Data Governance Experts in Vienna
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Meet FRATCH Experts in Vienna, who have recently used Data Governance
Alexander P.
Last position:
Owner & Lecturer at Own company for AI governance and data products, Vienna
- Consulting and interim management at the interface between IT operations and regulation
- Impact analysis 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
- Lectures in Data & Information Management and Human-Machine Interaction at University of Applied Sciences Burgenland, since 2023
- Supervision of master’s theses and participation in the examination board
- Presentations for business 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
- MLOps and AIOps in live operations
- Own applications under own brand: shared codebase, separate delivery for each target device
- AI-assisted software development (vibe coding), complete agentic pipelines, code generation, implementation, automated testing, CI/CD and release cycles
- Publications on the EU AI Act, NIS2, DORA, CRA and CER as an integrated governance system
- 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
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
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
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
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 Pension and Provident Fund Austria
Development of a structured framework and comprehensive guidelines for documenting business and audit processes in a regulated financial environment. Support for the standardization of 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
2.4 years
Positions per freelancer
11
Top business areas
Information Technology, Business Intelligence, Operations
Top industries
Information Technology, Banking and Finance, Manufacturing
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
88%
Master's degree or higher
75%
Doctorate
13%
Certifications per freelancer
3
Most common languages
English, German, Spanish
Speak two or more languages
100%
Based on our profile pool as of 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Vienna 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 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 19 Sep 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 (63%)
- Manufacturing (63%)
- Education (50%)
- Media and Entertainment (50%)
- Retail (50%)
- Healthcare (38%)
- Insurance (38%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Data Governance covers
Data Governance is the operating model for managing data as a trusted business asset. It defines who owns data, how it is classified, which quality standards apply and how access is controlled. The work connects business priorities with information management, privacy and security.
Where it is used
Companies use Data Governance to make reporting reliable, support analytics and machine learning, and reduce uncertainty around sensitive information. It is especially relevant when data is spread across cloud services, operational systems, data warehouses and departmental tools.
- Establish ownership and stewardship models
- Define data domains, policies and standards
- Improve metadata, lineage and data quality
- Prepare information for audits and regulated processes
Ecosystem and tooling
The work may involve data catalogs, business glossaries, metadata repositories and lineage tools such as Collibra, Alation, Microsoft Purview or Informatica. Strong specialists also understand SQL, data warehouses, APIs, identity and access management, cloud platforms, master data and privacy controls. Tool selection matters less than clear processes and adoption.
When companies need specialists
Freelance expertise helps when a governance model must be designed, a catalog needs structure or inconsistent definitions block reporting. It is also useful during cloud migrations, mergers, platform rollouts and programs that bring data from multiple teams into a common operating model.
- Fragmented definitions create conflicting reports
- Data owners and responsibilities are unclear
- Quality issues are found too late
- Teams need practical policies, not unused documentation
Working with experts in Vienna
Vienna-based organizations often coordinate data across public services, finance, healthcare, manufacturing and international groups. A local expert can support workshops and stakeholder meetings on site, while remote collaboration works well for catalog configuration, documentation and quality reviews. German and English communication may both be relevant, depending on the teams involved.
What strong professionals deliver
Effective Data Governance professionals turn abstract policies into workflows that teams can follow. They connect business terms to technical metadata, define measurable quality rules and make ownership visible without creating unnecessary bureaucracy. Look for clear deliverables such as a governance operating model, glossary, catalog structure, lineage map, quality framework and rollout plan.
Frequently asked questions
Everything clients usually want to know about Data Governance, in one place.
Data Governance establishes rules, responsibilities and processes for managing data throughout its lifecycle. Companies use it to improve data quality, clarify ownership, support compliance, strengthen access controls and make analytics more dependable.
Data Governance defines the policies, decision rights and accountability that guide data management. Data management covers the broader operational work of storing, integrating, securing and using data, while governance sets the framework for doing that consistently.
A strong Data Governance freelancer usually understands metadata, data quality, master data, privacy, security and information architecture. Experience with SQL, cloud data platforms, catalogs, lineage tools and stakeholder facilitation is also valuable.
The right level depends on the scope and maturity of the organization. A focused glossary or quality initiative may need a specialist with a narrow delivery brief, while an enterprise-wide Data Governance model requires experience with operating models, change management and complex stakeholder groups.
Much of Data Governance can be delivered remotely, including policy design, catalog work, documentation and quality assessments. On-site workshops can still help when ownership decisions, process mapping or sensitive stakeholder discussions require close collaboration in Vienna.
Common Data Governance tooling includes Collibra, Alation, Microsoft Purview and Informatica, along with data warehouses, metadata stores and identity systems. The best choice depends on the existing architecture, required integrations, data domains and the organization’s ability to maintain the tool.
Ask for concrete examples of policies, ownership models, glossaries, lineage structures or quality controls they have delivered. A capable Data Governance professional explains how the work changed daily behavior, resolved conflicting definitions and created accountability beyond documentation.
A well-scoped Data Governance project should produce practical outputs such as decision rights, a governance model, data definitions, quality rules, catalog structures and an implementation roadmap. It should also explain who maintains these assets and how adoption will be monitored.
The average hourly rate of freelancers in Vienna, Austria who have used Data Governance in their recent projects is 115 €, which corresponds to a daily rate of about 916 € based on an 8-hour working day.
Of the freelancers in Vienna, Austria who have used Data Governance in their recent projects, 88% hold at least a Bachelor's degree, 75% hold at least a Master's degree, and 13% 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 2.4 years.
The most common languages among freelancers in Vienna, Austria who have used Data Governance in their recent projects are English (100%), German (88%), and Spanish (50%).
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 (63%), and Manufacturing (63%).
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 (75%), and Operations (75%).
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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