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ICT & Digital Skills

Data Stewardship for Non-Technical Professionals Training

Data Stewardship for Non-Technical Professionals Training equips business professionals with the knowledge, frameworks, and practical skills to manage, protect, and leverage organisational data responsibly — without requiring a technical background. Participants learn how to uphold data quality, comply with data governance policies, and champion a data-driven culture within their teams. This course bridges the gap between technical data management and everyday business decision-making.

⏱ 5 Days 📡 In-Person 🎯 Intermediate From KES 80,000

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

Learning Objectives

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

Organisational Benefits

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

LocationFormatDatesPrice
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.

View Live Schedule & Book →