Data Governance Experts
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Meet FRATCH Experts who have recently used Data Governance
Khalid El Mansouri
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.
Alwin G.
Last position:
IT Interim Manager & AI Strategist
- AI product development: Design of an AI-supported GRC platform to automate compliance processes.
- AI expertise: Strategic deepening in Agentic AI and GenAI as a core asset for modern IT governance
- IT interim management and strategic consulting
Jens Henneberg
Last position:
Interim CTO (occasional assignments) at Fujitsu / FSAS
Stabilizing 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
Henry Hanau
Last position:
Interim Manager IT-Compliance at Int. Fertigungsunternehmen
- Industry: mechanical engineering, vehicle manufacturing
- Regulations: Data Act
- Project focus: data governance, legally compliant use of machine data, data platforms
- Assigned by: CFO, platform product owner
Successes/Results (early phase):
- Compliance support for the setup of an internal standardized data usage platform based on Databricks.
- Created the basis for the legally compliant and effective use of machine data, including:
- Technical: gap analysis and closing of gaps in the segmentation and maintenance of collected machine data.
- Technical: consideration of data flows from the platform to users and third parties.
- Organizational: drafting and finalizing the required data usage agreements.
Peter Sachs-Witzel
Last position:
Project Manager for SAP GTS Trade Services, edition for SAP 4/HANA at ETENGO AG
- Creation of detailed concepts for all relevant GTS modules (compliance, pricing, customs clearance, Intrastat, preferences)
- Planning and conducting workshops, including scheduling and documentation
- Development and consulting of the organisational structure and its master data
- Setup and customisation of compliance functions: sanctions list review, embargo, legal control, US re-export
- Uploading and maintaining sanction and commodity lists
- Implementation and validation of integration tests
- Setup and customisation of the modules: pricing (including uploading of customs tariff numbers and STAWN data), customs clearance (including application for test operation with customs), Intrastat and preferences (including preference calculation and LLEs)
- Development and presentation of prototypes
- Derivation of insights for the final concept
Florian Ripper
Last position:
Global Programme Lead, Ecosystem Separation at Merck Group
Electronics – Surface Solutions | Carve-out of IT, data and system landscape*
Separation of a full business division's IT, data and system landscape following divestment; centrally governed investment envelope in the three-digit m€ range
Laboratory notebook and laboratory analytics platform stream: Palantir Foundry, Snowflake, Signals Notebook, Power BI and connected laboratory instrumentation; site transition completed without interruption to laboratory operations
Decision authority and escalation point for business, IT infrastructure, IT security and vendors; separation executed across globally distributed users and systems, handed over on schedule
Franz Bauer
Last position:
Product Development (AI) at Own initiative
AI telephone assistant platform
Claude Code, Google AI Studio, Python, LLM / Voice-AI, PostgreSQL
- Conception and hands-on development of an AI-supported telephone assistant platform (voice AI / LLM) – from idea and architecture to MVP/product.
- Built agentic workflows and full automations with Claude Code and Google AI Studio.
- Also delivered AI-supported work in client engagements: used Claude Code for governance documentation, requirement drafts, and automations.
Abhishek Sharma
Last position:
Business Process Manager / SAP FICO Owner at Dynapac GmbH
- Defined S/4HANA finance solution architecture and led full project lifecycle — Blueprint through Hypercare — for global rollout.
- Designed global finance templates and COPA characteristics, harmonizing financial reporting across business units.
- Implemented role-based authorizations, SOD controls, and master data governance; managed provisioning and training for 200+ users.
- Coordinated cross-module integrations (MM, SD, PP) and third-party systems (Salesforce, SAP DRC, E-Invoicing), reducing month-end close from 5 days to 2 days.
- Prepared functional specifications, supported ABAP development, and drove problem management practices that reduced recurring incidents.
Wolfgang Orgler
Last position:
Business Analyst at Österreichische Post AG
IT systems: Azure DevOps, SharePoint, Opal/Repost, JustinMind, Monday, SAP
Analysis of requirements for branch software
Coordination of intercultural teams
Partly agile project organization
Master data management / DMS
UI/UX design and mockup creation
Requirements documentation
Digitalization of signatures
Stakeholder management and workshop facilitation
Billing/bank transfer
Business analysis / requirements engineering
Waseem Sattar
Last position:
Solution Architect / Subject Matter Expert at FRMCS terminal device manufacturer
Participation in the EU-funded MORANE-2 project to validate the Future Railway Mobile Communication System (FRMCS) in real-life use cases: creation of the requirement specifications for TOBA as well as the associated test specifications.
Technologies: 5GS (Radio & Core), FRMCS, MCx (MCPTT, MCData, MCVideo), MC Gateway UE, MCx Priority/Security/QoS Management, ETCS, SIP, IMS
Ralph Strobel
Last position:
Head of Business Excellence at Family-owned company
Process architect and transformation driver for company-wide excellence initiatives (interim cover) Set-up and management of a company-wide process and governance framework to strengthen structure, leadership and effectiveness in an internationally growing family-owned company. Responsibility for the global process house, end-to-end governance, the process role architecture and the further development of the integrated management system - including international implementation (Romania, USA).
Scope:
- Lead the Business Excellence department with 6 employees and functional leadership of 20+ process owners
- Build a global process operating system (architecture, roles, governance, global-local logic)
- Develop a group-wide control and KPI system for processes (transparency, KPIs, maturity)
- Introduce mechanisms for effectiveness in day-to-day business (role enablement, communities, feedback)
- Governance and role framework for new production sites in Romania and the USA (mandates, roles, decision logic)
- Stabilisation and further development of the integrated management system (IMS)
Sustainable results:
- Global process operating system established - structure, roles, governance and global-local rules defined as a binding framework and anchored in the management system — basis for consistent steering and scalability.
- End-to-end process ownership strengthened - process owner roles globally defined, qualified and anchored in communities of practice — for the first time clear ownership structures across all sites.
- KPI and control logic for processes built - unified KPI system, maturity model and reporting principles developed — basis for fact-based decisions, prioritisation and transparency across the company.
- Effectiveness in day-to-day business increased - enablement architecture, onboarding mechanisms, regular meeting formats and feedback loops introduced — process system is used in daily work and continuously improved.
- Governance framework for new site implemented - mandates, roles, decision paths and escalation logic for the new production site in Romania developed — clear structure for set-up, steering and integration.
Henning Uiterwyk
Last position:
Senior Expert Data Governance, Master Data Quality and Data Migration at E.ON
- Planning and implementation of a migration strategy for master and transaction data for the continuous loading of a cloud-independent database
- Creation and pilot implementation of a company-wide Business Data Model for customers, suppliers, contracts, products, prices, consumption, invoices, and dunning
- Concept and consulting for a Data Governance Framework incl. definition of committees, roles, processes, and metadata model
- Operationalization of the Data Governance Framework with definition of data standards
- Sub-project management in two pilot projects (PoCs) for Data Governance systems (ErwinDIS and Atlan)
- Training and coaching the data team in migration, data quality, and data modeling
Umut Gülac
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.
Christian Frauer
Last position:
Department Head (Interim) at Municipal utility and transport company
- Definition and setup of the subject areas
- Building a governance model for the department with the areas of responsibility
- IT strategy, project management, process management, and quality and sustainability management
- Developing a communication strategy for the group
- Creating an IT strategy
- Designing templates, guidelines, and processes for standardized work
- Capturing strategic guardrails and grouping ongoing projects – deriving a roadmap for strategic planning
- Reviewing ongoing projects
- Creating staffing and capacity calculations
- Defining job profiles
Daryoosh Dehestani
Last position:
FP&A Data & AI Architect at Epta Group
Scope: Embedded as FP&A Data & AI Architect within the Finance function of a major European refrigeration manufacturer, leading the transformation of manual, fragmented financial reporting into an automated, governance-driven intelligence platform. Driving the shift from Excel-based controlling to structured data architecture, Power BI analytics, and AI-assisted financial operations.
Financial Data Integrity & ERP Governance
- Initiated and led GL vs. subledger reconciliation investigations, identifying and resolving structural mismatches between General Ledger and subledger data that had gone undetected prior to engagement
- Conducted asset analysis to identify items missing from General Ledger postings, surfacing gaps in fixed asset tracking and period-end completeness
- Validated SAP reports, establishing baseline data quality standards for Finance team consumption
- Established systematic SAP data validation framework ensuring ongoing integrity between ERP postings and downstream reporting outputs
Finance Reporting Transformation
- Designed and implemented a structured Transformation Project approach for converting manual Finance reports into fully automated processes
- Created and owns the Data Reporting Audit Log; a centralized tracking system capturing report owners, stakeholders, data sources, manual effort estimates, and automation opportunity scores across the Finance function
- Mapped the full reporting landscape identifying quick-win automation targets and strategic Power BI migration candidates
- Actively reducing manual Excel and PowerPoint dependency across FP&A workflows; replacing point-in-time snapshots with live, governed data models
Power BI & Analytics Enablement
- Introduced and presented Power BI as the strategic reporting platform to Finance leadership, building internal buy-in for the BI transformation roadmap
- Designed initial Power BI architecture aligned with SAP, Salesforce and Oracle data structures and FP&A reporting requirements
- Established report ownership, governance documentation, and data lineage standards enabling sustainable self-service analytics across the Finance team
Transformation Infrastructure & Collaboration
- Configured and deployed Jira as the transformation project management hub, establishing structured sprint workflows, backlog management, and progress visibility for Finance IT initiatives
- Proposed and initiated a dedicated FP&A Communication & Transformation Hub, a structured cross-functional forum aligning Finance, IT, and business stakeholders around the reporting transformation roadmap
- Positioned the Finance function as an active driver of data governance and digital transformation within the broader organization
Outcomes
- GL/subledger reconciliation gaps identified and investigation framework established within first two weeks of engagement
- Data Reporting Audit Log deployed; first structured inventory of Finance reporting landscape in company history
- Power BI transformation roadmap presented and approved by Finance leadership
- Jira-based project governance live; Finance transformation now tracked with full sprint visibility
Technologies: SAP FI/CO · Power BI · DAX · SQL · Excel (advanced) · Power Query (M) · Power Automate · VBA · Jira · Microsoft 365 · SharePoint · Salesforce (Sales Data) · Oracle HCM · Python
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
2.9 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
98%
Master's degree or higher
61%
Doctorate
11%
Certifications per freelancer
4
Most common languages
English, German, French
Speak two or more languages
97%
Based on our profile pool as of 6 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology 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 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 6 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Data control
Data governance sets the rules for how data is owned, defined, stored, used, and shared across a company. It gives teams one way to manage quality, access, and accountability. Strong governance turns scattered data into something people can trust.
What experts do
- Define data ownership and stewardship
- Create policies for access, retention, and classification
- Align business terms with data definitions
- Support data quality and issue resolution
- Document lineage, metadata, and controls
Common stack
Data governance work often sits around tools for cataloging, lineage, quality rules, and policy enforcement. Experts may work with Collibra, Alation, Informatica, Microsoft Purview, Apache Atlas, or built-in governance features in cloud data platforms. The right setup depends on the data estate and operating model.
When to bring in help
Companies bring in freelance specialists when governance needs to start fast, mature after a merger, or catch up with growth. They also help when reporting is inconsistent, data owners are unclear, or compliance teams need better traceability. A short engagement can define the model and leave a clear rollout plan.
What strong specialists deliver
Good professionals connect business language with technical controls. They know how to work with stewards, analysts, security teams, and platform owners without adding friction. They produce practical rules, not heavy documents that nobody uses.
Why it matters
Data governance supports better analytics, smoother audits, and fewer arguments over what a metric means. It also reduces risk when teams share sensitive data across systems and regions. The best work is visible in everyday decisions, not just in policy files.
Frequently asked questions
Curious about Data Governance? Here are the answers that come up again and again.
Data Governance is used to define who owns data, how it is described, and who may use it. It helps teams keep reports consistent, protect sensitive information, and make decisions from trusted data. Without it, the same field can mean different things in different systems.
Data Governance sets the rules and accountability model; data management carries out the operational work. Master data management focuses on creating consistent records for core entities such as customers or products. In practice, governance sits above both and gives them shared definitions and controls.
Data Governance often uses data catalogs, lineage tools, quality checks, policy engines, and stewardship workflows. Common names in this space include Collibra, Alation, Informatica, Microsoft Purview, and Apache Atlas. The best choice depends on whether the focus is discovery, compliance, quality, or operating model.
A strong Data Governance specialist usually understands data architecture, metadata, privacy, security, and analytics workflows. Business analysis is also important because governance only works when business terms and technical definitions match. Writing clear policies is helpful too, but only if they stay practical.
A Data Governance project can start with one experienced specialist if the scope is clear. Larger programs need people who can handle policy design, stakeholder alignment, and tool setup at the same time. The real test is whether the person has turned theory into working rules before.
Yes, Data Governance can work very well with remote specialists because much of the work happens in workshops, reviews, and documentation. On-site time can help when governance touches many business teams or when a company needs deeper stakeholder alignment. The key is regular access to data owners and decision-makers.
Look for a Data Governance specialist who can explain ownership, definitions, controls, and adoption in plain language. Ask for examples of policies, operating models, glossary work, or stewardship processes they have shaped. Strong candidates focus on outcomes, not just on tool names.
A Data Governance need often shows up when reports disagree, no one knows who owns a dataset, or sensitive data is handled differently across teams. It also appears when metadata is incomplete or when audits take too long because evidence is hard to find. Those are signs the rules exist only in theory.
The average hourly rate of freelancers who have used Data Governance in their recent projects is 111 €, which corresponds to a daily rate of about 887 € based on an 8-hour working day.
Of the freelancers who have used Data Governance in their recent projects, 98% hold at least a Bachelor's degree, 61% hold at least a Master's degree, and 11% 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 2.9 years.
The most common languages among freelancers who have used Data Governance in their recent projects are English (97%), German (96%), and French (21%).
The most common industries among freelancers who have used Data Governance in their recent projects are Information Technology (84%), Professional Services (55%), and Banking and Finance (45%).
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 (73%).
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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FRATCH CEO
