Amel A.

Defined and executed enterprise‑wide Data Governance strategy aligned with regulatory standards and business goals (GDPR, privacy by design). Built and operationalized end-to-end data quality pipelines to ensure data accuracy, traceability, and reliability. Led implementation of metadata and lineage tools (DataHub Data Catalog) to boost data discoverability and cross-team collaboration. Designed and scaled internal processes (incident, change, request, and problem management) to stabilize data services delivery. Rolled out a company‑wide data culture program, including onboarding tracks and self‑service learning modules. Set and tracked team OKRs and individual objectives to align with organizational performance targets. Managed external staffing: from scoping needs and interviewing to contract renewals and budget alignment. Oversaw budget forecasting and annual salary review processes for the squad.

Restructured and scaled BI squads to align with the company's evolving data strategy and delivery model. Acted as strategic partner to business units, proactively translating functional needs into BI solutions across domains. Managed full data pipeline lifecycle: Data Collection, Engineering, Visualization, and DataOps (Dataiku,Dremio, Tableau, Anaplan). Led external contractor management across sourcing, recruitment, and renewal cycles. Directed service management processes, improving reliability, transparency, and user satisfaction. Owned annual budgeting and Salary review cycles for a multi‑disciplinary BI team.

Successfully led migration from legacy Oracle systems to modern MongoDB platform, ensuring seamless transition and zero downtime. Managed full data lifecycle: ingestion, transformation, migration, and publication, improving data reliability and accessibility

Built and led a high‑performing data team, meeting tight deadlines and driving operational excellence. Chaired Data Board to resolve issues, optimize data workflows, and maintain data quality. Collaborated with CEO and CTO on strategic data initiatives, driving business value and cultural change. Automated global data processes via CI/CD pipelines, boosting scalability and efficiency. Administered MongoDB clusters, enhancing performance through monitoring, scaling, and query optimization.