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Data Governance Experts in Austria

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Hire experts who establish data ownership, improve data quality and align policies with platforms such as Microsoft Purview, Collibra and Informatica. FRATCH connects you with vetted, available freelancers through fast, precise AI matching.

Meet FRATCH Experts in Austria, who have recently used Data Governance

Verified expert

Zeev T.

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Enterprise Architect

Vienna
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
Verified expert

Manuel P.

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AI Engineer

Vienna
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.
Verified expert

Stefan M.

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Senior SAP Architect | Enterprise Analytics & Data Architecture

Bisamberg
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
Verified expert

Jonatan S.

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Senior Architect - SAP Data and AI

Vienna
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
Verified expert

Fabio G.

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IT Architect, Requirements Analyst and Consultant

Vienna
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
Verified expert

Christian P.

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Migration Lead for Accounting & Year-End Closing Tests

Vienna
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
Verified expert

Agnes N.

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Senior Technical Project Manager

Wien
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.
Verified expert

Benjamin A.

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Program / Project Management

Wien
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)
Verified expert

Klaus H.

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Founder

Guntramsdorf
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
Verified expert

Kevin L.

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Data Engineering & DWH Data Engineering Environment

Wien
Kevin L.

Last position:

Data Consultant at VBV Pensions- und Vorsorgekasse Ă–sterreich

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.

Verified expert

Andrea K.

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Product Owner

Nickelsdorf
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.
Verified expert

Alina I.

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SAS Enterprise Guide Business Analyst

Bucharest
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

Data Governance experts in Austria have 20 years of professional experience on average.

Position duration

2.7 years

Data Governance experts in Austria stay in a single position for 2.7 years on average.

Positions per freelancer

12

Data Governance experts in Austria have completed 12 positions on average over the course of their careers.

Top business areas

Information Technology, Business Intelligence, Operations

Data Governance experts in Austria have gathered most of their hands-on project experience in Information Technology, Business Intelligence, and Operations.

Top industries

Information Technology, Banking and Finance, Education

Data Governance experts in Austria are most in demand in Information Technology, Banking and Finance, and Education.

Certification focus areas

Information Technology, Project Management, Business Intelligence

Data Governance experts in Austria earn their certifications most often in Information Technology, Project Management, and Business Intelligence.

Bachelor's degree or higher

92%

92% of Data Governance experts in Austria hold at least a Bachelor's degree.

Master's degree or higher

77%

77% of Data Governance experts in Austria hold at least a Master's degree.

Doctorate

15%

15% of Data Governance experts in Austria have a doctorate (PhD).

Certifications per freelancer

3

Data Governance experts in Austria hold 3 professional certifications on average.

Most common languages

English, German, Spanish

Data Governance experts in Austria most often speak English, German, and Spanish.

Speak two or more languages

100%

100% of Data Governance experts in Austria speak two or more languages.

Based on our profile pool as of 29 Oct 2026.

Daily rate distribution

0% 25% 50% 75% 100%
38% of Data Governance experts in Austria charge less than €880 per day.
8% of Data Governance experts in Austria charge between €880 and €960 per day.
23% of Data Governance experts in Austria charge between €960 and €1040 per day.
8% of Data Governance experts in Austria charge between €1040 and €1120 per day.
23% of Data Governance experts in Austria charge €1120 or more per day.
<€880 €880-​960 €960-​1040 €1040-​1120 €1120+

The chart shows how the daily rates of experts in this technology in Austria 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 Austria using Data Governance

Rates are based on recent contracts and do not include FRATCH margin.

1000
750
500
250
Rate comparison chart
Daily rate avg. 940 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

1000
750
500
250
Rate comparison chart
Median rate 960 €

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 (77%)
  • Education (62%)
  • Media and Entertainment (46%)
  • Government and Administration (46%)
  • Insurance (38%)
  • Manufacturing (38%)
  • Professional Services (38%)

Please note that freelancers can work across multiple industries, so percentages overlap.

About the technology

What Data Governance covers

Data Governance defines how an organisation manages data as a shared business asset. It sets decision rights, ownership, policies and controls for data quality, access, retention and use. The goal is reliable information that people can understand and trust.

Where it is used

Companies apply Data Governance across operational, analytical and regulated environments. Typical work includes:

  • Creating business glossaries and data dictionaries
  • Defining ownership, stewardship and approval workflows
  • Improving master and reference data quality
  • Tracing data from source systems to reports
  • Preparing controls for audits and responsible data use

Ecosystem and tooling

Strong professionals connect governance principles with the systems that hold and process data. They may configure Microsoft Purview, Collibra, Informatica, Alation or IBM Knowledge Catalog, while working with data warehouses, lakehouses, catalogues, metadata repositories and identity controls. SQL, APIs and workflow automation often support implementation.

When companies need expertise

Freelance expertise is useful when governance must move from policy documents into daily operations. Common triggers include a cloud migration, a data platform programme, inconsistent reporting, a merger or new regulatory expectations. In Austria, professionals may also need to coordinate closely with local compliance, risk and business teams while collaborating remotely across regions.

What delivery involves

A practical engagement starts with the current data landscape, critical domains and decision makers. The professional then defines a target operating model, prioritises data products and creates workable controls. Deliverables can include governance charters, role matrices, quality rules, metadata models, lineage views, issue workflows and adoption guidance.

Signs of strong expertise

Look for professionals who combine business judgement with technical understanding. They should explain complex ownership questions clearly, distinguish policy from implementation and measure whether controls improve daily decisions. Useful evidence includes:

  • A governance model linked to real business processes
  • Clear quality rules with accountable owners
  • Experience integrating catalogues with data platforms
  • Traceable decisions, documented exceptions and lasting adoption
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Frequently asked questions

Questions about Data Governance? Start with the answers below.

Data Governance is used to define who may create, change, access and approve data, and under which rules. It supports consistent definitions, reliable reporting, controlled access, traceability and responsible data use across an organisation.

Data Governance sets the decision rights, policies and accountability around data. Data management is the broader operational practice of storing, integrating, protecting and using data, so governance guides many of those activities rather than replacing them.

A strong Data Governance professional often combines information architecture, data quality, metadata management, master data management and privacy controls. Experience with SQL, cloud data platforms, identity management, process design and stakeholder facilitation is also valuable.

The right level depends on the scope and maturity of the organisation. A focused glossary or quality initiative can suit a professional with targeted delivery experience, while an enterprise-wide operating model needs someone who has handled multiple domains, systems, decision groups and change activities.

Data Governance is often suitable for remote collaboration because much of the work involves workshops, documentation, configuration and analysis. On-site sessions can still help with process discovery and stakeholder alignment, while German or English language skills should match the teams involved in Austria.

Common Data Governance tools include Microsoft Purview, Collibra, Informatica, Alation and IBM Knowledge Catalog. The best choice depends on the existing cloud environment, catalogue needs, metadata sources, workflow requirements and the organisation’s operating model.

Ask for examples that connect governance decisions to measurable improvements in data use, quality or control. Strong professionals can show clear artefacts, explain trade-offs, involve business and technical groups, and demonstrate how policies became adopted processes rather than unused documentation.

A Data Governance freelancer should clarify the business outcomes, priority data domains, decision authority, existing policies, source systems and expected deliverables. It is also important to confirm access to stakeholders, the collaboration model and how success will be assessed.

The average hourly rate of freelancers in Austria who have used Data Governance in their recent projects is 118 €, which corresponds to a daily rate of about 940 € 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, 77% hold at least a Master's degree, and 15% 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 (38%).

The most common industries among freelancers in Austria who have used Data Governance in their recent projects are Information Technology (100%), Banking and Finance (77%), and Education (62%).

The most common business areas among freelancers in Austria who have used Data Governance in their recent projects are Information Technology (100%), Business Intelligence (85%), and Operations (62%).

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.

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