Anouar Amara

– Leading Master Data Management (MDM) initiatives to improve data quality, governance, and compliance across the organization. – Implementing data governance frameworks for MDM to ensure consistency, accuracy, and security of critical business data. – Piloting operational and organizational data governance, including coordination of governance processes and frameworks. – Organizing and leading operational and governance meetings with Data Stewards, Data Owners, and Custodians to improve MDM practices and ensure alignment across teams. – Managing data for specific domains, including finance, end products, and services, ensuring alignment with business objectives, and supporting the data owners and Stewards on their strategic Business requirements. – Designing and optimizing data models to enhance the integration and usability of financial and product-related master data. – Implementing Enterprise Data Management (EDM) to establish a unified approach for handling referential data across the company. – Collaborating with cross-functional teams to define and enforce data management policies, processes, and best practices. – Establishing data quality controls and performance metrics to monitor and improve data integrity across the enterprise. – Driving MDM platform enhancements to support business needs and regulatory compliance. – Configuration and specification of the solutions and usage of different Data Platforms (Azure Data Bricks, Power BI) for implementing and sharing the data quality rules. – Supporting new projects that require referential data by implementing a "Data by Design" approach, ensuring robust data architecture from the start.

– Defined and implemented a business capability model to optimize IT architecture and enable real-time data management. – Designed a real-time data exchange system for parcel traceability, routing, and sorting, ensuring data consistency across internal and external platforms. – Led the integration of an MDM solution (Semarchy) to consolidate and govern the group's reference data. – Organized workshops to establish a Data Catalogue, business glossaries, and metadata standards. – Defined and implemented data quality rules to ensure consistency, accuracy, and completeness of referential data. – Monitored data quality using dashboards and KPIs, tracking anomalies and improving corrective actions. – Established automated data quality controls to validate and cleanse critical business data. – Coordinated data governance initiatives across European Business Units to ensure alignment on referential data management. – Improved tracking and traceability tools, enhancing data quality and transparency for customers. – Definition of KPIs and data control processes to ensure consistent quality of systems and services.

– Analyzed and optimized data structures for tracking and labeling parcels, ensuring compliance with governance policies. – Implementing business glossaries containing definitions and descriptions of Business Objects and their characteristics to define new rules for Track & Trace systems. – Identified reference applications that create and consume data and proposed improvements to data life cycles. – Improved data quality controls by establishing KPIs and validation processes. – Led workshops to define business glossaries, metadata, and governance frameworks for Track & Trace systems, with architecture, development, business, and data teams. – Modeling functional links between various business objects in collaboration with Product Owners, Chief Data Officers, and project managers. – Mapping data and business processes for the Track & Trace domain. – Worked with IT teams to enhance data lifecycle management and reference data consistency. – Ensured GDPR compliance in data handling processes for international parcel tracking.

– specifying functional requirements for a MES (Manufacturing Execution System) to manage tire production using pull-flow (Kanban). – Implementing an MDM solution (Talend MDM) for storing and classifying static and dynamic reference data to provide MES with data conforming to designers' standards and expected quality. – Leading the completion of the business glossary in collaboration with data owners and project managers. – Animation of design sessions with business teams (design workshop). – Estimation of costs and development timelines for new features and monitoring development teams to ensure compliance with specifications and deadlines. – Established data quality controls for production, inventory, and logistics data, ensuring compliance with corporate standards. – Designing multiple APIs for data exchange between MDM, production management system, inventory management, and ERP. – The conception of a logistics management system to optimize transportation and inventory between suppliers and clients. – Ensured data security by enforcing data access policies (GDPR).

– Reverse-engineered and documented existing data models and data flows for the production traceability system. – Participated in data governance workshops to define metadata standards and quality rules for raw material tracking. – Designed and implemented data migration strategies to ensure seamless system upgrades. – Developed data validation and integrity checks to improve the accuracy and reliability of production data. – Participation in developing the new tire component traceability management solution in .NET. – Drafting test plans and scenarios, management and correction of anomalies, and documentation of validation plans.

– Analyzing the used system to identify main functionalities, holding various workshops with users to gather their needs and understand their daily use of the system. – Conducting a comparative study to identify solutions used by competitors (benchmark). – Contacting standard ERP solution providers to identify the one closest to the company's needs. – Selection of a customizable market solution to meet initial needs with modification requests to integrate all desired functionalities. – Preparation of quotes for purchase, installation, and customization with the chosen solution provider. – Managing the POC (Proof of Concept) with the provider and presenting the results to the steering committee.