Description

Data Project Manager with 6+ years leading data governance, data quality management, and data architecture initiatives in banking and industry sectors. Proven expertise implementing Data Fabric platforms, MDM programs, and regulatory reporting solutions (FINREP, COREP,

BCBS 239). Specialized in data quality frameworks, metadata management, data lineage, and data stewardship processes that drive regulatory compliance and operational efficiency. Skilled in bridging technical teams and business stakeholders to deliver practical data solutions that improve data quality, speed up data access, and drive business results.

Industry field of expertise

Languages

English
Native or bilingual
French
Native or bilingual
Arabic
Native or bilingual
German
Conversational

Workplace preferences

Can work on-site

Paris (up to 50km)

BNP Paribas
Team Lead
BANKING AND INSURANCE
January 2024 - Today (2 years and 5 months)
Paris, France
Implement a Data Fabric platform empowering 9 referential teams with tools and services to strengthen Data Quality & Governance
Defined the Data Fabric vision and established a Data Quality Framework aligned with the Group's strategy, unifying standards across referentials.
Led a cross-functional team of 10 by fostering collaboration and continuous improvement, managing on-time, on-budget delivery, directing annual budget, resource allocation, and sourcing strategy.
Aligned Data Fabric roadmap with 9 referentials business priorities, accelerating time-to-value through strategic prioritization of high impact services.
Conducted annual performance reviews, setting individual objectives, providing feedback, and supporting career development.
Secured 1.2M€ in funding by demonstrating a strong return on investment from high-impact use cases.
Reduced manual data reconciliation effort and cut processing time by up to 15 man-days per month on some key use cases by implementing automated cross-referential controls via Data Fabric solutions.
Drove Data Fabric platform adoption across 9 different teams and 50+ users through hands-on training workshops, delivering best practice guides, and consistent communication.
Data Governance Data Quality Metadata Management Regulatory Compliance Business intelligence
BNP Paribas
Business Analyst
BANKING AND INSURANCE
April 2022 - December 2023 (1 year and 8 months)
Paris, France
Conduct comprehensive framing study to define Data Fabric implementation approach for improving data access, transformation and consumption across a domain with 9 referentials.
Conducted 30+ framing workshops with 9 referential teams to identify challenges related to data access, data consumption and data quality controls implementation.
Identified opportunities for effort mutualization, knowledge capitalization and operational efficiency gains across referentials.
Delivered initial Data Fabric services catalog and functional architecture, laying the foundation for future implementation.
Contributed to Data Fabric architecture design, collaborating with enterprise architects and tech leads, aligning requirements with infrastructure and security constraints, and integration with existing tools and platforms.
Identified 8+ high-value and potential reusable use cases to guide proof-of-concept and demonstrate early business impact.
Defined a Feature Maturity Assessment model to help plan Data Fabric services and use cases implementation.
Contributed to reporting, providing insights, alerts, risk mitigation strategies to steering committees and project sponsors.
Provided regular project reporting to steering committee and project sponsors, presenting status report, business reviews, alerts and risk mitigation strategies.
Data Quality Data Mesh Data Governance Business intelligence Data visualisation
Capgemini Invent
Data Management Consultant
RAW MATERIALS INDUSTRY
May 2021 - April 2022 (11 months)
Paris, France
Support the structuring of the Data Office and help strengthen referential data management, governance and data quality initiatives
across multiple business domains.
Analyzed strategic data challenges and business use cases related to master and referential data management and data quality improvement.
Defined end-to-end data stewardship processes for creation, modification and lifecycle management of master and referential data.
Specified roles and responsibilities of key stakeholders involved in defining, maintaining and governing master and referential data.
Collaborated with both business and technical stakeholders to align governance models with operational realities.
Contributed to the development of the Data Office service offering and to data culture enablement and awareness initiatives, promoting best practices among business teams.
Master Data Management Data Governance Data Quality Metadata Management Change Management