Data Analytics & AI Lead

American President Lines; Marseille; Sur place; EUR 70 000 - 100 000; Plein temps

Résumé du poste

A leading company in shipping and logistics is seeking a skilled Data Analytics & AI Leader in Marseille. This role is vital for integrating AI technologies across various departments, driving business growth, and enhancing operational efficiency through data-driven strategies. Candidates should possess a degree in data science, extensive experience in data leadership, and excellent communication skills.

Qualifications

• Proven experience in a data leadership role, preferably as Data Science or AI.
• Excellent leadership, communication and problem-solving abilities.
• Deep expertise in data visualization, big data technologies, analytics, and AI.

Responsabilités

• Develop and articulate the AI vision and strategy aligned with business priorities.
• Maintain the Data Analytics & AI Roadmap for implementation of AI projects.
• Foster a data-driven culture and promote ethical AI usage.

Connaissances

Leadership

Communication

Problem Solving

Data Visualization

Big Data Technologies

Analytics

AI Technologies

Formation

Bachelor’s or master’s degree in data science

Computer Science degree

Outils

AWS

Google Cloud

Snowflake

Description du poste

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ID: 556523

Location:

Marseille, FR

Led by Rodolphe Saadé, the CMA CGM Group, a global leader in shipping and logistics, serves more than 420 ports around the world on five continents. With its subsidiary CEVA Logistics, a world leader in logistics, and its air freight division CMA CGM AIR CARGO, the CMA CGM Group is continually innovating to offer its customers a complete and increasingly efficient range of new shipping, land, air and logistics solutions.

Committed to the energy transition in shipping, and a pioneer in the use of alternative fuels, the CMA CGM Group has set a target to become Net Zero Carbon by 2050.
Through the CMA CGM Foundation, the Group acts in humanitarian crises that require an emergency response by mobilizing the Group’s shipping and logistics expertise to bring humanitarian supplies around the world.

Present in 160 countries through its network of more than 400 offices and 750 warehouses, the Group employs more than 155,000 people worldwide, including 4,000 in Marseilles where its head office is located.

YOUR ROLE

We are seeking a skilled Data Analytics & AI Leader experienced in business digital transformation. This role is crucial to ensure that AI technologies are integrated in and across all Shipping Lines domains effectively to drive business growth and operational efficiency.

In Business Transformation Shipping Lines department, reporting to the Head of Data, you will work closely with the various Shipping Lines departments (commercial, operations and cargo flow, agencies network…) on their strategics programs managers and Data Managers (Data science and BI) and other stakeholders to deploy Data Analytics & AI Products and foster a data-driven culture.

WHAT ARE YOU GOING TO DO?

• Develop and articulate the Shipping Lines’s AI vision and strategy in alignment with business priorities, Data Foundations roadmap and AI partnerships
• Maintain an up-to-date Data Analytics & AI Roadmap to oversee end-to-end implementation of AI Projects, identify potential overlaps and ensure delivered Products are scalable, robust and aligned with Business expectations
• Secure staffing of Data Experts (data scientists, data analysts, data engineers) and improve ways of working
• Develop awareness related to analytics, AI or ML topics as well as promoting ethical AI usage and driving adoption.
• Foster a collaborative mindset to strengthen autonomy and accountability and break siloes within Shipping Lines teams

WHO ARE WE LOOKING FOR?

• Bachelor’s or master’s degree in data science, Computer Science, or a related field
• Proven experience in a data leadership role, preferably as Data Science or AI
• Proven experience in transformation role, preferably in Business teams
• Excellent leadership, communication and problem-solving abilities
• Deep expertise of in data visualization, big data technologies, analytics, and AI technologies.
• Operational Research experience is a plus
• Experience with cloud-based data solutions (e.g., AWS, Google Cloud, Snowflake)
• Ability to work collaboratively with diverse teams and stakeholders.
• Knowledge of industry regulations and compliance related to AI.