Freelancer profile translated to English.
Back to original languageAbout Hamza
Responsible and manager in AI & Data, evolving in this field for over ten years, I am curious and eager to deepen my knowledge and take on more responsibility. Respect for deadlines, simplification of concepts, proactive and always concerned with achieving objectives by leveraging data and making well-adapted and planned recommendations.
French
Native or bilingual
English
Fluent
Can work on-site
Strasbourg (up to 50km), Strasbourg (up to 50km), Bordeaux (up to 50km), Lyon (up to 50km)
Experience
- Commission européenneAI and Data Governance Program ManagerPUBLIC SECTORApril 2025 - Today (1 year and 2 months)Luxembourg, Luxembourg- Program Scope and Leadership
- Program-level coordination of European Commission corporate initiatives in data governance, AI (including GenAI/RAG), and data compliance under the AI Act. Functional leadership of internal experts and management of external providers, ensuring alignment between Directorates-General and central services.
- Key Achievements- Design and implementation of the European Commission's Data Quality & FAIR maturity framework (levels 1 to 5), including questionnaires, indicators (KPIs), pilot projects with DGs, and integration of results at the data asset level in the European Commission Data Catalogue.
- Management of the "Data for AI" governance framework, covering the data lifecycle for AI, Machine Learning, Deep Learning, as well as risks related to GenAI/RAG (hallucinations, data leaks, data poisoning, retrieval risks) and readiness criteria.
- Mobilization of expertise in GenAI architectures (e.g., fine-tuning, RAG, RLHF) to support ethical and robust data management in innovative use cases.
- Translation of Article 10 of the AI Act into operational guidelines and definition of data documentation structures in accordance with Annex IV (training, validation, and test datasets, representativeness, bias monitoring, traceability).
- Integration of data and AI governance requirements into IT project and portfolio governance (PM2, ITIT, GovIS2).
- Definition of corporate and DG-level indicators (KPIs), as well as functional requirements for Power BI dashboards supporting executive steering and prioritization.
- Management of analyses of tools and methods (Data Quality tools, etc.)
- Design and delivery of multi-module training sessions.
- Société des Grands ProjetsData Project DirectorTRANSPORTATIONOctober 2024 - March 2025 (5 months)Paris, France- In direct liaison with the Director of IT Services, managed the scoping and design of a data supervision platform for metro lines 15, 16, 17, and 18 of the Grand Paris Express.- Facilitated multi-stakeholder workshops and scoping meetings with business departments and IT teams to define data needs and functional priorities.- Designed data and infrastructure architectures, ensuring consistency with supervision system requirements and long-term objectives.- Identified and mapped key stakeholders, data sources, risks, priorities, dependencies, and project milestones.- Managed the tender preparation phase, within the framework of competitive dialogue and negotiated dialogue procedures.- Delivered the Technical Specification Document (DCE), including a complete technical specification for the platform's implementation.- Contributed to strategic alignment between the IT vision and business needs for supervision, in a logic of sustainable digital transformation.
- ThalesHead of Data & AI DepartmentDEFENSE AND MILITARYMarch 2023 - September 2024 (1 year and 6 months)Vélizy-Villacoublay, France- Responsible for a team of about fifteen data experts working on various technologies.- Project management, primarily focused on developing data intelligence platforms using AI and Big Data (over 10 platforms deployed thanks to KDL).- Planning of PI planning sessions, discussions with clients regarding functional requirements (DRM, DGA, DGSE, etc.).- Facilitation of daily stand-ups, backlog management (validation of user stories, features, etc.), monitoring of alerts, anomalies, etc., processing of FT tickets.- Team data management (leave, necessary resources, assignments, etc.).- Technical support for the team and methodological assistance on certain projects.- Budget management for various projects.- Tools and technical stack
- Agile (SAFe), Redmine, Nextcloud, Gitlab, CI/CD, Data Product
- Minio S3, Linux, Kubernetes, Docker, Nifi, Flink, Python, Java, GO, Data Lab
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Education
- Degree in Statistics and Applied Economics EngineeringNational School of Statistics and Applied Economics2012
- Master's Degree in Mathematical EngineeringUniversité René Descartes2013
Certifications
- Machine Learning SpecializationCoursera2017
- Introduction to Big DataCoursera2017