- The real-world impact of poor data quality on business outcomes
- How to spot data quality issues in everyday work
- Data quality rules and how they are defined and enforced
- Tools and methods non-technical staff can use to monitor data quality
- Building a culture of data quality ownership within a team
Module 4: Data Classification and Handling Procedures
- What data classification means and why it is essential for data protection
- Common classification levels: public, internal, confidential, and restricted
- How to apply classification labels to documents, records, and files
- Handling procedures for each classification level
- Data minimisation: collecting only what is needed for a specific purpose
- Practical exercises in classifying sample datasets and documents
Module 5: Data Protection, Privacy, and Legal Compliance
- Overview of major data protection frameworks: GDPR, AU Data Policy Framework, and national regulations
- Core privacy principles: lawfulness, fairness, transparency, purpose limitation, and data subject rights
- Personally identifiable information (PII): what it is, where it lives, and how to protect it
- Consent management: when and how to obtain, record, and respect data consent
- The role of the non-technical professional in ensuring compliance
- Responding to data subject access requests and privacy-related queries
Module 6: Data Risks, Breaches, and Incident Response
- Common data risks in business environments: breaches, leaks, loss, misuse, and unauthorised access
- Human error as a leading cause of data incidents and how to reduce it
- Recognising the warning signs of a potential data breach or compromise
- Steps to take when a data incident occurs: reporting, containment, and notification
- Organisational data breach response plans and the steward's role within them
- Learning from data incidents: root cause analysis and corrective action
Module 7: Data Governance Frameworks and Policies
- Overview of widely used data governance frameworks: DAMA-DMBOK, COBIT, and DCAM
- How data governance policies are structured and what they contain
- The data steward's role in upholding and communicating governance policies
- Conducting a gap analysis between current practices and governance standards
- Developing and documenting data handling procedures at the team level
- Escalation paths: when to refer data issues to governance committees or IT
Module 8: Responsible Data Sharing and Collaboration
- Principles of responsible internal data sharing across departments
- Sharing data with external partners, vendors, and regulators: what is permissible
- Data sharing agreements: purpose, key clauses, and the steward's responsibilities
- Using anonymisation and pseudonymisation to enable safe data sharing
- Avoiding common pitfalls in email, spreadsheet, and cloud-based data sharing
- Building trust with data consumers through transparent sharing practices
Module 9: Records Management and Data Documentation
- The relationship between records management and data stewardship
- Best practices for naming, filing, versioning, and storing organisational records
- Retention schedules: how long to keep data and when to destroy it lawfully
- Maintaining data lineage: knowing where data came from and how it has changed
- Metadata basics: what it is and why it makes data more usable and trustworthy
- Audit readiness: keeping documentation that supports accountability and transparency
Module 10: Building a Data-Driven Culture and Your Data Stewardship Action Plan
- What a mature data culture looks like and how to recognise gaps in your organisation
- The non-technical professional as a data culture champion and change agent
- Communicating the value of good data stewardship to colleagues and leadership
- Common barriers to data stewardship adoption and how to overcome them
- Developing a personal data stewardship commitment plan for your specific role
- Next steps: continuing professional development and data stewardship communities of practice
Requirements & Prerequisites
Participants should have at least one year of professional experience in any business function where they regularly interact with data, records, or reports. No prior knowledge of data science, database management, or programming is required — this course is intentionally designed for non-technical professionals. Basic computer literacy and familiarity with common office tools such as spreadsheets and email are sufficient to participate fully.
Training Methodology
- Contextual case studies drawn from real organisational data failures and successes across African and global business environments, used to ground concepts in recognisable situations
- Role-based scenario exercises where participants act as data stewards for a fictional organisation, making real decisions about data quality, classification, and access
- Group discussion forums structured around participants' own organisational data challenges, enabling peer learning and shared problem-solving
- Data quality audit simulation in which participants review a sample dataset, identify errors and inconsistencies, and apply correction procedures
- Policy review and gap analysis workshop where participants assess a sample data governance policy against best-practice frameworks and recommend improvements
- Interactive quizzes and reflection activities at the end of each module to consolidate learning and check understanding
- Practical templates and checklists — including a data classification matrix, a data handling checklist, and a data stewardship responsibility map — for immediate use back in the workplace
- Facilitated action-planning sessions where each participant drafts a personal data stewardship commitment plan linked to their specific job role
Organisational Benefits
- Improved data quality across business units, leading to more accurate reporting and better-informed decisions
- Reduced risk of data breaches, regulatory penalties, and reputational harm through stronger data handling practices
- Greater compliance with data protection legislation and internal governance policies
- Clearer accountability for data across departments, reducing confusion and duplication of effort
- Stronger cross-functional collaboration around data standards and data management responsibilities
- A workforce that can confidently engage with data governance processes without relying solely on IT teams
- Enhanced organisational readiness for digital transformation initiatives that depend on clean, well-governed data
- Better audit trails and data documentation, supporting transparency and accountability
- Reduced data-related errors and inefficiencies in day-to-day business operations
- A measurable step toward building a mature, data-driven organisational culture
Where Is Data Stewardship for Non-Technical Professionals Training Offered?
This course runs in-person across: Riyadh, Dar es Salaam, Accra, Lagos, Cape Town, Mombasa, Kigali, Kampala, Johannesburg, Naivasha, Nairobi, Abuja, Kisumu, Addis Ababa, Arusha, Nakuru, Dubai, Pretoria, Zanzibar, plus Live Virtual (online) cohorts. Browse live dates for your city below.
Upcoming Schedules
| Location | Format | Dates | Price |
| Live Virtual |
Online |
12 Oct 2026 – 16 Oct 2026 |
KES 80,000 |
| Riyadh, Saudi Arabia |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
USD 4,500 |
| Dar es Salaam, Tanzania |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
USD 2,300 |
| Accra, Ghana |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
USD 3,800 |
| Lagos, Nigeria |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
USD 2,500 |
| Cape Town, South Africa |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
USD 3,800 |
| Mombasa, Kenya |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
KES 120,000 |
| Kigali, Rwanda |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
USD 1,900 |
| Kampala, Uganda |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
USD 1,900 |
| Johannesburg, South Africa |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
USD 3,500 |
| Naivasha, Kenya |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
KES 120,000 |
| Nairobi, Kenya |
In-Person |
2 Nov 2026 – 6 Nov 2026 |
KES 105,000 |
| Accra, Ghana |
In-Person |
2 Nov 2026 – 6 Nov 2026 |
USD 3,800 |
| Abuja, Nigeria |
In-Person |
2 Nov 2026 – 6 Nov 2026 |
USD 2,800 |
| Naivasha, Kenya |
In-Person |
2 Nov 2026 – 6 Nov 2026 |
KES 120,000 |
+227 more dates — view live schedule →
Frequently Asked Questions
Do I need a technical or IT background to attend this course?
No technical background is required. This course is designed specifically for professionals who work with data in business roles but do not have a data science, programming, or IT background. The content is explained in plain business language throughout.
Will I receive a certificate upon completing the course?
Yes. Participants who attend and complete the full five-day programme will receive a Certificate of Completion in Data Stewardship for Non-Technical Professionals, issued by TrainingComplex. This certificate can be included in your professional portfolio or submitted to your employer as evidence of training.
Is this course relevant to professionals working in the public sector?
Absolutely. The course content draws on both private sector and public sector data scenarios, including citizen data management, beneficiary records, and government compliance obligations. Public servants, NGO staff, and development sector professionals will find the content directly applicable to their work.
What materials and tools will participants receive?
Participants will receive a comprehensive course workbook, a data classification matrix template, a data handling checklist, a sample data governance policy for reference, and a personal data stewardship action plan template — all designed for immediate use back in their organisations.
Can this training be delivered in-house for an entire department or organisation?
Yes. TrainingComplex offers customised in-house delivery of this programme for organisations that want to train multiple staff at once. The content can be tailored to reflect your organisation's specific data policies, systems, and regulatory environment. Contact TrainingComplex directly to discuss group bookings and bespoke options.
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