Amine BELGACEM

– Lead the end-to-end national transformation program for electronic invoicing and e-reporting compliance, ensuring full alignment with government regulatory requirements. – Define target IT architecture, business processes and system impacts across Finance, IT and operational departments. – Manage cross-functional teams (Business, MOA, MOE, IT, external stakeholders) and coordinate multiple workstreams under strict regulatory deadlines. – Own macro-planning, risk management framework and governance structure (Steering Committees, Executive reporting). – Oversee budget planning, financial monitoring and cost arbitration to ensure program efficiency and delivery performance. – Define and supervise global test strategy (integration, UAT, non-regression) to secure production readiness and system stability.

– Led deployment of AI-based fraud detection system, enabling automated identification and blocking of suspicious financial transactions. – Managed redesign of Cash Puller Data Log Finance system to enhance transaction traceability and financial flow monitoring. – Designed and implemented advanced cash forecasting module integrating predictive algorithms to improve liquidity visibility. – Delivered automated collateral management tool to streamline margin calls and strengthen regulatory compliance. – Coordinated internal IT teams and banking partners to secure financial data exchanges and ensure system interoperability. – Defined KPIs and supervised functional and technical testing phases prior to production release.

– Designed and deployed AI-powered non-conformity management platform for aerospace manufacturing operations. – Automated SAP data extraction, cleansing and structuring processes to improve data reliability and traceability. – Developed data validation algorithms to enhance accuracy of quality control indicators and reporting. – Managed full project lifecycle from design to production, including user training, documentation and tool deployment strategy at central level.

– Conducted large-scale territorial data analysis to assess passenger mobility flows and infrastructure performance. – Developed predictive models to forecast transport demand and anticipate traffic variations. – Built interactive geospatial dashboards and dynamic reporting tools for decision-makers. – Automated data pipelines using Python and SQL to enhance reliability and reduce manual processing. – Contributed to impact studies and technical reports supporting public infrastructure decisions.