
Data Governance Experts in Austria
for trusted data with fast, precise AI matchingHire experts who define data ownership, build quality and metadata standards, and connect governance with platforms such as Microsoft Purview, Collibra, and cloud data warehouses. FRATCH matches you quickly with vetted, available freelancers whose experience fits your project.
Meet FRATCH Experts in Austria, 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
Christian P.
Last position:
Migration Lead for Accounting & Year-End Closing Tests at Raiffeisenverband Salzburg
- Project and test management for the accounting migration
- Coordination of resources
- Planning, creation and alignment of scenarios with functional experts and IT product owners
- Responsibility for accounting KPIs of the migration cockpit
- System environment: Jira, XRay, Confluence
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)
Klaus H.
Last position:
Founder at HoWi Consulting e. U.
- Project management IT & business process design digitalization
- Delivered 10+ successful projects (see project list)
- Business analysis
- Business organization
- Data management
Andrea K.
Last position:
Product Owner at ESET
- Managed the backlog for Financial product in Data Warehouse Systems, prioritized features, and aligned development efforts with business goals and financial reporting needs
- Defined the product vision and roadmap in collaboration with stakeholders and technical teams
- Delivered complex financial solutions supporting IFRS-compliant revenue recognition, budgeting and forecasting frameworks
- Facilitated cross-functional collaboration with finance, development, architecture, business owners, and executive management
- Translated business needs into clear specifications and functional designs, ensuring accurate implementation
- Led data governance initiatives to maintain integrity, consistency, and compliance
- Oversaw and conducted Agile ceremonies including backlog refinement, sprint planning, daily stand-ups, and retrospectives
- Coordinated and executed User Acceptance Testing (UAT) to validate business requirements and ensure smooth adoption
- Applied Agile Scrum methodologies using Jira and Confluence to manage delivery and documentation.
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.
Alina I.
Last position:
SAS Enterprise Guide Business Analyst at UniCredit Business Integrated Solutions
- Ensure the business requirements documentation activity for the changes originated by the business units
- Deliver business specifications in the respective area
- Support business units
- Support the Technical Analysis Office and BI architecture for technical analysis, design and test analysis
- Participate in overall production lifecycle and post-deployment support
- Support the definition and maintenance of common language and data governance
- Organize support activities for production incidents assuring proper continuity of business activities
- Ensure compliance and support evolution of processes, standards and frameworks
Discover over 15,000 top freelancers
Statistics of experts using Data Governance
Aggregated from the professional profiles of matched freelancers.
Experience
20 years

Position duration
2.7 years

Positions per freelancer
11

Top business areas
Information Technology, Business Intelligence, Operations

Top industries
Information Technology, Banking and Finance, Education

Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
92%
Master's degree or higher
83%
Doctorate
17%

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 Austria 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 Austria 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 (75%)
- Education (58%)
- Manufacturing (42%)
- Media and Entertainment (42%)
- Insurance (33%)
- Transportation (33%)
- Professional Services (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Data Governance Covers
Data Governance is the framework for making data trustworthy, usable, secure, and accountable across an organization. It defines who owns data, how it is classified, which quality rules apply, and how decisions are documented. Governance connects business priorities with data management, privacy, risk, and technology.
Where It Is Used
Governance supports data products, reporting, analytics, artificial intelligence, regulatory processes, and master data programs. Companies in banking, insurance, manufacturing, healthcare, retail, and the public sector use it to create consistent information across departments and systems.
- Define ownership, stewardship, and decision rights
- Establish data quality rules and issue workflows
- Create business glossaries, catalogs, and lineage
- Align access controls with business and risk needs
Ecosystem And Tooling
Professionals work across data warehouses, lakehouses, integration tools, catalog platforms, and identity systems. Common products include Microsoft Purview, Collibra, Alation, Informatica, IBM Knowledge Catalog, and cloud services from Azure, AWS, and Google Cloud. Useful adjacent skills include SQL, metadata management, master data management, privacy, security, and change management.
When Companies Need Specialists
Freelance expertise is valuable when governance must move from policy to daily practice. Typical triggers include a cloud migration, fragmented reporting, a new data platform, an audit finding, an acquisition, or the launch of an analytics program.
- Assess current maturity, ownership, and critical data domains
- Design governance operating models and implementation roadmaps
- Configure catalogs, classifications, lineage, and workflows
- Train data owners and embed stewardship routines
Working With Austrian Teams
Projects in Austria often combine local business, risk, and compliance stakeholders with distributed technology teams. Remote collaboration works well when roles, decision paths, documentation, and workshop routines are clear. On-site sessions can help align departments during discovery, operating-model design, and adoption; German or English may be needed depending on the organization.
What Strong Professionals Bring
Strong specialists translate between business language and technical controls. They can turn vague concerns about data into ownership models, measurable quality rules, usable catalogs, and processes that teams will follow. Look for evidence of completed governance rollouts, practical stakeholder management, and experience with the company’s domains, platforms, and regulatory context.
Frequently asked questions
Questions about Data Governance? Start with the answers below.
Data Governance sets the rules, roles, and processes that make organizational data reliable and accountable. Companies use it to improve data quality, clarify ownership, document lineage, control access, and support reporting, analytics, artificial intelligence, and compliance.
Data Governance defines decisions, responsibilities, standards, and controls for data. Data management applies those rules through activities such as storage, integration, quality monitoring, metadata management, security, and lifecycle handling.
A strong Data Governance specialist often understands data quality, metadata, master data management, privacy, information security, SQL, and cloud data platforms. Experience with tools such as Microsoft Purview, Collibra, Alation, or Informatica can also be useful, depending on the environment.
The right Data Governance freelancer should first understand the organization’s data domains, risks, operating model, and decision paths. A project may need a maturity assessment, target operating model, catalog setup, quality framework, or adoption support rather than a broad policy document alone.
Data Governance is well suited to remote work when workshops, documentation, and stakeholder decisions are structured. Austrian organizations may still prefer on-site sessions for discovery or alignment, while ongoing configuration, analysis, and enablement can usually happen remotely in German or English.
Companies often seek Data Governance expertise during cloud migrations, platform programs, mergers, audits, reporting problems, or the creation of new data products. An external specialist can provide an independent assessment and help establish practical routines without waiting for a permanent internal team.
Ask how the Data Governance freelancer converted principles into working ownership, quality, catalog, and escalation processes. Review examples of stakeholder adoption, measurable controls, documentation, and integration with the organization’s existing data and security practices.
Data Governance supports compliance, but its purpose is broader than meeting regulatory demands. Good governance helps teams find, understand, trust, and use data consistently while reducing operational risk and improving the value of data platforms and business decisions.
The average hourly rate of freelancers in Austria who have used Data Governance in their recent projects is 116 €, which corresponds to a daily rate of about 928 € based on an 8-hour working day.
Of the freelancers in Austria who have used Data Governance in their recent projects, 92% hold at least a Bachelor's degree, 83% hold at least a Master's degree, and 17% hold a doctorate.
On average, freelancers in Austria who have used Data Governance in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 2.7 years.
The most common languages among freelancers in Austria who have used Data Governance in their recent projects are English (100%), German (92%), and Spanish (33%).
The most common industries among freelancers in Austria who have used Data Governance in their recent projects are Information Technology (100%), Banking and Finance (75%), and Education (58%).
The most common business areas among freelancers in Austria who have used Data Governance in their recent projects are Information Technology (100%), Business Intelligence (83%), 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:
- Germany
- Austria
- Switzerland
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