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AI Data Manager (203229)

AI Data Manager (203229)

ArcelorMittalLuxembourg
Il y a 20 jours
Description de poste

The AI Data Manager will 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.
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    Data • Luxembourg