Data Governance Experts in Berlin
matched in minutes from over 15,000 CVsHire experts who define data ownership, establish quality and privacy controls, and implement catalogues and lineage across complex environments. FRATCH connects you with vetted, available freelancers through fast, precise AI matching.
Meet FRATCH Experts in Berlin, who have recently used Data Governance
Alexander Z.
Last position:
Senior Data Solutions Engineer at VMware Inc.
- Architected and deployed private cloud data platform on VMware vSphere, integrating Greenplum MPP, Apache Kafka, Kubernetes, and Apache Solr, and developed real-time ingestion pipelines with Kafka Connect and Schema Registry.
- Led Oracle Exadata to Greenplum migration, rearchitected data models, optimized storage, implemented RabbitMQ with Debezium for CDC, and deployed VectorDB for Generative AI.
- Designed and executed multi-cloud migration PoC across AWS, Azure, and GCP, defined KPIs for throughput, latency, and cost efficiency, executed bulk data transfers, validated analytics and streaming workloads, and delivered full-scale architecture recommendations.
- Assessed legacy on-premises infrastructure and designed modern cloud-native data platforms using Greenplum and containerized microservices, advising on scalability, disaster recovery, and high-availability.
Giovanni L.
Last position:
Solution Architect at Nordea Bank
Consumer Cards Solution Architect
- Provided architectural leadership in Consumer Cards Domain establishing best practices and improving architectural transparency and maintainability by designing a structured documentation framework to enable reverse engineering of legacy card systems.
- Standardized architectural artefacts including BIAN Business Capabilities, UML diagrams in draw.io format (Use Case, Component, Sequence), naming conventions, document repository, design templates and blueprints, microservices.
- Produced high-level and low-level designs aligned with enterprise architecture governance processes and artefact standards.
- Provided architectural support to the Strategic Card Simplification Programme, focusing on card product migrations and application decommissioning across all countries. Agile environments (Scrum/SAFe).
- Analysed and designed AI use cases in the architecture domain.
Project: Payment Card Industry Data Security Standards (PCI DSS) Strategic Programme
- Analysed and documented existing data flows across card products and geographic regions to assess PCI DSS compliance.
- Identified areas involving sensitive data at rest and data in motion requiring encryption or masking, ensuring adherence to PCI DSS requirements.
- Collaborated with security, infrastructure, and application teams to align encryption strategies with regulatory and organizational policies.
- Provided strategic advisory services on data strategy, data governance, data management, data quality, data architecture, data mesh, MEGA HOPEX, DAMA-DMBOK, event-driven architecture, end-to-end data flows and card product harmonization models.
- Ensured solution design alignment with regulatory compliance (BCBS 239, DORA, GDPR) and internal policies.
Project: Denmark ATM Outsourcing Project
Objective: Outsource ATM operations and maintenance to a third-party provider while expanding the Denmark ATM fleet, with Nordea retaining ownership of ATMs and cash for the existing and extended infrastructure.
- Led a cross-functional delivery team (project management, business analysis, and architecture) and documented the as-is ATM ecosystem architecture, including end-to-end data flows, integrations, and internal/external application interfaces.
- Designed end-to-end processes for authorization, reconciliation, and settlement, aligning operating model, controls, and compliance requirements across Nordea and the outsourced service provider.
- Produced high-level and low-level solution designs using standardized UML artefacts (Use Case, Component, and Sequence diagrams) to support vendor onboarding, integration planning, and implementation.
- Ensured architectural alignment and decision-making across enterprise stakeholders and third-party providers, managing dependencies and interfaces in the context of the outsourcing initiative.
Santina W.
Last position:
Business Analyst & BI Strategist - Comparison Portal at dataweys (self-employed)
- Assessment of the existing reporting landscape and strategic bundling of needs
- Migration and consolidation of reports to Metabase, connected to ClickHouse as the data foundation
- Building and maintaining data pipelines
Stack: Metabase · ClickHouse · Appsmith · Airflow
Patricia A.
Last position:
Head of Operations at StratifAI GmbH
- Designed, managed, and implemented the company’s operational, compliance, procurement, and financial strategy, ensuring alignment with rapid scaling and regulatory objectives.
- Built and scaled operational infrastructure across IT, HR, Finance, Procurement, and Compliance, supporting growth from 4 to 20 team members in 6 months.
- Oversaw financial management of OPEX, including budgeting, monitoring, and cost optimization to sustain high-growth operations.
- Developed and executed a procurement strategy, including vendor selection, negotiation, and performance oversight.
- Procured and managed external consultants (compliance, quality, regulatory experts) and orchestrated collaboration across internal teams and external partners to meet milestones.
- Implemented policies, SOPs, and business systems (compliance tracking, eQMS, payroll, vendor management, data governance) to support regulatory compliance and scalability.
- Managed and actively oversaw regulatory and compliance programs, embedding GDPR, HIPAA, SOC 2, ISO 27001, and ISO 27701 requirements into day-to-day operations.
- Directed the rollout of a Quality Management System (QMS) aligned with ISO 13485 to prepare for medical device and AI regulatory certifications.
- Led people and culture development, establishing onboarding, performance management, and cross-functional collaboration structures to scale the organization effectively.
- Established risk management and business continuity frameworks, including security controls, risk registers, and compliance safeguards.
- Engaged executive leadership, board, and investors to align operational strategy with corporate goals and market expansion.
- Enabled technology-driven operations, selecting and implementing digital systems (e.g., Drata, Qualio) to ensure compliance and efficiency.
- Scaled StratifAI’s operational backbone to support rapid growth and international market readiness.
- Achieved ISO 27001, ISO 27701, SOC 2, GDPR, and HIPAA compliance within 6 months, enabling enterprise and healthcare partnerships.
- Implemented a QMS system aligned with ISO 13485, paving the way for regulatory approvals and positioning for upcoming ISO 13485 certification, CE-IVDR marking, and FDA clearance within 12 months.
- Designed and executed governance, procurement, and financial controls, ensuring efficient resource allocation and sustainable compliance.
- Established a culture of structured growth, integrating people, processes, and compliance frameworks to maintain operational excellence.
- Enabled StratifAI to confidently enter regulated US and EU markets, building the foundation for long-term expansion.
Bidya B.
Last position:
Global Lead (Product) – Payments Platform (Risk & Data Products) at Chargebee
- Own strategy and roadmap for the payment orchestration and risk intelligence products serving enterprise subscription customers.
- Conduct deep workflow discovery and user interviews to redesign onboarding experience, resulting in 5× funnel throughput and 70% reduction in manual steps.
- Define PRDs for scalable data pipelines, fraud signals, and automation logic, improving insight accuracy and speed of decision-making by 30%.
- Partner with engineering, data, design, and security to ship 15+ enterprise features with 100% successful release quality.
- Introduce risk analytics dashboards and performance KPIs, reducing investigation time by 40% and improving visibility across teams.
- Lead prioritization of new capabilities, tech debt, and security initiatives (PCI DSS, access controls, auditability).
- Lead development of ML-based fraud detection models (regression, decision trees) to identify high-risk transactions, reducing chargebacks by 20%.
- Design end-to-end analytics dashboards (Tableau, Redshift) to visualise global risk exposure, cutting onboarding SLA from 2.4 days to 3 minutes.
- Partner with engineering and data teams to deploy scalable payment risk frameworks, enhancing compliance visibility and decision speed.
- Mentor analysts and data scientists through agile sprint cycles, embedding a data-driven culture across risk operations.
Utku E.
Last position:
AI Strategy Consultant at Freelance
- Developed YourBestChance.io, an AI-powered career resilience platform that leverages advanced machine learning to provide personalized guidance and resources for users.
- Architected and implemented a Retrieval-Augmented Generation (RAG) system supporting three languages, utilizing GPT-based large language models (including OpenAI and Grok variants) integrated with specialized vector databases for efficient semantic search and similarity matching.
- Built an interactive AI chatbot powered by generative AI and RAG pipelines to deliver real-time, context-aware responses and enhance user engagement.
- Optimized data pipelines and AI infrastructure for scalability, ensuring robust performance under increasing loads and reducing latency by 50%.
- Developed comprehensive AI strategies using ML and Gen AI to create customized growth plans; analyzed company data to identify strengths, weaknesses, risks, and opportunities for AI integration.
- Defined ethical frameworks for AI deployment, assessed workforce and leadership upskilling needs, and built phased action plans (short-, mid-, and long-term) with targeted AI integration recommendations.
Rohini A.
Last position:
Senior Product Manager at Zalando
- Product strategy & vision: Led campaign performance reporting platform serving 700+ partners, transformed manual MSTR-based weekly reporting to real-time self-service platform enabling partner autonomy and operational efficiency
- Strategic roadmap management: Led phased migration prioritizing Performance campaigns (70% revenue) ahead of Awareness and Engagement, driving iterative platform evolution aligned with objectives, partner feedback, GDPR compliance, and data retention policies
- User research & customer discovery: Conducted regular user interviews with partners to understand reporting needs, decision-making processes, and additional KPI requirements, translating insights into platform enhancements and feature prioritization
- Cross-functional leadership: Collaborated with Product Consultants, analysts, data engineers, frontend teams, and product marketing to execute seamless platform migration, reducing PC team size by 2 FTEs while improving service quality
- Scaled user adoption: Strategically onboarded partners starting with top 30 partner-program partners, expanding to all 700+ partner-program and wholesale partners through user education documentation, training coordination, and iterative feedback incorporation
- Data-driven product optimization: Implemented Google Analytics tracking and engagement monitoring, identified low-engagement features (report downloads, detailed links), deployed AppCues and re-education campaigns resulting in 40% weekly engagement rate
- KPI standardization & governance: Led cross-functional initiative to standardize KPI definitions and formulas across reports, dashboards, and ZMS platform, defined North Star metrics and essential KPIs for each campaign objective ensuring consistent measurement and decision-making
Emmanuel E.
Last position:
Privacy Compliance Associate (Volunteer) at Word Alive Ministries (Stone Church)
- Maintain internal GDPR documentation and manage data access controls within digital systems.
- Train users on privacy protocols, recordkeeping, and document management standards.
Henryk O.
Last position:
Security Consultant at Daimler AG
- Development of a cloud security strategy
- Implementation of cloud security governance to comply with ISO/IEC 27017 and the CSA CCM
- Creation of a management system to control cloud security with a focus on process design as well as roles and responsibilities
- Definition of security measures to safeguard cloud solutions
- Conducting requirements analyses and defining the scope for cloud security projects
- Achievements: Established an effective NIS2-compliant cloud security governance that meets industry-specific requirements and effectively minimizes cloud security risks
Ammad T.
Last position:
Senior Data Architect at Makerverse
- Designed and implemented the company's end-to-end data architecture, including ingestion, modeling, and BI layers.
- Developed modular and reusable dbt models to support product, finance, and marketing analytics.
- Introduced data governance practices and metadata management, improving trust and discoverability across teams.
Discover over 15,000 top freelancers
Statistics of experts using Data Governance
Aggregated from the professional profiles of matched freelancers.
Experience
17 years (Germany: 19 years)
Position duration
1.9 years (Germany: 2.9 years)
Positions per freelancer
11
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Information Technology, Professional Services, Banking and Finance
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
100% (Germany: 98%)
Master's degree or higher
80% (Germany: 63%)
Doctorate
10% (Germany: 12%)
Certifications per freelancer
5 (Germany: 4)
Most common languages
English, German, Spanish
Speak two or more languages
90% (Germany: 98%)
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 Berlin 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 Berlin 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 (90%)
- Professional Services (60%)
- Banking and Finance (50%)
- Retail (50%)
- Automotive (40%)
- Education (40%)
- Media and Entertainment (40%)
- Energy (30%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What it covers
Data Governance is the system of roles, policies, standards and controls that keeps data trustworthy and usable. It defines who owns data, how it is classified, where it may be used and how quality is maintained. Companies apply it across analytics, reporting, artificial intelligence and operational systems.
Core outcomes
A well-designed governance model creates clear accountability from source systems to business use. It supports consistent definitions, reliable reporting, controlled access and traceable decisions. Strong governance also helps teams manage retention, consent, sensitive information and regulatory obligations without blocking practical data use.
Ecosystem and tooling
Professionals work across business and technical environments rather than inside one product. Common areas include:
- Data catalogues, business glossaries and metadata management
- Data quality rules, monitoring and issue workflows
- Lineage, master data and reference data management
- Identity, access control, classification and privacy tooling
- Cloud data platforms, warehouses, lakehouses and integration pipelines
When companies need specialists
Freelance expertise is useful when governance must become operational quickly or when ownership is unclear across departments. Typical assignments include setting up a governance operating model, assessing data maturity, defining critical data elements and connecting policy to daily workflows. In Berlin, specialists may support organisations with distributed teams, regulated information and hybrid collaboration across German and international offices.
Relevant skills
Strong professionals combine data management with communication and change work. They understand information security, privacy, records management, data architecture, analytics and integration patterns. They can translate business definitions into implementable rules, choose suitable tooling and create documentation that teams will actually use.
Signs of quality
Look for evidence that a specialist has made governance measurable and adopted, not merely documented. Useful signals include:
- Clear ownership models tied to business processes
- Practical quality rules with accountable issue resolution
- Traceable lineage from source to report or model
- Access and classification controls aligned with risk
- Training, stewardship routines and adoption plans
A strong professional asks how data is created, changed and consumed before proposing a framework. They distinguish governance from simple access administration and adapt the approach to the organisation’s architecture, risk profile and working culture.
Frequently asked questions
Questions about Data Governance? Start with the answers below.
Data Governance is used to define how an organisation manages data throughout its lifecycle. It establishes ownership, quality expectations, access rules, metadata, lineage and accountability so teams can use data with greater confidence.
Data Governance sets the decision rights, policies and standards that guide data management. Data management performs the operational work, such as storing, integrating, securing and analysing data, while governance defines what good practice means and who is responsible.
Data Governance work often depends on data quality, metadata management, master data, privacy, information security and data architecture. Experience with catalogues, lineage, cloud platforms, warehouses and change management is also valuable.
Data Governance projects need different levels of expertise depending on their scope and starting point. A focused catalogue or quality initiative may need a specialist for a defined delivery phase, while an enterprise-wide operating model requires experience with stakeholders, policy adoption and sustained stewardship.
Data Governance is often suitable for remote collaboration because much of the work involves workshops, documentation, process design and tooling configuration. On-site sessions can still help when specialists must align business owners across departments or facilitate sensitive decisions.
Data Governance specialists should be able to show how they turned policies into ownership models, quality controls and repeatable workflows. Ask for examples of stakeholder alignment, measurable issue resolution and governance practices that remained useful after the engagement ended.
Data Governance can involve data catalogues, business glossaries, lineage services, quality platforms, master data tools and access-control systems. The right combination depends on the organisation’s cloud or on-premises environment, data architecture and existing processes.
Data Governance succeeds when responsibilities are clear, policies are practical and teams use them in everyday work. Effective programmes connect business priorities with technical controls, provide visible ownership and create a reliable way to resolve quality, access and definition issues.
The average hourly rate of freelancers in Berlin, Germany who have used Data Governance in their recent projects is 97 €, which corresponds to a daily rate of about 773 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used Data Governance in their recent projects, 100% hold at least a Bachelor's degree, 80% hold at least a Master's degree, and 10% hold a doctorate.
On average, freelancers in Berlin, Germany who have used Data Governance in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Berlin, Germany who have used Data Governance in their recent projects are English (100%), German (70%), and Spanish (20%).
The most common industries among freelancers in Berlin, Germany who have used Data Governance in their recent projects are Information Technology (90%), Professional Services (60%), and Banking and Finance (50%).
The most common business areas among freelancers in Berlin, Germany who have used Data Governance in their recent projects are Information Technology (100%), Business Intelligence (80%), and Project Management (70%).
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.
Hamburg 
Munich 
Cologne 
Frankfurt 
Dusseldorf 
Essen 
Nuremberg Countries:
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