Data Governance Experts in Zurich
in minutes with vetted, available specialists and the power of AIHire experts who set up data policies, ownership models, and controls for reporting, risk, and compliance work. They also support data catalogs, lineage, and stewardship routines, so your teams can trust the same data across systems. Fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Zurich, who have recently used Data Governance
Vincent Verdet
Last position:
IT Business Partner & Enterprise Architect at Sulzer
- Established the Enterprise Architecture function from the ground up for Sulzer Group (~13,500 employees, CHF 3.6B revenue)
- Defined the Technical Governance framework, Target Operating Model, and IT PMO foundation now governing architecture decisions and portfolio demand across all divisions.
- Deployed SAP LeanIX as the authoritative application portfolio system of record - catalogued 500 applications group-wide (140 for Chemtech), onboarded business and IT stakeholders, and initiated integration with ServiceNow to embed architecture data into operational workflows.
- Led the divisional & group wide Application Rationalization initiative
- Decommissioned 15% of the 140 applications Chemtech portfolio, delivering CHF 627k in run-rate savings over two years and materially reducing licensing and support exposure.
- Defined and executed the divisional AI Roadmap in partnership with Sales, Legal, and R&D leadership
- Delivered 4 AI solutions into production (including Sales process harmonization and LLM-based IP conflict detection) from a portfolio of 7 prioritized initiatives.
- Built and owned the 3-year IT Strategic Roadmap for Chemtech
- Aligned cloud and technology architecture with divisional business priorities and a CHF 1.5M annual investment envelope.
- Delivered CHF 500k in cost avoidance by challenging and discontinuing funded but low-value initiatives, demonstrated governance discipline and executive influence, with zero implementation spend.
Jürgen Müller
Last position:
Global Healthcare IT and Strategy Expert at Deloitte
Executive advisory for healthcare organizations focused on enterprise transformation, healthcare modernization, digital health strategy, AI strategy, enterprise ICT transformation and strategic EHR modernization.
- Advise healthcare organizations in Switzerland, Germany and Belgium on EHR strategy, enterprise transformation, digital health, AI and target operating models.
- Lead EHR platform selection and evaluation as well as RFI/RFP processes; define governance, vendor-assessment and decision methodologies.
- Develop EHR feasibility studies, transformation roadmaps, executive business cases, cost-benefit analyses and value-realization assessments.
- Assess Epic and alternative EHR platforms for strategic fit, operational excellence, AI enablement, interoperability, governance and long-term value.
- Design AI strategy scenarios and governance models and facilitate executive workshops on AI, data governance, operational excellence and future healthcare operating models.
Roland Arato
Last position:
Project Manager and Senior Business Analyst at Init Services GmbH
- Project management: Implementation of SAP & EBX integration for master and reference data management and led development of AI supported services for data management and privacy-oriented solutions
- Business analysis: Executed in-depth requirement gathering and data analyzes for MDM implementation, supported service integration using REST APIs to enhance service interoperability, led the requirement gathering, analysis, and implementation of agent-based AI services
- Technologies: SAP BP & FICO & MM, Tibco EBX, n8n, custom AI development in Java, Python, RDBMS, cloud
John Edwards
Last position:
Co-Founder / Non-Executive Director at GRP Energy
- Co-founded battery storage business targeting residential, commercial & industrial, and utility markets in Netherlands and UK
- Developed UK and Netherlands market entry strategies based on competitive analysis and regulatory assessment
- Led "Storage as a Service" business model development to complement core hardware distribution business line
- Created comprehensive financial models and investment cases for capital raising initiatives
- Provided board-level strategic guidance and governance oversight
Dariusz Kaczmarkiewicz
Last position:
Business System Analyst at Zurich Insurance
Participating in a strategic enterprise project to introduce a centralized customer data platform ("Single Source of Truth") to eliminate redundant data storage and accelerate digital services
Analyzing and documenting business and system requirements for migrating large, heterogeneous data sets (ETL) and for continuous data synchronization between core systems and the new platform
Close collaboration with business units, data engineers and architects to gather and validate requirements, and to ensure data quality, consistency and regulatory compliance
Defining the migration strategy, specifying ETL processes and synchronization mechanisms, and documenting technical interfaces
Developing and executing test cases for migration and synchronization processes, and performing defect analysis to ensure data integrity and system stability
Technologies: SQL, Microsoft SQL Server, Azure DevOps, Confluence, UML, RESTful Services, Swagger, Postman
Tobias Künkler
Last position:
CEO, Interim Manager for Chief Data Officer & Chief Transformation Officer roles at Hyght
- Lead interim roles as Chief Data Officer and Chief Transformation Officer, orchestrating the design and execution of digital, data, and AI transformations within private equity and enterprise organizations
- Design and implement data and digital strategies that align with organizational goals, enhance operational efficiency, and drive innovation across business units
- Develop and implement target operating models (TOMs) to establish and restructure data, AI, and IT organizations, enhancing their alignment with business objectives
- Define and operationalize enterprise data and AI governance frameworks that ensure compliance, mitigate risks, and promote best practices across the organization
- Spearhead transformations for private equity–backed companies, ensuring operational practices align with strategic objectives to foster sustainable growth and deliver value creation
- Formulate and execute comprehensive Value Creation Plans (VCPs) that identify growth opportunities, enhance operational efficiencies, and develop revenue enhancement strategies
Bartosz Porzezinski
Last position:
Senior Project Manager, Product Owner at SoftwareONE
- Led a global enterprise-platform upgrade across 60+ countries, coordinating multiple localizations, integrations, and stakeholder groups from multiple locations, including Europe, US and India.
- Product Owner for a delivery team focused on platform usability, performance, and reliability—owning backlog, roadmap, and KPI outcomes.
- Implemented governance and audit-ready processes that made change safer and more predictable, and improved platform compliance with regulatory requirements.
Jörg Benedikt Schenker
Last position:
Founder & Managing Director at Schenker Labs GmbH
Applications development & consulting - Schenkerlabs.com
Revealed Upon-Contact
Last position:
Executive Enterprise Data & Analytics Advisor at A medium-size private bank
- Responsible for defining and implementing an enterprise Data Governance framework with an initial focus on BCBS-239, including Data Catalog tooling and formalized data asset ownership.
- Led the turnaround and delivery of an Enterprise Data Warehouse to support regulatory and management reporting on a robust, integrated data platform with a primary focus on Finance.
- Served as a key contributor to the bank’s Data, Analytics & AI strategy, which was subsequently approved by the management board.
Tom Debus
Last position:
Leader of Start-up programs
Discover over 15,000 top freelancers
Statistics of experts using Data Governance
Aggregated from the professional profiles of matched freelancers.
Experience
24 years
Position duration
3.1 years
Positions per freelancer
10
Top business areas
Information Technology, Project Management, Strategy
Top industries
Banking and Finance, Information Technology, Professional Services
Certification focus areas
Information Technology, Product Development, Business Intelligence
Bachelor's degree or higher
100%
Master's degree or higher
86%
Certifications per freelancer
1
Most common languages
English, German, French
Speak two or more languages
100%
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Zurich are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Zurich using Data Governance
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Governance scope
Data governance defines how a company names, classifies, owns, and protects its data. It covers rules for access, quality, retention, and accountability so business teams can use the same data with fewer disputes. Strong governance turns scattered records into data that can be trusted in daily work.
Common deliverables
- Data policies and standards
- Ownership and stewardship models
- Data quality rules and issue handling
- Metadata, glossary, and lineage setup
- Access and classification guidance
These deliverables often sit inside broader information governance work, especially when reporting and risk teams need a clear view of who can use which data and why.
Tools and ecosystems
Data governance specialists often work with data catalogs, workflow tools, and quality checks that connect to warehouses, lakehouses, and BI layers. Common platforms include Collibra, Alation, Microsoft Purview, Informatica, and IBM tools, plus cloud services from AWS, Azure, and Google Cloud. The best professionals know how the tools fit the operating model, not just how to configure screens.
When to bring in help
Companies usually bring in freelance expertise when governance needs to move from slides to practice. That often happens during platform rollouts, audits, M&A integration, cloud migration, or when teams in Zurich need clearer control over sensitive data across finance, insurance, or regulated operations.
- No clear data ownership
- Conflicting definitions in reports
- Repeated quality issues
- Slow approval for access requests
- Missing lineage or catalog coverage
What strong specialists do
Strong professionals translate policy into simple routines that teams can actually follow. They align business owners, data teams, and security stakeholders, then document decisions in a way that stays usable after the project ends. They also know when governance should be light and practical, not heavy and slow.
What it should achieve
Good governance supports better reporting, safer access, and faster change across systems. It helps companies prepare for new data products, master data efforts, and AI use cases without losing control of definitions or quality. The goal is not more process; it is reliable data that people can use with confidence.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Data Governance.
Data Governance covers the rules, roles, and controls that keep data usable and accountable. It usually includes ownership, quality, access, classification, retention, and definitions in a business glossary. The goal is to make sure teams work from the same trusted data, not from competing copies.
Data Governance sets the decision rights and standards; data management carries them out in daily systems and workflows. Information governance is broader in some organizations and may also cover documents, records, and legal retention. In practice, companies often need all three, but governance is the layer that decides who is responsible and what the rules are.
A strong Data Governance specialist usually also understands data quality, metadata management, master data, privacy, security, and business analysis. Experience with data catalogs, lineage, and reporting tools is useful too. In Zurich, communication skills matter as much as technical depth because governance work often spans business, risk, and IT teams.
Data Governance work needs experience when the company has many source systems, strict access rules, or a history of inconsistent reporting. It also needs depth when a catalog, stewardship model, or operating model must be introduced without slowing the business. A generalist can help with basics, but a specialist is better when the decisions affect multiple teams.
Data Governance can often be done remotely because much of the work is workshops, documentation, and stakeholder alignment. On-site time in Zurich helps when you need fast decisions from business owners, compliance teams, or executive sponsors. Many projects work best with a hybrid setup.
Data Governance often sits around tools like Collibra, Alation, Microsoft Purview, Informatica, and IBM governance products. Specialists may also work with cloud data platforms, BI tools, ticketing systems, and workflow approvals. The right choice depends on whether the focus is cataloging, policy control, quality, or lineage.
A strong Data Governance specialist can explain how policies become real routines, not just how a tool is configured. Look for clear examples of ownership models, glossary design, issue handling, and cross-team adoption. Good signs are practical language, clean documentation, and an approach that fits how your company already works.
Data Governance should leave you with clearer ownership, better definitions, more reliable reporting, and a sensible process for access and quality issues. It should also make future projects easier because teams know where data comes from and who is responsible for it. If the result is only documents, the work is not finished.
The average hourly rate of freelancers in Zurich, Switzerland who have used Data Governance in their recent projects is 164 €, which corresponds to a daily rate of about 1,314 € based on an 8-hour working day.
Of the freelancers in Zurich, Switzerland who have used Data Governance in their recent projects, 100% hold at least a Bachelor's degree and 86% hold at least a Master's degree.
On average, freelancers in Zurich, Switzerland who have used Data Governance in their recent projects have 24 years of professional experience, with a single engagement typically lasting around 3.1 years.
The most common languages among freelancers in Zurich, Switzerland who have used Data Governance in their recent projects are English (100%), German (90%), and French (20%).
The most common industries among freelancers in Zurich, Switzerland who have used Data Governance in their recent projects are Banking and Finance (70%), Information Technology (60%), and Professional Services (50%).
The most common business areas among freelancers in Zurich, Switzerland who have used Data Governance in their recent projects are Information Technology (100%), Project Management (100%), and Strategy (70%).
Main locations of FRATCH Experts, who have recently used Data Governance
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Countries:
Zurich 
Geneva Basel Bern Request a free demo
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Philipp Thomaschewski
FRATCH CEO
