
Data Governance Experts
to turn complex data into trusted business assets with fast, precise AI matchingWork with specialists who define data ownership, build quality controls, and connect governance with metadata catalogs, master data management, and privacy processes. FRATCH matches you quickly with vetted, available freelancers who fit your project.
Meet FRATCH Experts who have recently used Data Governance
Alwin G.
Last position:
IT Interim Manager & AI Strategist
- Founder of CheironX: AI-supported GRC management (ISO 27001, BSI IT-Grundschutz, TISAX, DORA)
- Strategic focus on Agentic AI and GenAI for modern IT Governance, Risk & Compliance Management
- IT interim management and strategic consulting
Franz B.
Last position:
Product Development (AI) at Self-initiated
AI phone assistant platform
Claude Code, Google AI Studio, Python, LLM / Voice-AI, PostgreSQL
- Designed and hands-on developed an AI-powered phone assistant platform (Voice-AI / LLM)—from idea and architecture through to MVP/product.
- Built agentic workflows and end-to-end automations with Claude Code and Google AI Studio.
- Also supported AI-powered delivery in client engagements: using Claude Code for governance documentation, requirements drafts, and automations.
Florian R.
Last position:
Global Program Lead, Post-Acquisition Integration at [Client confidential]
Medical technology – Digital Technology | Medical imaging
- Integrated the acquired platform into clinical medical imaging processes, with an investment volume in the low double-digit m€ range
- Ensured interoperability of systems and processes across hospitals and outpatient facilities while customer operations continued; HL7, DICOM, Amazon S3 & Redshift, SharePoint, JIRA
- Led the programme across functions with product, technology and service teams, including cost control, synergy tracking and identification of further AI use cases in medical imaging
Vladimir E.
Last position:
Technical Project Manager / Freelancer at Deutsche Bank
- Engaged within the Information and Security Management division for a Proof of Concept (PoC) project focused on developing a Client Security Portal.
- Managed project resources across the UK, India, and Germany.
- Architected and deployed the PoC solution leveraging a modern Java stack, Google Cloud Platform (GCP) with Kubernetes, and Active Directory (Entra ID) for authentication.
- Implemented OAuth 2.0 for authorization.
- Ensured DORA alignment according to Deutsche Bank security rules and regulatory preparation.
Oliver V.
Last position:
Interim Manager and Management Consultant at Self-employed
- Developed a market entry strategy for the claims division of an insurance services provider.
- Analyzed and optimized existing claims processes.
- Defined management metrics and KPIs to improve performance and efficiency.
- Advised management on market positioning and process digitalization.
- Led an IT team of 13 employees as part of an interim vacancy cover.
- Ensured stable IT operations and managed external IT service providers.
- Led regulatory projects, particularly the implementation of the DORA regulation.
- Prepared and supported an IT security audit.
- Change management and conflict moderation in a challenging transformation environment (FI migration).
Amit S.
Last position:
IT Project Manager – SAP S/4 HANA Delivery Consultant at CHG Meridian UK Limited
- Managed the integrated SAP S/4HANA delivery plan for 12 BTS workstreams, including milestone, dependency, and governance management.
- Coordinated end-to-end delivery across Business, IT, and Operations, focusing on execution, readiness, and issue resolution.
- Responsible for RAID, test, cutover, and deployment management to ensure a successful go-live.
- Implemented KPI tracking, status reporting, and PMO governance to provide transparent management of performance, risks, and escalations.
Yulia V.
Last position:
Independent Advisor - Strategy, Transformation & AI at JV Advisory
Independent advisory practice for strategy, organisational transformation, M&A / investor work and AI/data-enabled change.
- Short-term diagnostic and problem-solving mandates: rapid strategic and organisational assessments for leadership teams and Boards, translated into recommendations and transformation roadmaps.
- Organisational redesign and AI governance for an international group of approximately 1,500 employees: structure, mandates, decision rights and interfaces; AI-readiness and data-maturity assessment; vendor evaluation and selection; capability building.
- Design of a centralised Strategy Execution / Results Delivery Office for an industrial client: mandate, governance, portfolio steering, KPI logic, decision forums and implementation roadmap.
- Selected part-time mandate with SPARS GmbH (as a Business Development and Investments Director): developed M&A pipelines, assessed targets for strategic fit and synergy potential, led commercial due-diligence workstreams and investor / partner engagement.
Fred K.
Last position:
Project Manager Digital Restructuring at Northrop Grumman LITEF GmbH
Assignment focus: Leading digital restructuring in a highly regulated Defence and Aerospace environment. Focus areas: improving data flows and data quality, introducing paperless data collection in production, integrating machine data for automatic SPC calculation and process control, as well as cybersecurity analyses.
Main objectives:
- Analyze, structure and improve data flows and data quality in production
- Introduce paperless data collection in manufacturing areas
- Integrate machine data for automatic SPC data calculation and process control
- Implement digital restructuring while meeting regulatory requirements in the Defence environment
Measures and results:
- Analyzed and structured existing production data flows as a basis for control and reporting
- Established mechanisms to ensure data quality and availability across manufacturing areas
- Introduced paperless data collection in production — replacing manual and paper-based processes
- Integrated machine data for automatic SPC data calculation (control charts, Cp/Cpk) and real-time process control
- Conducted cybersecurity analyses in the production and IT environments
Area of responsibility: Project management for digital restructuring, paperless production, data management and data quality in a highly regulated Defence and Aerospace environment.
Jan F.
Last position:
Business Epic Owner – Central Master Data for Business Customers at Telco Group (B2B / Enterprise IT Services)
Overall business responsibility for a program-wide initiative to create a central, authoritative data foundation for business customer master data (contacts and locations) within an IT service management transformation program.
- Managed the Epic portfolio from exploration through launch; prioritization and quarterly planning in a SAFe environment
- Aligned business units, architecture, and IT delivery around a shared vision and clear rules for data ownership (Data Governance)
- Prepared and secured scope and key decisions with program leadership, including deliberate descoping
- Managed risks, dependencies, and escalations; reported to program leadership and the PMO
- Developed the 2027 roadmap as a basis for budget and portfolio planning
Result: a clear MVP scope, key decisions made, and a 2027 roadmap. The program continued after handover without any loss of knowledge.
Henok M.
Last position:
Electrician Specialist for Predefined Work (Dt: EFfT) at WBS Trainings
- Fundamentals of electronics measurement, electropneumatic circuits & protective measures according to DIN-VDE
- Installation, wiring and commissioning of PLC-controlled Systems
Umut G.
Last position:
Data Architect at BA Technology
I am an experienced data engineer specializing in end‑to‑end data integration, cloud DWH architectures, and high‑quality, governed data products.
I delivered following projects and engagements as a freelancer.
- Data Migration of CRM System for AL-FA Objekt Service Gmbh
- Microsoft Software Resales Partnership
I am looking for freelance roles like: Freelance Data Engineer Cloud Data Warehouse Architect Data Modeling & Architecture Consultant MDM & Data Governance Specialist BI & Analytics Developer
Technical Focus Areas
- Data Engineering & Integration: SQL Server/SSIS, Informatica PowerCenter/IDQ, Talend, Kafka, Azure Data Factory – Delta/CDC/ELT patterns, robust pipelines, monitoring/recovery, data lineage & impact analysis, medallion architecture Bronze/Silver/Gold layers
- DWH & Cloud: Azure SQL / Data Lake / Synapse, AWS Redshift/S3, on‑prem SQL/Oracle – scalable data marts with a strong cost/benefit focus.
- Data Modeling: Atomic (Inmon) and Dimensional (Kimball), Data Vault (Linstedt), Domain‑Driven Design, clear lineage & contracts.
- MDM & Governance: Informatica MDM, IBM MDM, stewardship processes, data quality rules, survivorship/XREF, catalog/glossary, SIF/BES/REST publication.
- Analytics/BI: Power BI, SSAS, Cognos – business‑ready, maintainable data products.
Waseem S.
Last position:
Solution Architect / Subject Matter Expert at FRMCS Device Manufacturer
Participation in the EU-funded MORANE-2 project to validate the Future Railway Mobile Communication System (FRMCS) in real-world use cases: preparation of the requirements specifications for TOBA and the associated test specifications.
Technologies: 5GS (Radio & Core), FRMCS, MCx (MCPTT, MCData, MCVideo), MC Gateway UE, MCx Priority/Security/QoS Management, ETCS, SIP, IMS
Khalid E.
Last position:
Lead Architect & Developer at kem-consulting
Development of an agent-based governance platform for the automated assurance of EU AI Act compliance and ODA-compliant orchestration of AI services in complex enterprise environments.
Design and implementation of an agent-based "Mission Control" framework (Aletheia Conductor) for autonomous state monitoring and process control.
Development of "Compliance-as-Code" (CaC) solutions based on OPA/Rego for system-wide enforcement of regulatory guardrails.
Integration of TM Forum ODA standards (TMF630, TMF622, TMF642) to ensure interoperability and standardization.
Building a highly available event-driven architecture using Redpanda and CloudEvents v1.0 for near-real-time event processing.
Implementation of an audit-proof "Evidence Chain" through cryptographic linking of trace logs in preparation for automated audits.
Tech Stack: Java 21 (Quarkus Native), TypeScript (Next.js), Redpanda (Kafka API), CloudEvents v1.0, OPA (Open Policy Agent) & Rego, TimescaleDB, ZincSearch, Redis, TM Forum ODA, Git, GitHub, Clean Code Development, Like-C4.
Julia K.
Last position:
IT Project Manager Interface Implementation at SSI Schäfer GmbH & Co. KG
Objective: Consulting in IT project management for interface management, with the aim of driving the structural transformation toward global systems in the cloud
Activities:
- Process design in the source system: Analyzing and developing processes for the efficient provision of data from source systems
- Data definition: Precisely defining the data records to be transferred and ensuring data quality
- Process design in the target system: Designing and developing processing processes within the target systems
- Technical consulting for the IT implementation team within an iPaaS system
- Quality assurance: Planning, leading and documenting User Acceptance Tests (UAT) to ensure the functional requirements
- Project completion & handover: Formal handover of the implemented interfaces, including complete technical documentation, to IT operations
Tools: Jira, Confluence, Office 365
Jens H.
Last position:
Interim CTO (occasional assignments) at Fujitsu / FSAS
Stabilization of an Azure/.NET landscape in live operation.
- Architecture, DevOps, and operational readiness; technical decisions under time pressure
- Azure DevOps, monitoring, ETL/ELT, cloud security, FinOps, and data-mesh-related topics
Technologies: Azure DevOps, .NET, CI/CD, monitoring, FinOps
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
3 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
97%
Master's degree or higher
62%
Doctorate
13%

Certifications per freelancer
4

Most common languages
English, German, French

Speak two or more languages
98%
Based on our profile pool as of 5 Nov 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology 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 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 5 Nov 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 (83%)
- Professional Services (51%)
- Banking and Finance (49%)
- Manufacturing (42%)
- Automotive (37%)
- Retail (35%)
- Energy (33%)
- Healthcare (28%)
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 reliable, understandable, secure, and usable across an organization. It defines who owns data, how teams describe it, which rules apply, and how quality is monitored. The work connects business priorities with technical controls rather than treating data as an unmanaged by-product.
Core Deliverables
Governance specialists turn principles into operating processes and practical documentation. Typical deliverables include:
- Data ownership and stewardship models
- Business glossaries and data dictionaries
- Data quality rules, issue workflows, and scorecards
- Access, retention, classification, and usage policies
- Governance councils, decision rights, and escalation paths
Ecosystem and Tooling
Data Governance often works alongside metadata management, data catalogs, master data management, lineage, and privacy tooling. Professionals may configure platforms such as Collibra, Alation, Informatica, Microsoft Purview, or Atlan, while connecting them to warehouses, lakes, databases, BI tools, and identity systems. Strong delivery also requires SQL, reporting, workflow design, and change management.
When Companies Need It
Companies bring in freelance expertise when data ownership is unclear, reporting definitions conflict, or a major migration exposes hidden quality problems. Governance becomes especially important during cloud adoption, analytics expansion, mergers, regulatory reviews, and the rollout of self-service data products. External specialists can establish a workable model without slowing daily operations.
What Strong Specialists Do
Effective professionals start with business-critical data and measurable decisions, not abstract policy documents. They interview domain owners, map key data flows, define terms in language teams use, and set controls that can be maintained. They also explain trade-offs clearly, secure executive support, and make stewardship part of normal workflows.
Selecting the Right Expertise
Assess whether a professional has governed data across the systems and operating model relevant to your company. Ask for examples of ownership models, catalog adoption, quality remediation, lineage work, and policy implementation. Experience with privacy, security, MDM, cloud data platforms, and stakeholder training is valuable when the assignment crosses team boundaries. Remote work suits documentation and platform configuration; workshops and operating-model decisions may benefit from scheduled on-site collaboration.
Frequently asked questions
Curious about Data Governance? Here are the answers that come up again and again.
Data Governance helps organizations define data ownership, common definitions, quality expectations, access rules, and lifecycle controls. It makes data easier to find, interpret, protect, and reuse across reporting, analytics, operations, and AI initiatives.
Data Governance sets the decisions, responsibilities, policies, and standards that guide data management. Data management applies those decisions through architecture, integration, storage, quality operations, security, and platform administration.
A strong Data Governance specialist often understands metadata catalogs, data lineage, master data management, data quality, privacy, information security, and cloud data platforms. SQL, business analysis, facilitation, and change management are also useful for turning policy into daily practice.
A focused glossary or policy assignment may suit a specialist with experience in a defined data domain. A company-wide Data Governance operating model needs someone who has handled cross-functional ownership, executive alignment, quality remediation, and adoption across several systems.
Data Governance is well suited to remote delivery for interviews, documentation, catalog configuration, policy design, and quality workshops. On-site sessions can still help when teams need intensive alignment on ownership, sensitive data, or operating-model changes.
Professionals may work with Data Governance platforms such as Collibra, Alation, Informatica, Microsoft Purview, or Atlan. The right choice depends on metadata depth, lineage needs, workflow support, integrations, security requirements, and how easily business users can adopt the tool.
Look for clear examples of ownership models, business glossaries, data quality controls, lineage, and policy adoption. A capable Data Governance professional links each deliverable to a business decision and explains how responsibilities will remain active after the engagement ends.
The main challenge in Data Governance is aligning teams that use the same data for different purposes and may follow different definitions. Successful work balances central standards with domain ownership, connects governance to existing workflows, and gains support without creating unnecessary approval steps.
The average hourly rate of freelancers who have used Data Governance in their recent projects is 110 €, which corresponds to a daily rate of about 878 € based on an 8-hour working day.
Of the freelancers who have used Data Governance in their recent projects, 97% hold at least a Bachelor's degree, 62% hold at least a Master's degree, and 13% hold a doctorate.
On average, freelancers who have used Data Governance in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 3 years.
The most common languages among freelancers who have used Data Governance in their recent projects are English (98%), German (97%), and French (23%).
The most common industries among freelancers who have used Data Governance in their recent projects are Information Technology (83%), Professional Services (51%), and Banking and Finance (49%).
The most common business areas among freelancers who have used Data Governance in their recent projects are Information Technology (97%), Business Intelligence (76%), and Project Management (74%).
Main locations of FRATCH Experts, who have recently used Data Governance
Our freelancers and interim experts are at home all over Germany — available on-site in Berlin, Hamburg, Munich and every major business hub, or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
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