Build Trust in Your Data With Robust Governance Frameworks
Expert data governance consultant in Switzerland specializing in GDPR compliance, Swiss Data Protection Act (nDSG), data quality frameworks, and enterprise data catalog implementation. I help organizations establish clear data ownership, enforce quality standards, and ensure regulatory compliance across their entire data ecosystem. 8+ years implementing governance programs for Swiss enterprises in banking, pharma, and insurance.
Deep expertise in GDPR, Swiss nDSG, and FINMA regulatory requirements
Proven data quality frameworks that reduce data errors by 80%+
Enterprise data catalog implementation with Collibra, Alation, or open-source tools
Metadata management and automated data lineage across the full stack
Data classification and sensitivity labeling for regulatory compliance
Role-based access control and data privacy by design
Master data management (MDM) strategy and implementation
Executive-friendly governance dashboards and KPI reporting
Based in Switzerland with cross-industry governance experience
Design and implement comprehensive data quality frameworks with automated profiling, validation rules, anomaly detection, and remediation workflows. Establish quality KPIs, SLAs, and dashboards that give your organization continuous visibility into data health across all critical systems.
Ensure full compliance with GDPR, the Swiss nDSG, and sector-specific regulations (FINMA, Swissmedic). Implement data processing inventories, consent management, data subject rights workflows, privacy impact assessments, and breach notification processes with proper documentation and audit trails.
Deploy enterprise data catalogs using Collibra, Alation, DataHub, or open-source alternatives. Enable self-service data discovery with business glossaries, automated metadata harvesting, usage analytics, and social collaboration features that make data findable and understandable for every team.
Implement end-to-end metadata management capturing technical, business, and operational metadata across databases, ETL pipelines, BI tools, and applications. Automated data lineage tracking shows exactly where data comes from, how it transforms, and where it goes — essential for compliance and impact analysis.
Build comprehensive data lineage maps that trace data flow from source systems through transformations to consumption points. Enable impact analysis for schema changes, regulatory reporting, and root cause investigation. Integrate lineage with your data catalog for a unified governance view.
Design and implement role-based and attribute-based access control (RBAC/ABAC) policies across your data platforms. Implement data masking, tokenization, encryption at rest and in transit, and privacy-preserving analytics to protect sensitive data while enabling legitimate business use.