Data governance programmes have a poor reputation. Many begin with a policy document and a committee, then fade because they never connect to business problems or give people practical tools. At the same time, demands are growing: regulators want accountability for personal data, analytics teams need reliable inputs, and artificial intelligence raises fresh questions about provenance, bias and consent.

This advanced programme treats governance as a strategic capability that must earn its place. It starts with value and risk: which decisions, processes and compliance duties depend on trusted data, and what the current state costs. Participants then design a target operating model with ownership, stewardship and escalation, define quality dimensions and measurement, and plan the supporting architecture for metadata, lineage and master data. A distinct strand looks at innovation, including automation of classification and quality checks, self-service data products, and governance fit for machine learning and generative tools.

Sessions are working clinics. Participants analyse sample maturity assessments and data incidents, and prepare a strategy outline, a stewardship charter and a staged roadmap with measures of success.

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

• Link data governance strategy to organisational objectives, risks and compliance duties.
• Assess data governance maturity and prioritise improvement areas.
• Design governance operating models with councils, owners, stewards and escalation routes.
• Define data quality dimensions, rules, thresholds and scorecards.
• Plan master data, reference data and metadata management approaches.
• Evaluate innovations such as catalogues, lineage tools, automation and data products.
• Extend governance to cover privacy, security classification and AI use of data.

The programme suits senior people who set direction for data, or who depend on it, including:

• Chief data officers and heads of data and analytics
• Data governance and information management leads
• Data stewards and data owners in business units
• Risk, compliance and data protection officers
• Business intelligence and data warehouse managers
• Enterprise architects and ICT directors
• Statistics office and public sector reform leaders
• Banking, telecom and insurance data managers

Participants complete the programme with:

• A strategy-on-a-page linking governance to business outcomes.
• A draft operating model with named roles and decision rights.
• A stewardship charter and onboarding guide for new stewards.
• A data quality scorecard design with sample rules and thresholds.
• A shortlist of innovation pilots with success criteria.
• A staged roadmap showing quick wins and longer investments.

The course works as a series of strategy clinics rather than a lecture programme. It features:

• Facilitated analysis of anonymised governance failures and recoveries
• Hands-on profiling exercises with sample datasets
• Design workshops for operating models and stewardship roles
• Tool demonstrations of catalogue and quality monitoring approaches
• Peer review of each participant's roadmap

On completing the sessions and strategy exercises, each participant receives a CPD-accredited Certificate of Completion from Vision Reach Global Consultancy.