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Wolf ZabkaWZ

Wolf Zabka

AI & Data Consultant | GenAI, RAG & Governance

1 400 €/jour
Zürich, CH
3-7 ans

Délai de réponse moyen : 1h

À propos de Wolf

Als AI & Data Consultant mit sieben Jahren Erfahrung in der Management- und Technologieberatung unterstütze ich Unternehmen dabei, Daten und KI in messbaren Geschäftswert zu verwandeln.

Mein Fokus: GenAI-Lösungen (RAG, Agentic AI), Data & AI Strategie, Data Governance, und die Überführung von KI-Initiativen von der Idee bis zur Umsetzung. Ich arbeite an der Schnittstelle von Business und Technologie und bringe die Fähigkeit mit, sowohl mit C-Level Stakeholdern als auch mit Entwicklungsteams auf Augenhöhe zu kommunizieren.

Hintergrund: Promotion in Physik (Universität Zürich), Senior Data Science Consultant bei PwC Schweiz, Manager für Data & Solution Architecture bei Detecon. Publizierter Algorithmus (BPM Conference), ethische KI-Konzepte, und aktuell eigene GenAI-Prototypen mit Claude API.

Branchen: Public Sector, Financial Services, Telekommunikation, Halbleiter, Pharma.

Was ich anbiete:
  • AI Use Case Identifikation
  • Data & AI Strategy Review
  • Data & AI Governance Frameworks
  • Anforderungsmanagement für KI-Projekte
  • Workshops, Trainings und Stakeholder-Alignment
  • GenAI Prototyping (RAG, Agentic AI)
Zertifizierungen: IBM RAG and Agentic AI, IBM Data Science, TOGAF, SAFe PO/PM, IREB, CDQ Data Management.
  • Allemand

    Bilingue ou natif

  • Anglais

    Capacité professionnelle complète

Accepte de travailler sur site
Zürich (jusqu’à 50 km)

Expériences

  • Detecon (Schweiz) AG
    Management Consultant
    CONSEIL & AUDIT
    novembre 2022 - septembre 2025 (2 ans et 10 mois)
    Zürich, Suisse
    Client Advisory & Business Development

    • Developed visions, business cases, and implementation roadmaps for data and AI products; conducted workshops translating stakeholder needs into clear user stories and backlogs
    • Led and contributed to proposals and public tenders (CHF 300k personal revenue, CHF 600k sales contribution)
    • Coached clients on agile processes and AI requirement specification

    Architecture & Standards

    • Led solution, data, and enterprise architecture activities across client projects in regulated environments, including roles as Product Owner, AI Requirements Engineer, Solution Architect, and Enterprise Architect
    • Created requirements engineering standards for AI projects, enhancing consistency across use cases
    • Designed and implemented standards for enterprise architecture management and solution lifecycle management

    Delivery & Implementation

    • Designed and coordinated the implementation of data pipelines for data products, enabling advanced analytics and reporting on enterprise-scale data
    • Led agile delivery of a data platform, coordinating a multinational team of up to 7 developers, analysts, and testers

    Practice Building

    • Led internal topic development in People Analytics and Process Mining with teams of up to 3 consultants
    Data Governance Enterprise Architecture Requirements Engineering Agile Delivery Data & AI Strategy
  • PwC Switzerland (Data & Analytics Team),
    Senior Data Science Consultant
    CONSEIL & AUDIT
    octobre 2021 - octobre 2022 (1 an)
    Zürich, Switzerland
    Data Science & ML Engineering
    • Developed data engineering and machine learning pipelines for predictive and prescriptive analytics, including training data curation from multiple sources and feature engineering
    • Developed, published, and productized the Effort Mining algorithm, a novel method to estimate task execution times from ERP event logs; validated across multiple processes (SAP Order2Cash, Purchase2Pay, Record2Report) and presented at the BPM Conference
    • Developed ethical AI concepts to tackle discrimination through algorithmic biases in predictive models

    Practice Building & Client Delivery

    • Built up technical capabilities for the people analytics practice, executing proofs-of-concept and shipping solutions for internal and external clients
    • Designed and led design thinking workshops to identify AI use cases and prototype analytical solutions

    Project Management

    • Coordinated team members, reviewed deliverables, and managed project budgets
    Machine Learning Data Engineering Ethical AI Workshop Facilitation Process Mining
  • PwC Switzerland (Data & Analytics Team),
    Data Science Consultant
    CONSEIL & AUDIT
    janvier 2019 - septembre 2021 (2 ans et 8 mois)
    Zürich, Switzerland
    Data Engineering & Process Mining

    • Designed, implemented, and maintained ETL pipelines and process data models for process mining across various enterprise systems
    • Created data transformation pipelines with associated data validations; identified and mapped data elements from stakeholder requirements to database entities
    • Integrated Python notebooks into Celonis cloud-based ML workbench for data processing and experimentation

    Analytics & Reporting

    • Built and maintained visual data analytics dashboards for end users and stakeholders
    • Developed process simulation capabilities for process mining service
    Process Mining ETL Pipelines Data visualization SQL Python

Recommandations

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Formations

  • PhD in Physics
    University of Zürich
    2018
    PhD in Physics
  • M.Sc. in Physics
    Humboldt University
    2014
    M.Sc. in Physics

Certifications

Catégories