Every organisation is a data organisation, whether or not it describes itself that way. Strategy, regulatory returns, customer service and artificial intelligence initiatives all depend on information that is complete, consistent and understood. When data is fragmented across systems and departments, executives debate whose numbers are right instead of making decisions, and compliance obligations around privacy and records are met only by effort and luck.

This programme explains what effective data governance looks like from the leadership seat. Participants first define the purpose and scope of governance and connect it to business outcomes and risk appetite. They then explore decision rights and operating models, including the roles of the sponsor, owner, steward and custodian, and the policies, standards and forums that support them. Quality receives particular attention: dimensions such as accuracy, completeness, timeliness and validity; profiling and measurement; root-cause analysis; and issue management. Further sessions cover metadata, data catalogues, master data, data sharing, privacy and security alignment, and the preparation of data for analytics and AI.

Learning is by case discussion, scorecard design and facilitated workshops. Each executive leaves with a draft governance charter, a short list of critical data elements with owners, and a reporting pack for the board.

By the end of the programme, participants will be able to:

• Articulate the business case and scope for data governance in their organisation.
• Define an operating model with clear ownership, stewardship and decision rights.
• Prioritise critical data elements and domains for governance attention.
• Specify data quality dimensions, targets and measurement approaches.
• Establish policies, standards and escalation routes for resolving data issues.
• Align governance with privacy, security and records obligations.
• Report data quality, risk and value to boards and regulators using concise indicators.

The programme is intended for leaders accountable for the use and protection of organisational data, including:

• Chief executives, directors and general managers
• Chief data officers, chief information officers and heads of analytics
• Heads of risk, compliance and data protection
• Internal audit leaders
• Business unit heads who own key datasets
• Senior statisticians and research directors
• Programme directors in government agencies and development organisations
• Heads of digital transformation and enterprise systems

Executives complete the programme with:

• A draft data governance charter with purpose, scope and principles.
• A roles and decision rights matrix naming owners and stewards.
• A prioritised list of critical data elements.
• A data quality scorecard with targets and thresholds.
• A board reporting pack outline showing risk, quality and benefits.
• A phased roadmap for building governance maturity.

Pitched at executive level, delivery avoids technical detail and focuses on decisions and accountability. It uses:

• Facilitated briefings on governance models and good practice
• Case discussions of data failures in finance, public services and telecoms
• Workshops to draft charters, role matrices and scorecards
• Peer review of each participant's governance priorities
• Reflection sessions linking learning to current organisational initiatives

Attendance and active completion of the workshop exercises qualify delegates for a CPD-accredited Certificate of Completion, awarded by Vision Reach Global Consultancy.