HEAD OF DATA DEPARTMENT (DATA MANAGER)

I. KEY RESPONSIBILITIES

• Define and execute the Group’s data strategy and data governance framework.

• Establish data standards, data quality controls, data catalog, and data dictionary.

• Manage data security, access control, privacy, and compliance.

• Design, build, and operate enterprise data platforms (Data Lake, DWH, ETL/ELT).

• Integrate data from core systems (ERP, CRM, Applications, etc.).

• Ensure performance, scalability, reliability, and security of data infrastructure.

• Deliver BI dashboards, analytics, and management reports to support decision-making.

• Lead advanced analytics and data science initiatives (forecasting, scoring, recommendation).

• Collaborate with AI/MLOps teams to provide high-quality datasets for AI/ML use cases.

• Build, lead, and develop the Data team; manage data-related budget and costs.

II. AUTHORITIES

• Access enterprise data for platform development and analytics.

• Coordinate with internal departments and external partners.

• Propose improvements to data processes, tools, dashboards, and standards.

• Refuse tasks that violate legal or regulatory requirements.

III. JOB REQUIREMENTS

• Bachelor’s or Master’s degree in Computer Science, Data Science, or related fields.

• Minimum 5 years of experience in Data, including at least 2 years in a managerial role.

• Strong knowledge of data architecture, governance, analytics, and cloud data platforms.

• Proficiency in data engineering, databases, querying, and data visualization.

• Solid understanding of statistics and machine learning fundamentals.

• Strong leadership, planning, and communication skills.

• Professional, analytical, innovative, and security-conscious mindset.