Data Governance, Management, Data Quality,Migration, AI/ Data Transformation, Strategy - Haufe Autor
Düsseldorf, Deutschland
Weltweit
Promoviert in Physik
Düsseldorf, Deutschland
Weltweit
Promoviert in Physik
Profilanlagen
People_Data_Transformation_alephi-i.pptx
Warum Transformationen im Test kippen.pdf
Dr Isaak Saba CV.pdf
Über mich
People first. Data second. Transformation always.
Ich begleite Unternehmen strategisch und operativ dabei, das Potenzial ihrer Daten zu entfalten – mit klaren Zielbildern, umsetzbaren Datenstrategien und dem gezielten Einsatz von KI für nachhaltige und messbare Transformation.
Skills
Künstliche IntelligenzData ArchitectureDatenarchivierungDatenbereinigungData ControlData GovernanceData IntegrationDatenmanagementData MigrationDatenverarbeitungssystemeDatensynchronisationDatensystemeData Transformation ServicesDaten-VirtualisierungData WarehousingOracle Data GuardFührungskompetenzInformation GovernanceZählerdatenmanagementMeta-Daten-ManagementProduktdatenmanagementDatenverarbeitungDatenspeicherverwaltungVerwaltung von FinanzdatenData ScienceData AssimilationDatenstrategieDatenbank-MigrationDatenmanagementsystemeDatenprogrammierungSAP MDGDigitale VerwaltungDatenauswahlData Generation
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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