03.11.2026 aktualisiert

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Data strategy, Data Analytics, Data Governance, MDM | Data Cleansing & Migration mit KI , ERP, CRM

Düsseldorf, Deutschland
Weltweit
Promoviert in Physik
Düsseldorf, Deutschland
Weltweit
Promoviert in Physik

Profilanlagen

Warum Transformationen im Test kippen.pdf
Isaak Saba CV-Englisch.pdf
Isaak Saba CV-Deutsch.pdf

Über mich

People First. Data Second. Transformation always. Vom Zielbild bis zum Go-live: Daten- und KI-Strategie mit dem C-Level, Umsetzung mit eigener KI-Software. ≥ 1 Mio. € und 6 Monate gespart (SAP-Migration) GEA: Cleansing-Budget 2 Mio. € → 50 k€ Autor „Data Capabilities und Leadership“ (Haufe)

Skills

LLMKünstliche IntelligenzData ArchitectureDatenbereinigungData GovernanceDatenmanagementData TransformationData MigrationDatenqualitätMicrosoft Dynamics CrmFührungskompetenzPythonMachine LearningMinimaler DatensatzProgramm-ManagementMicrosoft Power BISAP MDMData ScienceDatenstrategieSAP MDG
Strategie & Führung
  • Daten- und KI-Strategie: Zielbilder, Roadmaps
  • Holistischer Ansatz: Data Governance, Data Management, Business Processes, Data Architecture
  • Data Governance: Aufbau von Organisationen (Data Owner, Data Stewards, Boards), Richtlinien, Rollen
  • Programm- und Projektleitung (klassisch und agil), Data Stream Lead
  • C-Level-Beratung und -Reporting, Change- und Stakeholder-Management

Data Management & Migration
  • Master Data Management / Stammdaten (Kunde, Lieferant, Material, Geschäftspartner)
  • Data Quality Management: DQ-Dimensionen, Prüfregeln, DQ-Dashboards
  • Data Cleansing / Datenbereinigung, Dublettenbereinigung, Harmonisierung
  • Datenmigration SAP S/4HANA (Greenfield, Brownfield, Bluefield) und SAP MDG-C/-S/-M
  • Microsoft Dynamics 365 CRM: Data Cleansing, Mapping, Migration
  • Infor WFM, Oracle ERP: Data Mapping, KI-gestütztes Cleansing
  • Technische Datenqualität im Bankensektor

KI & Data Science
  • KI-gestütztes Data Cleansing mit Machine Learning (TF-IDF, Nearest Neighbors, Clustering)
  • LLM-Integration (Anthropic Claude API) mit Validierung und fachlicher Freigabe
  • Entwicklung eigener Cleansing- und Migrationssoftware (Python, Streamlit)
  • Predictive Maintenance, Anomalieerkennung, Prognosemodelle, Computer Vision
Tools
  • Python (pandas, NumPy, scikit-learn, Streamlit)
  • SQL
  • Power BI
  • Claude Code

Erfahrung

Berufserfahrungmehr als 10 Jahre
Freelancer seit2023

Sprachen

DeutschMutterspracheEnglischverhandlungssicherFranzösischGrundkenntnisse

Projekthistorie

Global Migration Lead for tax and auditing organisation

Wirtschaftsprüfung, Steuern und Recht

1000-5000 Mitarbeiter

  • Design an End-2-End migration strategy coverging limited resources within the organization
  • Identify subject matter experts to fill gaps
  • Identify master data objects and transactional data in migration scope
  • Identify data in cleansing scope and provide data quality dimensions and cleansing
  • rules
  • Execute cleansing by coding own AI-algorithms in python
  • Develop PowerBI dashboard to make data quality transparent to upper management
  • Teach organization, especially upper management data capabilities

Global Project Lead Master Data Management Transformation

Wirtschaftsprüfung, Steuern und Recht

1000-5000 Mitarbeiter

  • Define scope of project (what is in,what is out)
  • Implement organigram, communication and escalation paths
  • Implement capabilities streams within project
  • Approve technical and functional specifications
  • Lead data stream within project:
    • Data Cleansing
    • Data Standardization and Harmonization
    • Data Extraction from legacy system
    • Data Governance, Data Management framework (roles and responsibilities)
    • Migration approach
  • Track project status and prepare communication templates for C-level
  • Teach organization, especially upper management data capabilities

Data Stream Lead

Sonstiges

>10.000 Mitarbeiter

  • Führung des Data Streams in einer komplexen ERP, CRM, WFM Transformation
  • Identifikation kritischer Datenobjekte
  • Identifikation kritischer Systeme
  • Data Governance Modelle
  • Data Cleansing mit KI-Lösungen
  • Data Mapping
  • Projektplanung und Priorisierung von Aufgaben

Data Governance Expert within financial environment

Banken und Finanzdienstleistungen

500-1000 Mitarbeiter

  • Identify systems in scope of technical data quality
  • Develop decision matrix to prioritize systems
  • Write organizational wide technical data quality policy
  • Write organizational wide technical data quality concept
  • Implement data quality concept for relevant system
  • Train IT colleagues in new roles and responsibilities

Data Expert for Global Healthcare organisation

Pharma und Medizintechnik

1000-5000 Mitarbeiter

  • Implement project management structures within different initiatives for efficient
  • alignment
  • Identify Use-Cases for master data usage
  • Analyze As-Is process and data landscape to identify most burning topics
  • Draft Data Governance Policies, Procedures
  • Design future Data Governance, Data Management, and Process Organization
  • Develop and introduce standardized Data Cleansing Initiatives

Data Lead for an international security organization

Sonstiges

>10.000 Mitarbeiter

Holistic Data Migration approach
  • Identify subject matter experts and conduct interviews regarding data usage and data flows
  • Analyze system landscape and involved End-to-End processes (strong focus on Microsoft CRM - ERP interface building) 
  • Analyze future - by organization given - system landscape and identify potential gaps
  • Identify missing capabilities with respect to:
    • Data cleansing
    • Data standardization and data harmonization
    • Data Extraction from legacy system
  • Data Governance, Data Management framework (roles and responsibilities)
  • Migration approach
  • Provide End-to-End (holistic) data migration approach with needed capabilities and timeline

Data Governance Expert

Energie, Wasser und Umwelt

>10.000 Mitarbeiter

  • General Data Governance / Data Management tasks
    • Introduce Data Governance and Data Management Concept to Organisation
    • Introduce required roles, roles and their responsibilities
    • Audit organisation regarding Data maturity
    • Highlight gaps and propose plan how to close
  • Migration Support
    • Identify relevant Data for Business Partner (SAP) for Migration
    • Prepare data collection and data screening template
    • Provide Business Definition
    • Collect data cleansing rules
    • Propose data quality dimensions
    • Execute data cleansing (De-Duplication) with help of AI

Head of Data Governance

GEA

Industrie und Maschinenbau

>10.000 Mitarbeiter

  • Build-up the Data Governance department within GEA Group AG
  • Develop and implement a modern & lean Data Governance framework
  • Develop and communicate the Mission, Vision and Strategy statement within GEA Group AG
  • Drive the cultural change with respect to data - Build and increase awareness for the upper management including C-level to advertise and apply Data Governance within their Divisions and Business Units
  • Build-up the tactical and operational layer of the Data Governance framework Data Stewardship Community in a sustainable manner
  • Build-up the strategic layer of the Data Governance framework Data Governance Board in a sustainable manner
  • Build-up the control layer of the Data Governance framework Data Steering Committee in a sustainable manner
  • Train Business Data Stewards & Project Manager in Data Governance capabilities
  • Functional lead of a team consisting of 17 Business Data Stewards and 8 Data Owner - Strong cooperation with, guidance and consultancy of 4 Data Steering Committee members (upper management including C-level)

Data Scientist / IIoT Project Manager

Mann + Hummel

Automobil und Fahrzeugbau

>10.000 Mitarbeiter

  • Lead global analytics related projects in a cross-domain team consisting of Engineers, Production employees, Sales and IT (up to 10 members)
  • Develop predictive maintenance models for production machines and oil filters (anomaly Detection)
  • Develop machine learning algorithms to predict quality in production
  • Develop forecast models for Sales and Supply Chain

R&D Project Manager, Data Scientist, Technical Lead, IP Strategist

thyssenkrupp

Industrie und Maschinenbau

>10.000 Mitarbeiter

  • Lead Data Scientist in Microsoft HoloLens accuracy project
  • Introduce Microsoft HoloLens as an industrial measurement device
  • Technical stream lead (8 members) in a project to automatize passenger boarding bridges with the artificial vision approach
  • Lead international and cross-domain teams consisting of software developers, engineers, sales, Data Engineers as well as Data Scientists
  • Analyze competitors and own IP, develop IP strategy
  • Develop external licensing strategies
  • Analyze patent portfolio for all business areas
  • Analyze and develop intellectual property strategy

Portfolio

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