Background

CDL was founded in early 2003 by its current Managing Director Lucy Mmari.Within her 14 year tenure in a well established logistics company, She honed her skill in human resources management and thereafter started CDL.

Role Overview

We are seeking a highly experienced Senior Data & Information Governance Specialist to support an international organisation in strengthening and operationalising its enterprise Data and Information Governance capability.

The ideal candidate will have strong experience across Data and Information Governance, information protection, data quality, records and content governance, data classification and retention, data ownership/stewardship, and change management. Experience operationalising governance frameworks across both structured data and unstructured information is particularly important.

The role will also require a practical understanding of how AI can support Data and Information Governance, including classification, metadata enrichment, information discovery, quality monitoring, risk identification and workflow automation.

Key Responsibilities

• Implement and operationalise Data and Information Governance frameworks, policies and processes.
• Support governance forums, working groups, reporting and action tracking.
• Translate governance requirements into practical roles, processes, SOPs and RACI frameworks.
• Define and operationalise data ownership, information ownership and stewardship.
• Strengthen data quality, metadata, data catalogue, classification, retention, access and information protection practices.
• Extend governance across unstructured information, including documents, records, emails, collaboration platforms and knowledge assets.
• Work with Legal, Information Security, IT and business teams to ensure effective governance and information protection.
• Drive change management, adoption, training and awareness across technical and non-technical teams.
• Prepare executive presentations, governance reports and stakeholder communications.
• Identify practical AI-enabled governance opportunities, including automated classification, metadata enrichment, information discovery, quality monitoring, risk identification and workflow automation.
• Ensure appropriate human oversight, accountability and responsible AI use in governance activities.
• Identify blockers, recommend pragmatic solutions and independently drive initiatives through to completion.

Requirements

Candidate Requirements

Experience & Technical Competencies

• Senior-level experience designing, implementing and operationalising enterprise Data and Information Governance frameworks.
• Strong experience in Data Governance and Information Governance, covering both structured and unstructured information.
• Practical experience in information protection, data classification, retention, access and data/information sharing.
• Strong understanding of data quality, metadata, data catalogues, ownership and stewardship.
• Experience with records and content governance, including documents, emails and collaboration platforms.
• Practical understanding of AI applications in Data and Information Governance.
• Proven change management and governance adoption experience within complex organisations.
• Experience developing governance policies, SOPs, RACI matrices, lifecycle processes and operating models.
• Strong stakeholder management skills, with the ability to engage senior, technical and non-technical stakeholders.
• Excellent written, verbal and presentation skills, including strong Microsoft PowerPoint capability.

• Implement and operationalise Data and Information Governance frameworks, policies and processes.
• Support governance forums, working groups, reporting and action tracking.
• Translate governance requirements into practical roles, processes, SOPs and RACI frameworks.
• Define and operationalise data ownership, information ownership and stewardship.
• Strengthen data quality, metadata, data catalogue, classification, retention, access and information protection practices.
• Extend governance across unstructured information, including documents, records, emails, collaboration platforms and knowledge assets.
• Work with Legal, Information Security, IT and business teams to ensure effective governance and information protection.
• Drive change management, adoption, training and awareness across technical and non-technical teams.
• Prepare executive presentations, governance reports and stakeholder communications.
• Identify practical AI-enabled governance opportunities, including automated classification, metadata enrichment, information discovery, quality monitoring, risk identification and workflow automation.
• Ensure appropriate human oversight, accountability and responsible AI use in governance activities.
• Identify blockers, recommend pragmatic solutions and independently drive initiatives through to completion.

• Data Governance
• Information Governance
• Information Protection
• Data Quality
• Records and Content Governance
• Data Classification
• Data Retention
• Data Ownership/Stewardship
• Change Management
• AI applications in Data and Information Governance
• Stakeholder Management
• Microsoft PowerPoint

• BA/BSc/HND
• Senior-level experience designing, implementing and operationalising enterprise Data and Information Governance frameworks.
• Strong experience in Data Governance and Information Governance, covering both structured and unstructured information.
• Practical experience in information protection, data classification, retention, access and data/information sharing.
• Strong understanding of data quality, metadata, data catalogues, ownership and stewardship.
• Experience with records and content governance, including documents, emails and collaboration platforms.
• Practical understanding of AI applications in Data and Information Governance.
• Proven change management and governance adoption experience within complex organisations.
• Experience developing governance policies, SOPs, RACI matrices, lifecycle processes and operating models.
• Strong stakeholder management skills, with the ability to engage senior, technical and non-technical stakeholders.
• Excellent written, verbal and presentation skills, including strong Microsoft PowerPoint capability.