Data Governance Experts in Zurich
with precise AI matching and vetted, available freelancersHire experts who define data ownership, build quality controls and implement metadata, lineage and privacy processes across your organisation. FRATCH quickly matches you with precise, vetted and available freelancers for your Data Governance project.
Meet FRATCH Experts in Zurich, who have recently used Data Governance
Vincent V.
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.
Paulo M.
Last position:
Power BI / Fabric & SAP BI Consultant at Financial Bank
- Developed Power BI semantic models, DAX and RLS, improving reporting performance and security.
- Designed Fabric Lakehouse with Medallion Architecture (Bronze/Silver/Gold), accelerating data processing and improving maintainability and scalability.
- Built Fabric Data Factory pipelines and PySpark transformations, reducing processing time by 40%.
- Delivered automated Power BI KPI dashboards, accelerating reporting and decision-making.
- Supported SAP BO 4.3 → 2025 migration across 2,000+ Webl reports and 34 universes, reducing testing effort by 35% and improving migration quality and reliability.
- Optimized UNX universes, reducing query execution time by 40%.
- Optimized SAP BO reporting solutions, improving reliability and reducing manual effort.
Environment: Power BI, Microsoft Fabric (Lakehouse, Warehouse, Pipelines, PySpark), Tabular Editor, DAX Studio, SAP BI (BO 4.3/2025, Webl, UNX Universes), 360Suite, InfoBurst, GitHub, JIRA.
Charles S.
Last position:
Data Delivery Lead at Westpac
- Owned and managed the product roadmap and backlog for the Consumer Banker reporting framework, prioritising features and driving iterative delivery of banker scorecards and network performance reporting in an agile environment.
- Developed and iterated portfolio financial reporting on a weekly cadence based on stakeholder feedback, replacing manual PowerPoint packs and saving the program hours of effort weekly.
- Integrated Generative AI (MS Copilot) to automate data lineage documentation across a large legacy codebase, eliminating est. 6 months of analyst effort and accelerating data governance outcomes.
- Led a unified data delivery approach and standards across five UNITE initiatives (~CHF 115m portfolio) supporting consolidation of legacy systems into the Digital Banker platform.
- Led cross-functional delivery team of 3 while also drawing on BA and DA talent pools, coordinating analytical resource across workstreams to accelerate data, reporting & governance outcomes.
Roland A.
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 E.
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
Tobias K.
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 P.
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.
Revealed U.
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.
Jürgen M.
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.
Discover over 15,000 top freelancers
Statistics of experts using Data Governance
Aggregated from the professional profiles of matched freelancers.
Experience
23 years
Position duration
3.3 years
Positions per freelancer
8
Top business areas
Information Technology, Project Management, Finance
Top industries
Banking and Finance, Information Technology, Professional Services
Certification focus areas
Business Intelligence, Information Technology, Marketing
Bachelor's degree or higher
100%
Master's degree or higher
63%
Certifications per freelancer
1
Most common languages
English, German, French
Speak two or more languages
100%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Zurich are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging 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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Data Governance experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Banking and Finance (67%)
- Information Technology (56%)
- Professional Services (56%)
- Healthcare (44%)
- Manufacturing (33%)
- Pharmaceutical (33%)
- Telecommunication (33%)
- Agriculture (11%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Data Governance covers
Data Governance establishes how an organisation defines, manages and uses data. It assigns ownership, clarifies accountability and sets rules for quality, access, retention and responsible use. The work connects business priorities with data management, security, privacy and regulatory requirements.
Where it is used
Governance supports reliable reporting, analytics, artificial intelligence and operational decision-making. It is especially valuable when data is spread across departments, cloud services and legacy systems.
- Define data domains, owners and stewardship roles
- Create business glossaries and critical data element registers
- Set policies for access, quality, retention and usage
- Establish controls for reporting and machine learning data
Ecosystem and tooling
Professionals work across catalogues, metadata repositories, lineage tools and data quality platforms. Common environments include Collibra, Alation, Microsoft Purview, Informatica, Apache Atlas and cloud services from AWS, Google Cloud and Microsoft Azure. They also connect governance controls with data warehouses, lakehouses, identity systems and workflow tools.
When companies need specialists
Companies often bring in freelance expertise during a data platform migration, a merger, a privacy programme or the rollout of self-service analytics. Specialists can establish a workable operating model without slowing delivery.
- Data ownership is unclear across business units
- Reports use conflicting definitions or unreliable sources
- Lineage and impact analysis are difficult to trace
- Policies exist but are not embedded in daily workflows
What strong professionals deliver
Strong professionals translate abstract policy into roles, processes and controls that teams can follow. They facilitate agreement between legal, security, technology and business stakeholders, then document decisions in usable glossaries and catalogues. They measure data quality against business rules and create escalation paths for unresolved issues.
In Zurich, collaboration may involve financial services, insurance, healthcare, manufacturing and public-sector organisations. A specialist should be comfortable working remotely or on site and communicating clearly with multilingual stakeholder groups.
How to assess expertise
Look for practical ownership of governance outcomes, not only familiarity with a tool. Ask how the professional would prioritise domains, define stewardship, resolve conflicting definitions and connect lineage to real decisions. Useful adjacent skills include data architecture, master data management, privacy, information security, SQL, cloud platforms and change management.
A credible professional explains trade-offs between central control and domain autonomy. They can show how governance becomes part of delivery workflows, how quality issues are assigned and how adoption is sustained after the initial programme ends.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Data Governance.
Data Governance defines who may create, access, change and use data, and under which rules. It helps organisations improve data quality, trace lineage, protect sensitive information and create consistent definitions for reporting, analytics and operational processes.
Data Governance sets the decision rights, policies, standards and accountability for data. Data management applies those rules through architecture, integration, storage, quality operations, metadata management and security, so the two disciplines work closely but are not interchangeable.
A strong Data Governance specialist often combines data architecture, metadata management, master data management and data quality with privacy and information security knowledge. Experience with SQL, cloud data platforms, catalogues, lineage tools and stakeholder facilitation is also valuable.
The right level depends on the scope and maturity of the organisation. A focused glossary or catalogue initiative may need a specialist who can deliver a defined workstream, while an enterprise operating model requires someone who has handled ownership conflicts, policy adoption and cross-functional change.
Data Governance is often suitable for remote collaboration because policies, glossaries, workflows and quality rules are managed digitally. On-site workshops can still help when teams must agree on ownership or definitions, particularly in regulated Zurich industries; clear English and any required local business language should be agreed upfront.
Common Data Governance tools include Collibra, Alation, Microsoft Purview, Informatica and Apache Atlas. The choice depends on the existing cloud environment, catalogue and lineage needs, integration model, user groups and the organisation’s ability to maintain metadata.
Ask the Data Governance professional to explain how they would prioritise domains, assign ownership and turn policy into daily controls. Strong answers connect governance to business outcomes, show how quality issues are resolved and recognise the trade-off between central standards and domain autonomy.
Data Governance projects in Zurich may involve financial services, insurance, healthcare, manufacturing or public-sector data. Freelancers should clarify stakeholder access, language expectations, on-site requirements, security constraints and the client’s current catalogue, lineage and stewardship practices before starting.
The average hourly rate of freelancers in Zurich, Switzerland who have used Data Governance in their recent projects is 155 €, which corresponds to a daily rate of about 1,242 € 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 63% hold at least a Master's degree.
On average, freelancers in Zurich, Switzerland who have used Data Governance in their recent projects have 23 years of professional experience, with a single engagement typically lasting around 3.3 years.
The most common languages among freelancers in Zurich, Switzerland who have used Data Governance in their recent projects are English (100%), German (89%), and French (22%).
The most common industries among freelancers in Zurich, Switzerland who have used Data Governance in their recent projects are Banking and Finance (67%), Information Technology (56%), and Professional Services (56%).
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 Finance (67%).
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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