Luxembourg
I bridge the gap between data complexity and business delivery, turning governance challenges, regulatory requirements, and data quality issues into structured, actionable solutions. With 9+ years across Banking & Finance and Energy, I combine deep data expertise with PMP-certified project delivery — operating at both strategic and operational levels. 🔷 Data Governance & Management → Governance frameworks aligned with DAMA-DMBOK | CDMP® Certified |Collibra EDC | Data Quality | Metadata | Lineage → Regulatory compliance: DORA, BCBS 239, GDPR 🔷 Data Architecture & Modelling → End-to-end data lineage across T24, KDB+, Triple-A → Process modelling: BPMN, UML 🔷 Project & Team Management → PMP® | SAFe | Agile & Hybrid delivery → Trusted advisor to CDAO, CTO, Head of Data 🔷 BI & Reporting → Power BI | Tableau | MicroStrategy Trilingual: French | Arabic | English Open to international freelance missions — feel free to reach out.
• Facilitated multi-stakeholder workshops for DORA compliance, including business process modelling via BPMN and data-related risk identification • Led data identification and mapping workshops with business and IT teams, ensuring end-to-end data lineage from conceptual modelling (entities, business rules) down to the application layer across core systems (T24, KDB+, Triple-A) • Drove Data Management initiatives across the European hub, in close coordination with senior management (CDAO, CTO, Risk Officers) • Managed and enriched the Enterprise Data Catalogue (EDC) using Collibra: asset onboarding, metadata definition, and data flow traceability • Designed and implemented a Data Governance framework aligned with DAMA-DMBOK standards: quality controls, referential standardisation, and data policy documentation • Ensured reliability and quality of the global data platform through data modelling and technical documentation • Acted as key interface with senior management for the prioritisation and steering of strategic data initiatives
• Led a Data Management team of 4 consultants, overseeing workload allocation, performance, and delivery quality • Ensured BCBS 239 compliance through robust data lineage mapping, data quality frameworks, and risk data aggregation processes • Acted as a trusted advisor to the Head of Data, providing strategic guidance on data governance priorities • Directed key deliverables including training programs, Data Governance Charter, and data quality dashboards • Aligned data projects with EIF's business objectives, ensuring measurable impact and stakeholder satisfaction • Promoted a data-driven culture by embedding DAMA-DMBOK best practices across the organization • Monitored team performance and delivery quality through structured reporting and KPI tracking
• Deployed and administered Collibra Data Intelligence Platform: asset cataloguing, workflow configuration, and metadata management • Conducted data modelling workshops using BPMN/UML to map business processes and data flows • Produced functional specifications (FS) and technical documentation aligned with business requirements • Built and maintained data lineage and data quality dashboards for operational reporting • Acted as liaison between business stakeholders and IT teams to align data initiatives with organizational goals
• Led ERP implementation and digital transformation initiatives across operational departments • Managed change management activities including stakeholder engagement, training delivery, and communication plans • Coordinated cross-functional project teams ensuring alignment between IT and business units • Tracked project milestones, risks, and deliverables using structured PMO methodologies
• Designed and developed Business Intelligence dashboards and reports using Power BI and internal BI tools • Modelled business processes using BPMN/UML notation for data flow documentation and reporting requirements • Translated business needs into technical specifications for data extraction and transformation pipelines • Collaborated with business lines to identify KPIs and define reporting standards • Ensured data quality and consistency across reporting layers through validation and reconciliation processes