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Data Governance Experts in Munich

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Hire experts who define data policies, set stewardship workflows, and improve metadata, lineage, and access control across your stack. Get fast, precise matching with vetted, available freelancers.

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

Verified expert

Ajay Kumar Deekonda

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Senior BI and Analytics Engineer

Munich
Ajay Kumar Deekonda

Last position:

Senior BI and Analytics Engineer at Novartis

  • Led enterprise reporting modernization by migrating legacy SSRS reporting solutions to Power BI, supporting 500+ business users while ensuring full GDPR/DSGVO compliance.
  • Designed and optimized Power BI and Microsoft Fabric semantic models using star schema, dimensional modeling, advanced DAX, and performance optimization techniques, reducing query latency by 25%.
  • Delivered 20+ executive and operational dashboards featuring KPI scorecards, drill-through, bookmarks, and row-level security, improving reporting efficiency by 20%.
  • Enabled self-service analytics through governed Power BI datasets, dataflows, and gateway architecture, increasing business-led reporting adoption by 35%.
  • Configured an incremental refresh policy and query folding for a 50+ million row sales dataset, reducing daily report refresh times by 85%.
  • Deployed automated ETL/ELT pipelines using Azure Data Factory, Microsoft Fabric, and Snowflake, reducing reporting delivery timelines by 40% through workflow automation.
  • Spearheaded Microsoft Fabric analytics modernization initiatives including lakehouse architecture, OneLake integration, and centralized data platform development, reducing data latency from 2 hours to 20 minutes.
  • Translated business requirements from 15+ stakeholders into scalable Power BI semantic models and dashboards, improving reporting consistency and reducing ad-hoc reporting requests by 25%.
  • Applied Microsoft Copilot and generative AI tools to accelerate SQL development, DAX authoring, technical documentation, and testing activities, reducing development effort by approximately 15 hours per week.
Verified expert

Philipp Grunert

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Machine Learning & Data Engineer

München
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
Verified expert

Christiane Neher

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Management Consultant

Munich
Christiane Neher

Last position:

Management Consultant at Christiane Neher Management Consulting

Large Insurance Company – Consultant Wiesbaden: Consulting support for the introduction of an integrated planning and performance management framework (operational, financial, customer) to enhance customer-centric transparency, decision-making quality, and steering capabilities across all lines of business within an insurance organization:

  • Analysis of existing processes, reports, KPIs, and KPI calculation methodologies
  • Design and introduction of new, standardized customer KPIs (gross/net), as well as key steering metrics with consistent linkage across all lines of business
  • Recalculation, validation, and plausibility checks of KPIs based on existing and newly integrated data sources
  • Conceptual support for the development of an integrated reporting and performance management setup
  • Execution of customer insights analyses to identify patterns and anomalies within customer data clusters

Large retail company – Consultant in Karlsruhe: Advisory services for the setup and step-by-step implementation of an internationally deployable RELEX solution in the supply chain management environment:

  • Advising overall and sub-project management on methodology, project setup and steering (e.g. agile approach, Jira configuration, RELEX phases, Jira Structure PPM)
  • Strategic-operational consulting for the introduction of RELEX including best practices
  • Support in defining overarching goals and requirements (2-year target picture)
  • Guidance in scoping a relevant supply chain network segment for the project
  • Development of a roadmap for iterative, incremental RELEX setup and rollout
  • Assessment of project dependencies (interfaces, configurations, etc.)
  • Advice on prioritized implementation of business requirements and data interfaces
  • Support in test planning (data validation, system testing, UAT)
  • Consulting on internationalization, change management, training, and knowledge transfer
  • Stakeholder advisory and alignment activities between the client, implementation partner, and RELEX

Insurance company – Management Consultant in Munich: Analysis, consulting and support for the optimization of a large-scale business and IT transformation. Focus on strategically important programs and modernization projects in the area of Managed Services Operations and processes:

  • Review of project plans and deliverables; analysis of programs and projects (e.g. cloud approach, process standardization, system integration, roadmaps)
  • Identification of technical, functional and personnel risks and challenges; development of content-related measures and alternative solutions
  • Proposal of quality improvements for program and modernization efforts
  • Sparring partner and professional, technical, structural and organizational consulting for project and program management

Large retail group – Management Consultant & Stream Lead in Cologne: Consulting, process, project and product management for the introduction and implementation of a large strategic program in the field of advanced analytics, assortment and space management:

  • Setup, test and rollout of a new space planning, automation and optimization product based on the existing cluster-based merchandising approach
  • Definition and setup of new processes and transformation and change management measures for the new store-specific merchandising approach
  • Collaboration with Advanced Analytics and IT (internal and external) for software implementations, automations, extensions and interfaces
  • MVP approach and piloting in phases with gradual rollout (pilot with 80 stores, region with 500 stores, national level with 4000 stores)

Large retail company – Agile Coach & Change Agent in Cologne: Agile coach, OKR master and facilitator for the introduction of the OKR approach in a large strategic digitization program for retail stores:

  • Coaching of the core team with topic managers and team leads
  • Introduction to the OKR topic and setup of the OKR cycle
  • Establishment of the OKR approach in teams and on a cross-team level

Delivery and logistics company – Management Consultant in United Kingdom: Consulting and coaching in the restructuring of the Data Analytics department:

  • Analysis of current challenges
  • Definition of overarching goals
  • Development of a proposal for a new team structure
  • Identification of required competencies, skills and responsibilities
  • Advisory and alignment on communication and change management strategy
Verified expert

Serge Kalinin

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MLOps (machine learning operations)

Munich
Serge Kalinin

Last position:

MLOps (machine learning operations) at REWE Digital GmbH

  • It is like a startup within REWE, where we have to build a new forecasting system on Google Cloud Platform from the scratch. Although, officially my role is called MLOps, my actual tasks also include development of data processing pipelines (data engineering) and data scientists tasks such as feature engineering and model trainings.
  • GCP: Terraform (tofu), Vertex AI (Kubeflow), Cloud Run, IAM, Google Cloud Storage, BigQuery, Artifact Registry
  • Data engineering: Snowflake as the main data warehouse, Terraform, DBT for data model implementations
  • CI/CD: GitLab. We have built a CI/CD pipeline that automates deployments of new releases up to production environment
Verified expert

Anitha Namineni

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Senior Data Engineer

München
Anitha Namineni

Last position:

Senior Data Engineer at Accenture GmbH

  • Designed, developed, and configured scalable data applications aligned with business processes and technical requirements.
  • Architected scalable, cost-effective data architectures leveraging Snowflake across AWS, Azure and GCP, integrating dbt for data transformation and modeling.
  • Built and maintained robust ETL Data Pipelines, ensuring high data quality for seamless migration and cross-system integration.
  • Demonstrated strong expertise in SQL & Python with extensive experience in data modeling, ETL/ELT pipeline development, and streaming data processing; proficient in Git-based version control, CI/CD practices, and testing frameworks, with solid knowledge of data quality, observability, cost optimization, security, and data governance principles.
  • Led multiple data migration initiatives from SAP HANA to Snowflake using a modular dbt framework.
  • Designed and maintained end-to-end data transformation workflows using dbt on Snowflake, implemented layered data models, optimized performance, and ensured high-quality data delivery for business intelligence and reporting.
  • Managed development, QA, and production deployments through structured version control and release management using GitLab.
  • Integrated and centralized data from multiple sources including relational databases, flat files, Excel, and large-scale systems into Snowflake.
  • Applied strong expertise in Sales, Marketing, HR, and ERP data domains, developing and maintaining relevant KPIs and reporting solutions.
  • Collaborated with cross-functional teams to deliver end-to-end data solutions on schedule through proactive issue resolution and effective coordination.
  • Administered the Snowflake sandbox environment for Data Engineering division.
  • Trained colleagues transitioning into data roles on Snowflake and provided technical guidance and mentorship to junior team members.
Verified expert

Sven Hummel

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Process Architect (Symbio, Signavio)

Munich
Sven Hummel

Last position:

Process Architect (Symbio, Signavio) at IT service provider for an international premium automaker

  • Analyzing, aligning and modeling business processes (BPMN 2.0) for the 'The New Retail' program in the areas of invoicing, tax, customs and accounting
  • Tracking user stories and their impact on processes
  • Point of contact for preparing the tool migration from Symbio to Signavio for the mentioned areas
  • Power user after the introduction of Signavio, point of contact and coach for other process modelers
Verified expert

Rebekka Brandt

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Contract Start-Up Operations Lead

Haar
Rebekka Brandt

Last position:

Contract Start-Up Operations Lead at Self Employed

  • Delivered both strategic guidance and hands-on operational support to early-stage start-ups focusing on building, implementing, and scaling business processes in operations, product development, e-commerce and management.
  • Partnered directly with founders to design and execute customized, best-practice solutions, ensuring the optimization and automation of business processes to drive sustainable growth.
  • Led end-to-end execution of process optimization and organizational development projects, combining strategic oversight with day-to-day involvement to establish efficient, scalable structures in fast-paced environments.
Verified expert

Antonio Disarò

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IT Consultant

Munich
Antonio Disarò

Last position:

Agile Project Manager at Openry GmbH

End Customer: Openry GmbH

E-commerce platform to globally commercialize high-quality Italian artistic productions. Several European shops are already operational and Asian markets soon coming up. My role as Agile Project Manager is to lead the complete team on both the customer and technical side (offshore) including strong strategic consulting, in a continuous delivery approach. As project in a small enterprise, the budget management aspects are particularly challenging, in a quest to deliver the maximum business value with minimal overheads. Technologies: Magento 2, M2E Pro, Linux, Apache, MySql, PHP (LAMP), Stripe

Verified expert

Paul Webster

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Architecture Consultant (Freelance)

München
Paul Webster

Last position:

Agentic AI Solution Architect at Solvd GmbH

As the Solution Architect for Agentic AI in auto claims processing, I led global customer delivery implementations, encompassing solution design and detailing, multi-tenancy, process flows, integration with third-party solutions, and localization requirements.

  • Architectural Analysis: Conducted in-depth analysis of business requirements, managing requirements and creating detailed specifications.
  • Service Definition: Developed comprehensive technical definitions for services and integration contracts.
  • AI Process Management: Automated AI process management, focusing on analysis, optimization, and continuous improvement.
  • Requirements Gathering: Facilitated requirement-gathering sessions and analyzed business processes to identify optimization opportunities.
  • Agile Collaboration: Employed agile methodologies, working closely with stakeholders to ensure alignment and responsiveness.
  • Technical Support: Assisted senior management with technical analyses and deliverability assessments.
Verified expert

Jennifer Kiunke

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AI Product Manager and Engineer

Munich
Jennifer Kiunke

Last position:

AI Product Manager and Engineer at Human-in-the-Loop Studio

  • Architected and built a GenAI-based automated asset-generation tool for social media campaigns using Nano Banana and Python. It takes a campaign brief, target audience, and two products as input, generates optimized prompts for image and text creation, and uses functions for text positioning, visually appealing overlays, resizing, and structured uploads to AWS S3.
  • Engineered and built a multi-agent news intelligence platform with specialized roles including retriever agents (Tavily web scraping), synthesizer agents, and Claude as curator/orchestrator, designing autonomous agent collaboration patterns using LangChain and RAG.
  • Built an autonomous customer service agent using n8n and LLMs, delivering end-to-end support automation with transparent reasoning, governance controls, and scalable workflow orchestration using Python and vector databases.
  • Developed a financial validation engine featuring ML-powered anomaly detection for invoice plausibility, compliance automation, and risk mitigation using TensorFlow and SQL.
  • Created a cost optimization application using OCR, AI, Pandas, and NumPy for data analysis to identify cost optimization potential.
Verified expert

Srijan Manish

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Senior Product Manager – Revenue Management

Munich
Srijan Manish

Last position:

Senior Product Manager – Revenue Management at SIXT SE

  • Built and scaled a data-science price engine across 8 EU markets, lifting fleet margin by ~2% on a €1.5B+ base
  • Launched a generative-AI insights platform in 29 countries, cutting manual analysis by ~40% and driving weekly actions
  • Led a hybrid team and aligned 100+ stakeholders to refine pricing logic and accelerate rollout across regions
  • Set up KPI governance with WBR/MBR rhythms, reducing decision latency by ~30% across European pricing teams
Verified expert

György Kelemen

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Senior Software Developer, Delivery Unit Software Design & Development

München
György Kelemen

Last position:

Senior Fullstack Developer at Rockstardevelopers GmbH

  • Development of a test system
  • Establishment of the architecture using Scala/Java for the backend and Swing for the frontend
  • Setup of CI/CD pipelines with Jenkins for continuous integration, including automated builds
  • Participation in the Scrum team, including daily stand-ups, sprint planning, and retrospectives
  • Technology environment: Scala, Swing, EJB, JPA, Scrum, PostgreSQL, Mercurial
Verified expert

Nima Nooshi

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Data and AI architect

Munich
Nima Nooshi

Last position:

Co founding LLM Engineer at LLM Ventures

  • Co-founded an AI venture focused on building production-grade LLM applications and agentic systems
  • Designed and implemented multi-agent AI workflows for financial and trading applications
  • Developed LLM-powered copilot architectures for portfolio analysis, trade management, and personalized user coaching
  • Built on-device and edge-deployed inference applications, optimizing models for low latency, privacy, and resource-constrained environments
  • Led system architecture decisions across model selection, orchestration, state management, and deployment
Verified expert

Werner Anderschitz

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Lead Business Consultant

Munich
Werner Anderschitz

Last position:

IT Architecture, Business and Process Consulting at BMW

  • Business and technical consulting for master data provisioning and process management
  • Support for transition management
  • Process optimization
  • Interface definition

Discover over 15,000 top freelancers

Statistics of experts using Data Governance

Aggregated from the professional profiles of matched freelancers.

Experience

18 years (Germany: 19 years)

Position duration

2.5 years (Germany: 3 years)

Positions per freelancer

11

Top business areas

Information Technology, Business Intelligence, Product Development

Top industries

Information Technology, Banking and Finance, Professional Services

Certification focus areas

Information Technology, Project Management, Business Intelligence

Bachelor's degree or higher

91% (Germany: 94%)

Master's degree or higher

53% (Germany: 61%)

Doctorate

18% (Germany: 14%)

Certifications per freelancer

3

Most common languages

German, English, French

Speak two or more languages

95% (Germany: 98%)

Based on our profile pool as of 30 Aug 2026.

Daily rate distribution

0 3 6 9 12
<€320 €320-​480 €480-​640 €640-​800 €800-​960 €960-​1120 €1120+

The chart shows how the daily rates of freelancers in this technology in Munich 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 Munich 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. 817 €
Germany avg. 862 €

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 800 €
Germany median 800 €

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 30 Aug 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, classified, used, and protected. It helps companies keep trusted records across analytics, operations, and reporting. In practice, it turns loose data handling into clear policies and accountable decisions.

Typical work

  • Define governance policies for data access, retention, and quality
  • Set up stewardship roles and approval flows
  • Build metadata, glossary, and lineage practices
  • Support master data and reference data controls

Strong professionals work between business teams and technical teams. They translate policy into practical workflows that data teams can actually use.

Tooling stack

Data governance often sits around catalogs, metadata platforms, and quality tools. Common work includes Collibra, Alation, Informatica, Microsoft Purview, and OpenMetadata, plus supporting controls in cloud warehouses and BI tools. The exact stack depends on how mature the data estate is.

When to bring help

Companies bring in freelance specialists when a data program is starting, changing platforms, or losing control over definitions and access. This is common in regulated sectors, complex enterprise reporting, and large migrations. In Munich, that often means work across manufacturing, automotive, insurance, and finance teams.

What good specialists do

Good professionals do more than write policy documents. They map data domains, align owners, document lineage, and help teams agree on one version of the truth. They also know how to make governance light enough that teams follow it.

What to look for

A strong specialist can explain trade-offs clearly and connect governance to real business outcomes. Look for experience with data catalog design, stewardship operating models, GDPR-aware processes, and change management. For Munich teams, clear communication in English and sometimes German is often important.

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Frequently asked questions

Key details about Data Governance, drawn from the questions we get asked most.

A strong Data Governance specialist defines who owns which data, how it is classified, and what rules apply to access, retention, and quality. They usually deliver policies, stewardship workflows, glossary structures, lineage mapping, and practical guidance for business and technical teams. The goal is usable control, not paperwork.

Data Governance sets the rules and responsibilities, while data quality work checks whether the data meets those rules. In many projects, governance defines the standards and quality tooling enforces them. Good specialists know both sides and make them work together.

Data Governance and information governance overlap a lot, but information governance is usually broader. It can include documents, emails, records, and retention rules beyond structured data. When companies ask for one or the other, they often need the same core skills around policy, ownership, and control.

A Data Governance setup often uses a data catalog, metadata management, lineage, and quality tools. Common names include Collibra, Alation, Informatica, Microsoft Purview, and OpenMetadata. The right choice depends on the current stack, cloud setup, and how much business users need to participate.

A good Data Governance freelancer usually also understands data cataloging, master data, metadata management, and privacy-aware processes. Business analysis and stakeholder management matter too, because the work touches both policy and daily operations. In many projects, SQL, cloud platforms, and BI tooling help a lot.

A Data Governance project can need anything from a focused specialist to a senior lead, depending on scope. A smaller effort may only need policy cleanup or stewardship design, while a larger program needs operating model design and rollout support. The key is proven experience with real adoption, not just concepts.

Yes, much of Data Governance can be done remotely because the work is driven by workshops, documentation, and tooling. On-site time can still help when teams need alignment across business units or when sensitive internal processes are discussed. For Munich-based organizations, a mix of remote collaboration and local meetings often works well.

A strong Data Governance expert can show how they improved ownership, definitions, lineage, or access control in a real environment. Ask for examples of how they got business teams to adopt the model, not just how they designed it. Clear communication, practical thinking, and comfort with governance tools are good signs.

The average hourly rate of freelancers in Munich, Germany who have used Data Governance in their recent projects is 102 €, which corresponds to a daily rate of about 817 € based on an 8-hour working day.

Of the freelancers in Munich, Germany who have used Data Governance in their recent projects, 91% hold at least a Bachelor's degree, 53% hold at least a Master's degree, and 18% hold a doctorate.

On average, freelancers in Munich, Germany who have used Data Governance in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 2.5 years.

The most common languages among freelancers in Munich, Germany who have used Data Governance in their recent projects are German (97%), English (95%), and French (29%).

The most common industries among freelancers in Munich, Germany who have used Data Governance in their recent projects are Information Technology (79%), Banking and Finance (50%), and Professional Services (50%).

The most common business areas among freelancers in Munich, Germany who have used Data Governance in their recent projects are Information Technology (84%), Business Intelligence (76%), and Product Development (71%).

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.

Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg

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Philipp Thomaschewski

FRATCH CEO

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