AI Data Manager (203229)

ArcelorMittal; Florange; Sur place; EUR 50 000 - 75 000; Plein temps

Résumé du poste

A leading company in the metals industry seeks an AI Data Manager in Florange, Grand Est, France. This role focuses on managing data processes, driving innovation in AI solutions, and collaborating cross-functionally to leverage data in strategic decision-making. The ideal candidate will possess a degree in Data Science or a related field along with relevant experience in data management and visualization tools.

Qualifications

• Professional English proficiency; other European languages are an asset.
• Proven experience in data management, preparation, visualization, and analysis.
• Strong organizational and project management skills.

Responsabilités

• Oversee the entire data lifecycle from collection to visualization.
• Collaborate with teams to identify data needs and deliver solutions.
• Utilize advanced tools to present data clearly.

Connaissances

Data Management

Data Preparation

Data Visualization

Data Analysis

Collaboration

Analytical Skills

Curiosity and Innovation

Formation

Degree in Data Science, Computer Science, Information Technology or related field

Outils

Tableau

Power BI

Python

R

SQL

Power Apps

Power Automate

Copilot

Description du poste

TheAI Data Managerwill be part of CMO Automotive, Packaging & Electrical Steels entity. Join us if you have the ambition to be an actor of the transformation to a sustainable world!

Main responsibilities and activities :

The AI Data Manager will be responsible for overseeing the entire data lifecycle, from data collection and preparation to visualization and analysis.This role involves 2 main parts :

Data Management (70 %)

• Data Management : Ensuring the accuracy, integrity, segregation and security of data across various platforms.
• Data Preparation : Cleaning, transforming, and organizing data for analysis.
• Data Visualization : Creating visual representations of data to communicate insights effectively.
• Data Analysis : Conducting detailed analyses to support decision-making processes.
• Collaboration : Working closely with commercial and technical teams to understand their data needs and provide actionable insights.
• IT Coordination : Liaising with the IT team to ensure data infrastructure supports business requirements.

Innovation and creation (30 %)

• Staying updated with the latest technologies, particularly in AI, and exploring their application to improve data processes.
• Developing and implementing cutting-edge AI solutions to drive technological advancements and foster innovation.

Your role will include activities such as :

The AI Data Manager will play a pivotal role in bridging the gap between data and business strategy.This individual will :

• Act as the primary point of contact for all data-related activities within the organization.
• Develop and implement data management strategies that align with business objectives.
• Collaborate with commercial and technical teams to identify data needs and deliver solutions that drive business growth.
• Work with the IT team to ensure the data infrastructure is robust, scalable, and secure.
• Utilize advanced data visualization tools to present data in a clear and compelling manner.
• Conduct thorough data analyses to uncover trends, patterns, and insights that inform business decisions.
• Foster a culture of data-driven decision-making within the organization.
• Stay abreast of emerging technologies, particularly in AI, and assess their potential impact on data management practices.

Skills & requirements :

• Languages : A written and spoken professional English, any other European language being an asset!
• Educational Background : A degree in Data Science, Computer Science, Information Technology, or a related field.
• Experience : Proven experience in data management, data preparation, data visualization, and / or data analysis.
• Technical Skills : Proficiency in data visualization tools (e.g., Tableau, Power BI), data analysis software (e.g., Python, R), database management systems (e.g., SQL) and Power platform O365 (Power Apps, Power Automate, Copilot).
• Analytical Skills : Strong analytical and problem-solving abilities.
• Communication Skills : Excellent verbal and written communication skills, with the ability to convey complex data concepts to non-technical stakeholders.
• Collaboration : Experience working with cross-functional teams, including commercial, technical, and IT teams.
• Curiosity and Innovation : An open-minded and curious approach to new technologies, particularly AI, and a willingness to explore their application in data management.
• Project Management : Strong organizational and project management skills, with the ability to manage multiple tasks and deadlines.

Data Manager • Florange, Grand Est, France