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Adam HajjejAH

Adam Hajjej

AI/ML Delivery Lead | Cloud & Data PM - PMP

700 €/jour
Geneva, CH
8-15 ans

Délai de réponse moyen : 1h

À propos de Adam

Most AI and data programs don't fail because of the technology. They fail because nobody in the room can translate between the engineers and the business. That's the gap I have spent the last 10 years learning to close.

I am a Senior Data & AI Project Manager focused on enterprise AI/ML delivery, cloud migration and large-scale data platform programs across international environments. I have led cross-functional teams, operating at the intersection of technical execution and business priorities. I have been close enough to the architecture to challenge it and accountable for delivering the roadmap.

At MediaMarktSaturn, I led 8 AI/ML initiatives processing more than 12M product records weekly across Europe. This included an ML-based product categorization system reaching 97% accuracy, while improving team delivery velocity by 20% over six consecutive quarters.
At Edenred, I led a Talend-to-Azure migration program across 24 countries supporting 9M daily CRM transactions, delivering a production-ready MVP in 8 weeks against a 12-week target.

Across these roles, I have managed and worked closely with engineers, data scientists, MLOps engineers and product stakeholders in complex international environments where alignment and execution matter as much as technical design.

I work best on projects where complexity is high and delivery matters :
• Multi-country rollouts.
• Cloud transformations.
• AI products moving from proof of concept to production.

I bring PMP discipline, cloud experience across AWS, Azure and GCP and a strong focus on keeping stakeholders aligned when things get complex.

If you are hiring for an AI/ML delivery lead, senior data project manager or technical PM who can align executives, architects and engineering teams around execution and delivery, Feel free to contact me, I will revert back to you under 1 hour.

Core areas: AI/ML Delivery, Cloud Transformation, Enterprise Data Platforms, Agile Delivery, Consulting, digitalisierung
  • Français

    Bilingue ou natif

  • Anglais

    Bilingue ou natif

  • Allemand

    Notions

Accepte de travailler sur site
Geneva (jusqu’à 50 km), Zurich (jusqu’à 50 km), Bern (jusqu’à 50 km), Lausanne (jusqu’à 50 km), Basel (jusqu’à 50 km)

Expériences

  • Edenred
    Senior Data Project Manager
    HIGH TECH
    juillet 2024 - Aujourd'hui (1 an et 11 mois)
    Paris, France
    Edenred is a global digital platform for employee benefits and payment solutions, serving more than 60 million users across 45 countries.
    I joined the global CRM HQ team working across Paris, Bucharest and Mexico City alongside Salesforce developers, data engineers, business analysts and project managers.

    In this role, I lead cloud migration and data intelligence initiatives within the global CRM transformation program by :

    • Leading a large-scale Salesforce ETL migration from Talend to Microsoft Azure Cloud across 24 countries, supporting more than 9M CRM transactions daily.
    • Acting as the main liaison between business stakeholders, architects and engineering teams to help resolving cross-functional blockers and keeping delivery teams aligned across compliance and technical workstreams.
    • Driving technical discovery workshops across multiple countries to map business workflows, identify system constraints and define migration scope and delivery priorities.
    • Defining architecture standards and integration approaches across Salesforce, APIs and operational systems in collaboration with Group Technical Architects and cloud teams.
    • Managing MVP delivery, roadmap planning, governance, timelines and budget discussions in partnership with CRM leadership.
    • Contributing to enterprise data governance and FinOps initiatives with infrastructure optimization targets focused on reducing cloud costs versus on-premise environments.

    Key Achievements:

    • Delivered a production-ready Azure MVP in 8 weeks ahead of the original 12-week target.
    • Reduced architecture review cycles by 35% through stronger collaboration and clearer technical governance.
    • Scoped an end-to-end migration roadmap covering 12 critical data pipelines, 50M+ records and 15 downstream systems.

    Technical environment: Azure Data Factory, Azure SQL, Azure Blob Storage, Azure DevOps, Talend, Salesforce, MuleSoft, APIs, SOQL, Python, Java, Jira, Confluence, Scrum, Agile
    Technical project management Digital Transformation Scrum Gestion de projet agile Atlassian Confluence
  • MediaMarkt
    Competency Lead Product Data Analytics & Automation
    GRANDE DISTRIBUTION
    septembre 2021 - juin 2024 (2 ans et 9 mois)
    Munich, Germany
    MediaMarktSaturn is Europe’s largest consumer electronics retailer, operating across 11 countries with approximately 50,000 employees.
    I joined the HQ Product Data Analytics & Automation team, leading initiatives focused on AI, machine learning, automation and product data quality at scale.

    In this role, I managed a cross-functional team composed of data scientists, analysts, MLOps engineers and product stakeholders working on ML-driven product data solutions used across multiple European markets.

    • Managed and mentored a team of engineers, analysts, and data specialists, supporting hiring, onboarding, coaching, performance reviews and career development.
    • Defined roadmap priorities, sprint execution, OKRs and delivery milestones in collaboration with product and business stakeholders.
    • Improved team velocity and delivery consistency by strengthening Agile practices, removing delivery blockers and improving stakeholder communication.
    • Led development of ML-powered product categorization solutions using NLP and automation approaches to improve product data quality and operational efficiency.
    • Built a collaborative team culture through regular 1:1s, retrospectives, tech talks and structured knowledge-sharing sessions.
    • Contributed to hiring decisions, workforce planning and technology investment discussions within the product data domain.

    Key Achievements:

    • Delivered 8 AI/ML initiatives processing more than 12M product records weekly across 11 countries.
    • Built an ML-powered categorization solution achieving 97% classification accuracy with 10-second response times.
    • Increased team velocity by 20% over 6 consecutive quarters while reducing blocker resolution time by 40%.

    Technical environment: Python, GCP, Vertex AI, NLP, MLOps, DevOps, Jira, Confluence, Agile, Scrum, APIs, Machine Learning, Generative AI, RAG
    Technical project management Team management Google cloud Atlassian JIRA IT-Projektmanagement
  • Edenred
    Data Project Manager
    AGENCE & SSII
    mars 2019 - septembre 2021 (2 ans et 6 mois)
    Paris Metropolitan Area, France
    Edenred is a global digital platform for employee benefits and payment solutions, serving more than 60 million users across 45 countries.

    I worked within Edenred’s global CRM program across international teams in Europe, Latin America and Asia-Pacific, supporting large-scale Salesforce data migration and integration initiatives.

    As a Data project manager I :

    • Led Salesforce data migration initiatives across multiple countries, coordinating technical delivery and rollout activities with distributed engineering teams.
    • Established ETL and data platform standards adopted by downstream teams across several regions.
    • Coordinated Agile delivery activities including sprint planning, backlog prioritization, retrospectives and release tracking across international teams.
    • Oversaw implementation of automated ETL pipelines connecting Salesforce with operational systems, databases and external applications.
    • Worked closely with Technical Architects to align solution design with enterprise architecture and compliance requirements.
    • Managed project timelines, technical documentation, resource coordination and delivery governance for multiple parallel initiatives.

    Key Achievements:
    • Reduced requirement churn through earlier stakeholder alignment and stronger architectural governance.
    • Delivered enterprise-wide migration solutions adopted across multiple countries and business teams.
    • Maintained daily production pipelines with 99.9% uptime and stable SLA performance.

    Technical environment: Talend, Salesforce, MuleSoft, APIs, SOQL, Java, Python, Jira, Confluence, Scrum, Agile, Bitbucket
    Technical project management Agile method IT Strategy Digital Transformation technisches Projektmanagement

Recommandations

Guillaume BersacGB
Natalia BenrejdalNB
BN
+3
Guillaume Bersac et 5 autres personnes recommandent Adam

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Formations

  • Master of Engineering
    Institut National des Sciences Appliquées Centre Val de Loire
    2015
    Master of Engineering
  • Bachelor's degree
    Institut Universitaire de technologie Grenoble
    2012
    Bachelor's degree

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