Master Data Management Expert
in minutes with vetted, available specialistsHire experts who shape master data models, governance rules, and golden records across ERP, CRM, and analytics systems. Get fast, precise matching with vetted, available specialists who know MDM, data quality, and integration work.
Meet FRATCH Experts who have recently used Master Data Management
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
Wolfgang Orgler
Last position:
Business Analyst at DekaBank
Lead Business Analyst – Analysis and optimization of private banking processes
Responsibility for the business analysis and further development of business processes in private banking, with a focus on CRM, customer data management, and master data processes
Carrying out a comprehensive business process analysis to identify optimization potential, business gaps, and improvement opportunities along the customer lifecycle
Gathering, analyzing, and structuring business requirements in close cooperation with business units, management, IT architecture, and development teams
Creating and aligning business concepts, process models, user stories, and requirement documentation as the basis for technical implementation
Analyzing and optimizing existing master data processes with a focus on data quality, responsibilities, and efficient data maintenance
Designing and further developing CRM customer data processes while taking regulatory requirements and business goals into account
Planning and moderating workshops with business, IT, and stakeholders for requirements analysis, process design, and solution finding
Managing requirements and ensuring consistent communication between business and IT
Using AI-supported analysis tools to help with requirements analysis, structuring information, and improving documentation quality
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 GĂĽlac
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.
Michael Rosens
Last position:
Project Manager at Payone GmbH (Worldline AG)
- Goal/Motivation: PAYONE urgently needs a 360° view of its customers. So far, PAYONE has no overall master data strategy. It is not possible to identify customers across all relevant systems.
The organization is to be enabled to identify customers across all relevant systems. Creating the foundation for master data management at PAYONE
- Challenge: Due to acquisitions, the system landscape is very heterogeneous. The company is very dynamic and burdened with many system harmonization and integration projects, so resource bottlenecks and changes in project priorities are again and again almost impossible to handle.
Due to BaFin findings, the project has a central task and role. The first focus is on migrating all customers from the master-data-leading backend systems with their AML/KYC data to Salesforce. This is intended to resolve one of the largest findings and establish the corresponding ODD/EDD processes.
In addition, customer data must be harmonized in Salesforce. Previous migrations led in some cases to duplicate customer records. In the end, only one customer should be maintained in Salesforce and, with the corresponding information from the backend systems, it should also be possible to recognize which products and in which processing systems the customer uses Payone services.
Project: ONE Customer
Budget: €1.5 million
Team: 10/30 employees (full-time/part-time); 4 vendors/providers
Integration: 8 (subsystems/interfaces)
Applications: Salesforce; SAP S4/HANA; custom developments
Tools: MS Office; Jira, Confluence, SharePoint
Methods: Hands-on; Agile (SAFe); Prince2
Gerhard Kolar
Last position:
Senior Project Manager and Construction Manager at HENSOLDT Optronics GmbH
- Building the data center in Oberkochen (defense area)
- Planning the fiber optic ring, simulation of Wi-Fi coverage
- Cable routing plan for WAN and LAN cables for office and production (infrastructure)
- Adaptation of the SAP system (R3) for the Oberkochen site (software)
- IT transformation of the SAP system to SAP HANA
- Planning network infrastructure and server technologies in the SAP environment
- Pré-sales support and setting up change management
- Independent coordination of utilities according to time, budget and quality
- Mapping the project in MS Project and SERVICENow
- Development and design of hardware and software
- Demand management and portfolio management
- Building a risk register and migration plan
- Preparation of payment-supporting documents in coordination with the responsible finance and commercial functions
- Budget: 5 Mio. - 34 FTE
Farid Alam
Last position:
SAP Data Migration & Data Management Consultant for SAP GEMINI at Montblanc
The consultant's responsibilities/actions are:
- Consulting on the migration of material master & PP Master data
- Prepare Article List template for Cutover Phase
- Implementation of data cleansing measures using individual and bulk changes
- SAP all mandatory fields data extraction regarding Business needed
- SAP migration, Cutover, Testing, BAT, UAT
- Align with the multiple Stakeholders regarding Data from Legacy and SAP System
- Deployed SAP MM best practice (guided configurations, active methodologies and road map for project initiation)
SAP ERP | SAP GEMINI | SAP Fields Coordination | Documentation | SAP IDoc | SAP Integration | SAP End-to-End Process | SAP MM (Material Management) | SAP Functional Consultant | SAP Gap analysis | SAP MDM (Master Data Management) | Data Migration & Management
Alexander Zhirov
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.
Philipp Grunert
Last position:
Data Scientist & ML Engineer at Data-Science Factory GmbH
- Building, implementing and selling automated Data Science solutions such as Scorecard Factory and Forecast Factory
- Implementation of automated end-to-end cloud processes
- Development of LLM and NLP models
- Creation of interactive reports
- Support for national and international large corporations as well as medium-sized companies in implementing ML projects
Georg HĂĽwel
Last position:
Independent Consultant & Interim Manager at RTB Consult
- Corporate management, business consulting and interim management in leadership, general-, business-, change management & transformation, e2e supply chain, procurement
- Building the go-to-market and sales organization of a software company to launch a new HR ERP solution
- Supporting investor search for a legal tech start-up offering AI-based software for law firms
Thomas Meyer
Last position:
Executive Consultant, Coach to Management at International consulting firm
- Support to management on critical strategic topics with high investment volumes (e.g. large project > EUR 250 million).
- Support for the financing of large projects with a credit volume of EUR 100 million.
- Advice on difficult personnel issues and on filling leadership positions.
- Leadership and management in virtual project environments.
- Strategic consulting on digitalization as well as financing and equity topics.
- Impulse giver and advisor for stuck negotiations, contract design, and solution options.
Raffaele Turturro
Last position:
Owner and Consultant at VCHAIN Consulting
Supply Chain consulting services including:
- Supply Chain & Operations Strategy definition
- Interim management
- Operations scaling and transformation
- Distribution network analysis and optimization
- Tender management for IT tools and 3PL
- Continuous improvement and Lean Initiatives
- Supply Chain and Operational Project definition and implementation
Steffen Eschinger
Last position:
Domain Lead FI, CO, HR, Investor Relations at Douglas Group
- Process Owner SAP ERP 8 FI, CO & Investor Relations
- Process Owner SAP Success Factors
- Responsible for 4 teams, 39 FTE
- Full responsibility for end-to-end processes in SAP for Finance, Controlling, HR, Investor Relations
- Interface to certified public accountants for Finance IT (KPMG)
- ITIL-4 implementation for service request change request and project management with Service Now (Project Manager)
Kevin Guhl
Last position:
Interim Senior HR Manager at Symrise AG
- Preparing HR documents
- Conducting employee meetings
- Managing employee master data in Workday
- Managing employee master data in SAP
- Works council work
- Participating in company meetings
Discover over 15,000 top freelancers
Statistics of experts using Master Data Management
Aggregated from the professional profiles of matched freelancers.
Experience
25 years
Position duration
2.2 years
Positions per freelancer
15
Top business areas
Information Technology, Project Management, Operations
Top industries
Information Technology, Manufacturing, Professional Services
Certification focus areas
Information Technology, Project Management, Quality Assurance
Bachelor's degree or higher
88%
Master's degree or higher
52%
Doctorate
6%
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
99%
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 Master Data Management
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
What MDM covers
Master Data Management keeps core business data consistent across systems. It focuses on customers, products, suppliers, locations, and other shared records that must stay aligned in ERP, CRM, and analytics tools. Strong MDM work reduces duplicate records and makes reporting, operations, and automation more reliable.
Common project work
- Define master data domains and ownership rules
- Design match, merge, and survivorship logic
- Set up golden record processes
- Model hierarchies, reference data, and approvals
- Align data quality checks with source systems
Tooling and ecosystem
MDM work often touches platforms such as Informatica MDM, Reltio, SAP Master Data Governance, Stibo Systems, and Oracle Master Data Management. It also depends on data integration, workflow, metadata, and governance tooling. The strongest specialists understand how these pieces fit together, not just how to configure one product.
When companies bring in help
Teams usually look for freelance help when master data is fragmented, an MDM rollout is delayed, or a migration exposes bad source data. They also bring in experts to clean up governance, design operating models, or stabilize integrations after an acquisition. In Germany and other multilingual environments, clear communication with business and IT teams matters as much as technical depth.
What strong specialists do
A strong MDM professional can translate business rules into reliable data structures and repeatable processes. They document ownership, resolve conflicts between source systems, and keep data quality rules practical. They also know when to use stewardship workflows, when to automate, and when manual review is still needed.
Skills that matter
Good specialists usually combine data modeling, integration thinking, and governance experience. They should understand API and batch flows, hierarchy management, matching logic, and data stewardship. Experience with Master Data Management projects in regulated or complex environments is a plus because those settings demand cleaner controls and clearer accountability.
Frequently asked questions
What clients ask us most about Master Data Management — answered in short.
Master Data Management is used to keep core business records consistent across systems. It helps teams manage customer, product, supplier, and location data so reporting, operations, and automation use the same trusted version of the truth. It also supports governance, stewardship, and controlled change handling.
MDM focuses on the master records themselves and the processes that keep them clean, matched, and synchronized. Data governance is broader: it covers policies, roles, and decision rights for all data. In practice, the two work together, but they are not the same thing.
Master Data Management is often weighed against building custom data hubs, using reference data tools, or relying on source-system ownership alone. Custom hubs can work, but they are harder to govern over time. Source-system ownership can also fail when many systems need the same trusted record.
A strong Master Data Management specialist usually brings data modeling, integration, workflow design, and data quality skills. Experience with ERP, CRM, APIs, and batch interfaces is often useful. Business analysis matters too, because the rules behind master data are rarely only technical.
A Master Data Management project usually needs someone who has seen matching, merge rules, stewardship, and rollout issues before. Small cleanup tasks may need less depth, but platform design or governance setup should involve a proven specialist. The risk is high when many systems depend on the same records.
Yes, Master Data Management work is often well suited to remote collaboration. Many tasks are about workshops, rule design, configuration, and data review, which can be done online. On-site time can still help when stakeholders need faster alignment on ownership and process changes.
Look for a Master Data Management specialist who can explain matching logic, survivorship rules, and governance in plain language. Good signs include clear documentation, realistic rollout plans, and awareness of source-system limits. They should also ask about business ownership, not just the tool.
A Master Data Management freelancer will want to know which domains are in scope, which systems are involved, and whether the company already has governance rules. They will also ask about the current data quality, the target platform, and who signs off on business decisions. That context determines the delivery plan.
The average hourly rate of freelancers who have used Master Data Management in their recent projects is 112 €, which corresponds to a daily rate of about 893 € based on an 8-hour working day.
Of the freelancers who have used Master Data Management in their recent projects, 88% hold at least a Bachelor's degree, 52% hold at least a Master's degree, and 6% hold a doctorate.
On average, freelancers who have used Master Data Management in their recent projects have 25 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers who have used Master Data Management in their recent projects are German (98%), English (96%), and French (22%).
The most common industries among freelancers who have used Master Data Management in their recent projects are Information Technology (81%), Manufacturing (64%), and Professional Services (63%).
The most common business areas among freelancers who have used Master Data Management in their recent projects are Information Technology (94%), Project Management (88%), and Operations (63%).
Main locations of FRATCH Experts, who have recently used Master Data Management
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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