Organisations are discovering that centralised data lakes and warehouses scale poorly once dozens of business domains want trustworthy data on demand. Delivery slows, domain knowledge is lost in translation, and quality problems are discovered only after executives challenge a figure. Data mesh and product thinking respond with decentralised ownership backed by shared standards and platform services.

The ten-day programme starts with the case for change, product management fundamentals and the principles of domain ownership, data as a product, self-serve infrastructure and federated governance. Participants then learn to scope data products, define consumers and value, specify schemas, contracts, service levels and metadata, and manage them through a lifecycle from discovery to retirement. The second week addresses architecture and operations: platform capabilities, interoperability standards, pipeline design, observability, security, cost control, team topologies, funding and incentives, and the transition path from existing estates.

Teaching combines concept sessions, design studios and hands-on labs with sample datasets. Throughout the programme teams develop a mesh blueprint for a case organisation, which is presented and reviewed on the final day. Participants return with templates they can adapt to their own environments.

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

• Explain the limits of centralised data architectures and when a mesh model is justified.
• Identify data domains and define product boundaries aligned to business capabilities.
• Write data product specifications, including schemas, contracts and service level objectives.
• Run product discovery with data consumers and maintain a prioritised roadmap.
• Design the capabilities of a self-serve data platform and its interfaces.
• Establish federated governance with automated policy enforcement.
• Plan organisational roles, funding and migration steps for a mesh transition.
• Measure product adoption, quality, cost and value.

The programme is designed for people who shape data strategy and deliver data capabilities, including:

• Chief data and analytics officers
• Data product owners and managers
• Data platform and data engineering leads
• Enterprise, solution and data architects
• Domain data stewards in finance, operations, customer and risk teams
• Business intelligence managers moving to self-service models
• Digital transformation and technology strategy leads
• Consultants advising on data architecture and operating models

Participants leave with:

• A domain map and product catalogue outline for a chosen organisation.
• A data product canvas and specification template with contract fields.
• A platform capability checklist separating shared services from domain responsibilities.
• A federated governance policy set describing which controls are automated.
• A phased migration roadmap with risks and sequencing logic.
• A set of product metrics covering usage, quality, freshness and cost.

The programme is run as a studio, so participants design as they learn:

• Concept sessions led by practitioners who have run data platform and product teams
• Design studios where teams build a domain map, platform map and governance model
• Hands-on labs with sample data, contracts and pipeline checks
• Peer reviews that mimic architecture board scrutiny
• A closing steering committee simulation with senior-style questioning

After the full 10 days, and on completion of the studio exercises and final presentation, participants receive a CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy.