Data Governance · Architecture · Analytics/AI

Data governance that works in practice.

I help organizations measurably improve data quality, transparency and control — from governance to data architecture.

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Best practicePractical experience in regulated environments — adapt proven approaches to your organization.
From concept to deliveryArchitecture, models, processes and enablement — pragmatic, end-to-end.
Substance over slidesStandards and templates teams actually use.

What I stand for

Clear governance, traceable data, robust architecture.

Turn regulation into actionable controls

Translate requirements into data needs, accountability and measurable controls — auditable and clear.

Data architectures that actually hold up

Target pictures and clean models — so delivery doesn’t end in chaos.

Analytics & AI with governance

Quality, lineage, metrics and processes as the foundation for reliable automation.

Typical outcomes

What you will have in your hands after a few weeks.

Data Governance blueprint

Roles, committees, policies, KPI/OKR and artifacts — tailored to your organization.

Metadata & lineage design

Metadata model, data-product interfaces and mapping logic — the basis for transparency and data quality.

Roadmap with quick wins

Prioritized initiatives, effort/benefit and dependencies — including pragmatic starter packages.