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Tiyab K.TK

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À propos de Tiyab

WHAT I BRING
  • Strong technical expertise: 8 GCP certifications, AWS & Azure knowledge, production Data/AI/ML
  • Technology Transformation Leader
  • 15+ years driving business outcomes through tech
  • Strategic perspective: See blind spots insiders miss, bring fresh thinking while understanding context
  • Political independence: Not bound by "how we've always done it"
  • Bridge-builder: Speak tech to C-suite, vendor to customer
  • Led Cloud Practice, Data & AI initiatives impacting 400+ users

WHAT INTERESTS ME

Particularly drawn to organizations addressing:
  • Scaling Data & AI from POC to production and adoption
  • Democratizing Cloud, Data & AI for business users
  • Enterprise workflow automation powered by native Cloud, Data & AI
Open to strategic conversations about Product Engineering leadership, Cloud/Data/AI transformation roles, or partnership opportunities.
  • Français

    Bilingue ou natif

  • Anglais

    Capacité professionnelle complète

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

Expériences

  • fifty-five
    Cloud & GenAI Practice Director
    CONSEIL & AUDIT
    juin 2022 - juin 2025 (3 ans)
    Paris, France
    • Drove organizational capability building resulting in +60 GCP certifications and 2 Google Cloud Partner Specializations, which qualified us for Google's partner funding programs, deal registration benefits, and technical enablement resources
    • Leading the strategic development of Cloud platforms and services focused on Generative AI, ensuring alignment with company objectives and client requirements.
    • Building and fostering key partnerships with cloud providers (GCP, AWS, Azure) to gain early access to advanced technologies, conducting in-depth evaluations, and providing critical feedback to refine these solutions.
    • Developing deep expertise in GenAI, converting its potential into actionable insights for our service offerings, and driving transformative changes in client operations.
    • Spearheading innovation initiatives by exploring diverse GenAI applications, conceptualizing and developing prototypes that fulfill both internal needs and client expectations.
    • Empowering teams with comprehensive training programs, establishing internal knowledge-sharing platforms, and delivering detailed documentation to ensure a thorough understanding of GenAI both within the company and externally.
    • Advising clients on the secure, scalable, and efficient adoption of GenAI technologies, providing expert guidance on integrating these innovations into their business strategies.
    Google Cloud Platform Generative AI Change Management Amazon Web Services Microsoft Azure
  • Guerlain
    Cloud & Data Project Manager
    MODE & COSMÉTIQUES
    juin 2021 - avril 2022 (10 mois)
    Paris, France
    • Use cloud systems for marketing and data analysis
    • Help teams across the company use data tools by providing technical guidance on building and connecting data systems
    • Improve how Guerlain collects, organizes, and uses data
    • Track how different data connects to help teams work better together
    • Build stronger data resources that support company goals
    • Make sure data management supports both current and future needs
    • Keep clear records of where data comes from and who manages it
    • Set clear roles for data management responsibilities
    • Improve advertising and marketing technology to better serve customers
    Google Cloud Platform Google Analytics Google Ads Facebook Marketing Change Management
  • fifty-five
    Lead Cloud Solution Architect
    AGENCE & SSII
    décembre 2014 - juin 2021 (6 ans et 6 mois)
    Paris, France
    • Leverage Cloud infrastructure to perform marketing and data analytics
    • Drive the successful use and adoption of data solutions in customers Cloud accounts by providing expert technical advice on the architecture, design, implementation, tuning, and integration of data pipelines.
    • Provide knowledge and experience to estimate the technical effort required to implement architectures and data engineering.
    • Define and build solutions for data processing system architectures (MVP & MVC).
    • Provide daily tools and support to Data Scientists and Data Analysts.
    • Ensure that the technical team provides and implements best practices in architecture, security, and compliance.
    • Establish appropriate monitoring systems to ensure the performance, security, compliance, and operational stability of data pipelines.
    • Set up connectors for external data sources (SA360, Dv360, GA360, Facebook, Salesforce ...)
    Google Marketing Platform Git Data Engineering Data Architect Google Cloud Plateform

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Formations

  • Executive Certificat Digital Native - Organizations Digital Transformation
    Mines Paris - PSL
    2025
  • Master's degree, Systèmes d'informations et Génie Logiciel
    Ynov
    2015

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