Data Steward

Responsibilities

• Ensure data quality, integrity, and fitness for purpose across all plant‑level datasets.
• Maintain day‑to‑day data control within governance and master data management processes.
• Monitor data completeness, accuracy, and compliance with defined rules and standards.
• Define, maintain, and enforce data standards, rules, descriptions, and naming conventions.
• Document local data definitions, transformations, and business meaning of plant‑level data.
• Serve as the bridge between business and IT, supporting data accessibility, system use, and reporting alignment.
• Collaborate with Business, OT, IT, Central Digital, and Data Architecture teams to ensure consistent data structures and flows.
• Document business reporting requirements and help identify new analytical and data‑driven opportunities.
• Support the development of Power BI models, dashboards, and advanced analytics by providing clean and documented data inputs.
• Manage local referencing, mapping, and aggregation of data when required by the site or corporate functions.
• Coordinate data corrections, reconcile discrepancies, and address issues raised by users.
• Improve data‑related workflows across departments to enhance efficiency, consistency, and communication.
• Maintain strong alignment with the Central Digital organization, ensuring site practices follow enterprise data governance models.

• Bachelor’s degree in IT, Computer Science, Data Science, Industrial Engineering, IS/IT, or related field required.
• 5+ years of data analysis experience required, preferably in manufacturing.
• Strong understanding of manufacturing or industrial data systems (MES, IBA, Braincube, ERP, etc.).
• Experience in data governance, reporting, analytics, or master data management.
• Ability to translate business processes into clear data requirements.
• Experience with ETL data integration processes.
• Strong communication and coordination skills across functions.
• High attention to detail, documentation discipline, and data integrity mindset.
• Experience working with Power BI, SQL, Azure Data Factory, or other analytical tools.
• Familiarity with Constellium’s digital ecosystem or similar industrial environments.
• Exposure to digital transformation programs, OT/IT convergence, or data architecture.

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