Data Governance Experts in Vienna
matched in minutes by AIHire experts who define data ownership, establish quality controls and implement metadata and compliance practices across your systems. FRATCH matches you quickly with vetted, available freelancers who fit your exact Data Governance requirements.
Meet FRATCH Experts in Vienna, who have recently used Data Governance
Alexander P.
Last position:
Owner & Lecturer at Artellico / Own company for AI governance and data products
- Consulting and interim management at the intersection of IT operations and regulation
- Impact assessment and implementation planning for NISG 2026 and the EU AI Act, including risk management and reporting and evidence processes
- Training for governing bodies and employees on regulatory obligations
- Teaching assignments in Data & Information Management and Human-Machine Interaction at Hochschule Burgenland, since 2023
- Supervision of Master's theses and participation on examination boards
- Industry talks for businesses and educational institutions
- Design and development of data and AI products, platforms and pipelines
- Privacy-first architectures and Zero-Knowledge encryption, cloud-native on EU infrastructure
- Integration with bank account systems using SEPA direct debit mandates and message formats under ISO 20022 (pain.008, camt.053)
- MLOps and AIOps in live operations
- Own applications under my own brand: shared codebase, separate deployment for each target device
- AI-assisted software development (vibe-coding), complete agentic pipelines, code generation, implementation, automated testing, CI/CD and release cycles
- Professional publications on the EU AI Act, NIS2, DORA, CRA and CER as an integrated governance system
- Professional publications on data sovereignty, cloud economics and industrial image processing
- AI governance / compliance: data quality, Responsible AI, EU AI Act readiness, risk classification, AI ethics
Zeev T.
Last position:
Enterprise Architect at Coveris Group
- Built Enterprise Architecture practice covering business, application, data, and integration layers
- Created a multi-year Integration Strategy, delivering annual cost savings of several hundred thousand euros
- Defined portfolio simplification roadmap, identifying redundant systems and cost reduction opportunities
- Designed target-state enterprise architecture around D365 FSCM, enabling a best-of-breed future landscape
- Developed Master Data Management (MDM) strategy and roadmap to improve data quality and operational efficiency
- Provided enterprise-wide architectural direction ensuring alignment and eliminating redundant initiatives
- Established reusable architecture patterns adopted by delivery teams
- Facilitated cross-functional architecture forums to align product and delivery teams
- Translated enterprise architecture guidance into practical delivery decisions
- Drove practical adoption of architecture guidance across initiatives rather than acting as a gatekeeper
- Identified redundant systems enabling substantial cost reduction potential
- Enabled cost transparency in integration landscape
- Enabled fact-based investment prioritization decisions
Manuel P.
Last position:
AI Engineer at Misumi Europe GmbH & Motius GmbH
- Designed and built a next-generation NLP platform to accelerate sales-driven customer service through intelligent request analysis and routing, reducing average customer query response time by 30%.
- Architected a hybrid NLP system combining Large Language Models (LLMs) with traditional NLP pipelines for robust, explainable results.
- Developed request classification and routing mechanisms to accelerate customer support teams in handling customer queries faster and more accurately.
- Optimized LLM based data extraction and classification with context engineering.
- Integrated the platform into customer service processes, reducing response times and enhancing workforce efficiency.
Stefan M.
Last position:
SAP Architect at Manufacturing Industry
SAP Business Data Cloud / Datasphere rollout
Technologies: SAP Datasphere | SAP BTP | SAP Analytics Cloud | ETL / ELT | Security & Governance
Tasks / Responsibilities:
- Designing and implementing data architectures in SAP Business Data Cloud / Datasphere
- Designing spaces, data products, and data flows for integrated data models
- Connecting SAP and non-SAP systems via SDI, ODP, APIs
- Integration with SAP Analytics Cloud for self-service analytics
- Building governance, security, and authorization concepts
- Creating architecture guidelines & performance optimization
Results / Achievements:
- Introduced a central data catalog & authorization concept
- Laid the foundation for self-service analytics
Jonatan S.
Last position:
Lead Architect and Trusted Advisor at Jonatan Skopek - Data and AI Consulting
Replacement of HR BW system
Industry: Automotive
Technology: SAP Datasphere, SAC, Cloud Integration, CAP Application, Databricks
- Development of the target architecture to transform the existing BWonHANA HR BW to SAP Datasphere
- Development of an authorization concept
- Execution of architecture governance in the implementation project
Fabio G.
Last position:
IT Architect, Requirements Analyst and Consultant at CANCOM
- Supports CANCOM customers in migrating legacy on-prem systems to Microsoft Fabric and Microsoft Foundry
- Takes over and stabilizes existing solutions after a short handover
- Business analysis and requirements engineering for migration to a new cloud environment
- Optimization of machine learning models for feature extraction and customer profiling
- Ensures data protection and compliance
- Leads the migration of on-prem systems to Microsoft Fabric
- Designs new AI platforms for clients
- Tests the integration of chatbots for document intelligence with Microsoft Foundry, including requirements analysis, implementation, validation, and client communication
Agnes N.
Last position:
Senior Technical Project Manager at LastPass
- Acting as the sole program owner for BizMax and SaaS Monitoring products, integrating enterprise business insights with platform reliability and health monitoring to drive revenue growth and operational confidence.
- Own delivery of complex B2B technical initiatives at LastPass, driving implementation of innovative security and platform features across the broader zero-knowledge ecosystem.
- Work with backend, frontend and DevOps teams; manage stakeholders from Product, Marketing, Engineering, Architecture, Security, Platform, UX, and Quality to define scope, priorities, success metrics, and delivery plans while driving technical decision processes.
- Lead program planning and execution across multiple workstreams, ensuring delivery on time, within scope, and aligned with business objectives; mentor cross-functional teams and act as the primary escalation point to remove blockers and maintain delivery momentum.
- Drive annual strategic planning and budgeting, working with senior leadership and directors to align priorities, secure funding, and optimize resource allocation; proactively identify, manage, and mitigate technical, delivery, and dependency risks throughout the full program lifecycle, escalating issues early to minimize impact.
- Lead internal dogfooding initiatives and external beta programs, collaborating directly with customers to validate functionality, usability, and performance.
- Support go-to-market activities by contributing to customer-facing content, including blogs, talks, and product communications; own go-live readiness, hypercare coordination, and program closure, ensuring lessons learned are captured and applied for continuous improvement.
- Successfully led a large-scale greenfield program, designing and implementing end-to-end delivery and governance processes from scratch to deliver SaaS Monitoring and BizMax features, generating a multimillion-dollar increase in ARR and becoming a major revenue stream for the company.
- Designed repeatable AI-assisted workflows that improve planning accuracy and reporting efficiency.
- Founded and implemented standardized cross-team PMO processes and templates, including project overview, project brief, T-shirt sizing, risk register, ADR/RFC, release rollout plan, CAB, program closure, lessons learned, internal and external beta programs, and dogfooding, establishing a company-wide framework supporting delivery of the largest-scale programs.
- Mentored junior team members, new hires, and employees undergoing transformation initiatives, supporting skills development and adoption of modern delivery practices.
Benjamin A.
Last position:
Multi-Project Manager at Trading Company
- Setup of a new Data Warehouse (Budget ~€15M 2025 – 2026)
- Backend modernization project (Budget ~€5M 2025 – 2026)
- Standard software rollout with custom programming (Budget ~€9M 2025 – 2026)
Kevin L.
Last position:
Data Consultant at VBV Pensions- und Vorsorgekasse Österreich
Development of a structured framework and comprehensive guidelines for documenting business and audit processes in a regulated financial environment. Support in standardizing process documentation to improve transparency, consistency, and traceability across all operational workflows. Contribution to defining documentation standards, templates, and governance principles for internal process management and audit readiness.
Discover over 15,000 top freelancers
Statistics of experts using Data Governance
Aggregated from the professional profiles of matched freelancers.
Experience
19 years
Position duration
2.5 years
Positions per freelancer
12
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Information Technology, Banking and Finance, Education
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
89%
Master's degree or higher
67%
Doctorate
11%
Certifications per freelancer
4
Most common languages
English, German, Spanish
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 Vienna 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 Vienna 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.
- Information Technology (100%)
- Banking and Finance (67%)
- Education (56%)
- Manufacturing (56%)
- Media and Entertainment (56%)
- Retail (56%)
- Healthcare (44%)
- Insurance (44%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Purpose and scope
Data Governance defines how an organisation manages data as a shared business asset. It establishes ownership, accountability, quality expectations and rules for collecting, using, sharing and retaining information. The work connects business priorities with practical controls across operational systems, analytics environments and data products.
Core operating model
A strong governance model gives data owners, stewards and custodians clear responsibilities. Specialists create policies, decision rights, escalation paths and approval processes that teams can follow without slowing delivery. They also align governance with privacy, security, records management and risk requirements.
Methods and tooling
Data Governance commonly spans data catalogues, business glossaries, lineage tools, quality platforms and master data management solutions. Professionals may work with Collibra, Alation, Microsoft Purview, Informatica, Atlan or cloud-native services. Useful adjacent skills include SQL, metadata management, data modelling, identity controls and workflow design.
Where it delivers value
- Defining critical data elements and ownership
- Building business glossaries and searchable catalogues
- Monitoring accuracy, completeness, consistency and timeliness
- Tracing lineage for reports, models and regulated data
- Establishing master and reference data processes
These practices support finance, healthcare, manufacturing, retail and public-sector systems. In Vienna, specialists may help organisations coordinate governance across local teams, international groups and suppliers, with remote or on-site collaboration depending on access and workshops.
When to bring in specialists
Companies often seek freelance expertise during a governance launch, a cloud migration, a merger or a regulatory readiness programme. External professionals can assess fragmented ownership, prioritise high-value domains and turn broad policies into usable workflows. They can also configure tools, train teams and prepare practical documentation for handover.
What strong professionals show
The best specialists combine data management knowledge with facilitation and change skills. They can explain technical lineage to business stakeholders, challenge unclear definitions and measure whether controls work in daily operations. Look for experience with comparable data domains, clear deliverables, tool-specific capability and a pragmatic approach to adoption. For Vienna-based work, language fit and comfort with distributed teams can matter as much as on-site availability.
Frequently asked questions
Everything clients usually want to know about Data Governance, in one place.
Data Governance is used to define who owns data, how it should be described, which quality standards apply and how access and use are controlled. It helps organisations create reliable reporting, consistent master data and traceable decisions across multiple systems.
Data Governance sets the policies, responsibilities and decision rights for data. Data management applies those decisions through activities such as integration, storage, quality monitoring, metadata administration and lifecycle management.
Data Governance work often involves catalogues and lineage tools such as Collibra, Alation, Microsoft Purview, Informatica or Atlan. Useful adjacent skills include SQL, data modelling, master data management, privacy controls, cloud data platforms and stakeholder facilitation.
Data Governance deliverables may include a target operating model, ownership matrix, business glossary, policy set, critical data element register and quality framework. A strong professional also documents workflows, configures agreed tooling and gives internal teams a practical handover.
Data Governance needs depend on scope, data complexity and the number of business domains involved. A focused catalogue or glossary initiative may need a specialist with targeted delivery experience, while an enterprise operating model calls for broader skills in change management, architecture, risk and executive communication.
Data Governance can often be delivered remotely because much of the work involves workshops, documentation, tool configuration and stakeholder reviews. On-site sessions in Vienna may still help with discovery, ownership decisions and training, especially when teams handle sensitive or regulated information.
Data Governance quality is best assessed through concrete examples of policies adopted, ownership models implemented and data quality issues resolved. Ask how the professional measures adoption, handles conflicting definitions and connects governance controls to operational processes rather than producing documents alone.
Data Governance specialists should clarify the business outcomes, priority domains, executive sponsor, available tooling and current ownership structure. They should also confirm access constraints, workshop language, decision timelines and whether the engagement covers strategy, implementation, enablement or all three.
The average hourly rate of freelancers in Vienna, Austria who have used Data Governance in their recent projects is 117 €, which corresponds to a daily rate of about 934 € based on an 8-hour working day.
Of the freelancers in Vienna, Austria who have used Data Governance in their recent projects, 89% hold at least a Bachelor's degree, 67% hold at least a Master's degree, and 11% hold a doctorate.
On average, freelancers in Vienna, Austria who have used Data Governance in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 2.5 years.
The most common languages among freelancers in Vienna, Austria who have used Data Governance in their recent projects are English (100%), German (89%), and Spanish (56%).
The most common industries among freelancers in Vienna, Austria who have used Data Governance in their recent projects are Information Technology (100%), Banking and Finance (67%), and Education (56%).
The most common business areas among freelancers in Vienna, Austria who have used Data Governance in their recent projects are Information Technology (100%), Business Intelligence (78%), and Project Management (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:
Vienna 
Graz Request a free demo
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