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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 %)**
- 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.
- **Project Management**: Strong organizational and project management skills, with the ability to manage multiple tasks and deadlines.
