Freelancer profile translated to English.

Description

Executive technological leader, I support ETIs and large accounts with multiple entities (Luxury, Banking, Insurance, Industry) in defining and executing their global AI, Big Data & Cloud strategies. With solid technological leadership experience within complex multinationals (Imerys, LafargeHolcim), I work with general and technical management (CXO) to transform complex architectures into concrete growth levers, while ensuring rigorous control of budget trajectories (CAPEX/OPEX).

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent
Arabic
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

Imerys SA
Head of Data & AI Services
RAW MATERIALS INDUSTRY
October 2020 - May 2026 (5 years and 7 months)
Paris, France
As the referent for Artificial Intelligence within the company, I play a pivotal role in shaping and guiding our AI initiatives :
AI Governance
- Oversee the corporate AI use case portfolio, ensuring alignment with business objectives.
- Coordinate the AI Network, fostering collaboration across teams and departments.
- Perform assessments of new AI demands and solutions to ensure they meet organizational standards.
- Establish and uphold AI Ethics Principles, promoting responsible AI usage.
- Develop and implement the AI Governance Framework and Principles, laying the foundation for sustainable AI practices.

AI Platform Architecture and Management
- Architect innovative AI solutions that drive efficiency and effectiveness within the organization.
- Manage enterprise AI development platforms, ensuring they meet the evolving needs of our projects.
- Oversee the development and support of AI applications, portals, and agents, enhancing user experience and functionality.

Data Science Support
- Provide expert advisory services in Data Science, assisting teams in developing supplemental models that address specific challenges.
- Machine Learning Operations
- Manage the industrialization of ML models, including their hosting, training, monitoring, and ongoing support to ensure optimal performance and reliability.

Generative AI Platform Development
I have also led the development of an internal Generative AI platform that prioritizes safety and security. Key features include:
- Data Protection: All data is processed within a secure environment to prevent unauthorized access.
- Security Measures: Advanced protocols are in place to safeguard against data leakage.
- Compliance: The platform adheres to our internal policies and regulatory standards.
Data science Machine learning Data Engineer Data & AI Strategy Operational Management
lafargeholcim
Data Architect - Data Management Lead
CIVIL ENGINEERING
March 2019 - April 2020 (1 year and 2 months)
Clamart, France
Reporting to the CIO of LafargeHolcim France,
- Management of the Data team
- Project management (Planning, Cost, ROI)
- Implement a Data Driven strategy
- Initiate a data governance approach, with the definition of rules, guides, repositories, and indicators.
- Establish a data management policy, including classification, storage, and retention.
- Co-develop with business units the first use cases to ensure knowledge sharing. (Business autonomy)
- Redesign the Business Intelligence component in its entirety (App-DB Integration, Processing, Reporting, Data Lake) to have a Data Centric architecture.
- Design/model and provide business units with data in a favorable playground for experimentation (Analytics)
- Define the different data exchange flows
- Hold each business unit accountable for the quality of its data to achieve a quality data catalog
- Implement data quality controls throughout its lifecycle
- Create the right environment with business units to generate value from diverse data uses.
- Provide methodological and algorithmic support in data analysis
- Develop tools that automate analyses (Data mining, Machine learning tools, typically).
- Define and implement data management solutions throughout its lifecycle (collection, exchange, provision, storage, data analysis)
- Ensure enterprise data urbanization.
- Identify data uses in the Commercial Performance service, for communication, business, and study/analysis purposes.
- Work on a 360° view of LafargeHolcim customers, BtoB, BtoC, Salesforce CRM/Einstein Analytics.
Birdz (Veolia Water)
Head of Data Architecture & Data Science
May 2015 - March 2019 (3 years and 10 months)
Paris, France
• - Massive IoT Architecture: Designed and implemented a hybrid Big Data platform (Azure/GCP) processing real-time streams from 3 million IoT devices.
• - Predictive Modeling: Developed ML models for critical use cases including water leak detection, consumption forecasting, and predictive maintenance for metering equipment.
• - DataLab Launch: Structured a DataLab to accelerate innovation from ideation to industrialization using Lean Startup methodologies.

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Master's degree in Mathematics - Computer Science
University of Gafsa Tunisia
2009
Master's degree in Computer Science and Decision Support, specialization in Optimization - AI
UFR of Caen Lower Normandy
2012

Hedi B.

Data & AI Services

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