About the job
Lead the organization's data strategy and ensure comprehensive execution (architecture, ingestion, modeling, governance, and visualization) within a Microsoft ecosystem (Azure / Microsoft Fabric / Power BI), while managing a cross-functional team and a diverse project portfolio.
Key Responsibilities
- Define and implement the data strategy (roadmap, priorities, budgets, value creation/KPIs) in collaboration with stakeholders.
- Design, deploy, and advance the Data Lake / Lakehouse architecture (Medallion Bronze–Silver–Gold) within the Microsoft ecosystem.
- Industrialize the platform (Microsoft Fabric, Azure Synapse, Azure Data Factory): ingestion/orchestration, transformations, models, security, and performance (SQL, Spark, Python).
- Establish pragmatic data governance: roles/stewardship, quality, cataloging/metadata, standards, access controls.
- Guide the BI & visualization strategy: semantic models, certified datasets, Power BI standards; advanced expertise in DAX / Power Query (M).
- Collaborate with IT, business, and executive teams to define, deliver, and maintain key performance indicators (KPIs).
- Ensure support, documentation, and reliability of BI and analytical solutions in production.
- Drive industrialization (Git, CI/CD, pipelines, testing/monitoring) and continuous improvement of engineering practices.
- Team and Project Management: mentor a multidisciplinary team, manage a multi-project portfolio (planning, risks, dependencies, executive communication), and ensure delivery.
- Oversee the implementation of data management approaches and standards, including data quality management.
- Manage the team responsible for maintaining product data.
- Ability to manage and deploy tools related to artificial intelligence (AI strategy, governance, and execution).

