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<p>OFFRE DE STAGE</p><p>&nbsp;</p><p>Data Analyst &amp; Intelligence Artificielle</p><p>&nbsp;</p><p>INFORMATIONS SUR LE STAGE</p><p>&nbsp;</p><p>**Poste :** Stagiaire Data Analyst &amp; Intelligence Artificielle</p><p>**Type :** Stage d’apprentissage</p><p>**Durée :** 1 mois minimum</p><p>**Rémunération :** Stage non rémunéré</p><p>**Lieu :** Jbel Gueliz, 40000</p><p>**Date de début :** Immédiate</p><p>À PROPOS DU STAGE</p><p>Chez nous recherchons un(e) **stagiaire Data Analyst &amp; Intelligence Artificielle**, curieux(se), analytique et passionné(e) par les données et les nouvelles technologies.</p><p>&nbsp;</p><p>Aujourd’hui, les données jouent un rôle essentiel dans la prise de décision. Associées à l’Intelligence Artificielle, elles permettent d’identifier des tendances, d’automatiser certaines tâches, de produire des analyses plus rapidement et de transformer les données en informations utiles.</p><p>&nbsp;</p><p>Ce stage d’apprentissage vous permettra de travailler sur des données réelles, de développer vos compétences analytiques et d’apprendre à utiliser **l’IA comme un véritable outil d’analyse et de productivité**.</p><p>&nbsp;</p><p>VOS MISSIONS</p><p>&nbsp;</p><p>Analyse de données &amp; Reporting</p><p>&nbsp;</p><p>* Participer à la collecte, au nettoyage et à l’organisation des données.</p><p>* Analyser des données afin d’identifier des tendances et des informations pertinentes.</p><p>* Préparer des tableaux de suivi et des reportings.</p><p>* Créer et mettre à jour des tableaux de bord.</p><p>* Participer à la préparation de rapports destinés à faciliter la prise de décision.</p><p>* Contrôler la qualité et la cohérence des données.</p><p>* Transformer des données brutes en informations claires et exploitables.</p><p>* Présenter les résultats de manière simple, structurée et compréhensible.</p><p>&nbsp;</p><p>Intelligence Artificielle &amp; Data</p><p>&nbsp;</p><p>* Utiliser des outils d’Intelligence Artificielle pour faciliter l’analyse des données.</p><p>* Exploiter **ChatGPT et d’autres outils d’IA** pour assister la recherche, l’analyse et l’interprétation des données.</p><p>* Utiliser l’IA pour identifier des tendances, générer des hypothèses et accélérer certaines analyses.</p><p>* Participer à l’automatisation de tâches répétitives liées au traitement des données.</p><p>* Explorer les possibilités de l’IA dans la création de rapports et de dashboards.</p><p>* Proposer des solutions permettant d’améliorer la qualité, l’organisation et l’exploitation des données.</p><p>* Expérimenter de nouvelles méthodes d’analyse combinant **Data Analytics et Intelligence Artificielle**.</p><p>&nbsp;</p><p>PROFIL RECHERCHÉ</p><p>&nbsp;</p><p>Nous recherchons une personne **analytique, curieuse, rigoureuse et désireuse d’apprendre**.</p><p>&nbsp;</p><p>Vous êtes idéalement :</p><p>&nbsp;</p><p>* Étudiant(e) en **Data Analytics, Data Science, Informatique, Statistiques, Économie, Finance, Gestion** ou domaine similaire.</p><p>* À l’aise avec les chiffres et l’analyse.</p><p>* Bonne maîtrise ou connaissances d’**Excel**.</p><p>* Des connaissances en **Power BI, SQL, Python ou autres outils d’analyse** constituent un atout.</p><p>* Intéressé(e) par l’Intelligence Artificielle et les nouvelles technologies.</p><p>* Familiarisé(e) avec **ChatGPT ou les outils d’IA**.</p><p>* Capable d’utiliser l’IA comme outil d’analyse, de recherche et de productivité.</p><p>* Rigoureux(se), organisé(e) et attentif(ve) aux détails.</p><p>* Doté(e) d’un esprit logique et d’une capacité à résoudre des problèmes.</p><p>* Autonome, motivé(e) et capable de prendre des initiatives.</p><p>* À l’aise en français ; la maîtrise de l’anglais est un atout.</p><p>&nbsp;</p><p>CE QUE VOUS ALLEZ DÉVELOPPER</p><p>&nbsp;</p><p>Ce stage vous permettra de développer des compétences pratiques en :</p><p>&nbsp;</p><p>**Data Analysis • Excel • Power BI • SQL • Reporting • Data Visualization • Dashboards • Data Cleaning • Business Intelligence • Intelligence Artificielle • Automatisation**</p><p>&nbsp;</p><p>Vous aurez l’opportunité de travailler sur des problématiques concrètes, de renforcer votre capacité d’analyse et d’apprendre à transformer les données en **insights utiles à la prise de décision**.</p><p>&nbsp;</p><p>Vous découvrirez également comment combiner les compétences traditionnelles du **Data Analyst** avec les nouvelles possibilités offertes par l’**Intelligence Artificielle**.</p><p>&nbsp;</p><p>COMMENT POSTULER ?</p><p>&nbsp;</p><p>Vous êtes passionné(e) par les données, l’analyse et les nouvelles technologies ?</p><p>&nbsp;</p><p>Vous souhaitez développer votre expérience dans un environnement combinant **Data Analytics et Intelligence Artificielle** ?</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company culture : <p><strong>Alten Maroc </strong>is defined by a deeply <strong>collaborative</strong> culture, focused on people, trust, and strong team support, with hands-on managers who guide and develop talent.<br> This environment is enhanced by a strong drive for <strong>innovation</strong>, encouraging creativity, initiative, and experimentation across projects.<br> A structured and disciplined organization ensures <strong>efficiency</strong>, rigor, and quality in engineering delivery.<br> <strong>Performance</strong> and ambition are part of the culture as well, supporting collective success while maintaining a positive and caring atmosphere. </p><br><br> <br> Job : <p>Your goal will be to facilitate and accelerate the development of all projects in the Data Science, Data Analysis, and Data Visualization departments of the Analytics Factory, by introducing DevOps processes, transversal tools, and expertise throughout the development cycle, from the first prototype to production deployment and ongoing maintenance.</p><br><br><p>You will be responsible for:</p><br><br><ul><li>Setting up, maintaining, and improving the continuous integration and deployment (CI/CD) processes for the analytical projects' cloud infrastructures (including AI and agent-based systems).</li><li>Administering and maintaining the shared services of the Analytics Factory (Airflow, Langfuse, semantic layer, etc.).</li><li>Ensuring compliance with Carrefour's best practices and security rules.</li><li>Identifying opportunities for improvement and automation of service offerings, while remaining attentive to the needs of the analytical teams.</li><li>Providing daily assistance to the engineering community: deployment, application configuration, access management, incident investigation, cloud cost optimization.</li><li>Deploying and managing Kubernetes clusters and associated applications.</li><li>Operating GCP (GKE, Cloud Storage, Cloud SQL, Cloud Monitoring).</li><li>Administering Apache Kafka from advanced configuration to production operation (performance, security, monitoring).</li><li>Implementing security and access management best practices.</li><li>Scripting in Bash, Python, or equivalent for automation.</li><li>Analyzing technical impacts and improving existing solutions.</li></ul> <br> Required profile : <p>Graduated with a Bac+5 degree from an engineering school or equivalent university program with a specialization in IT, or with equivalent significant experience.</p><br><br><p><u><strong>Experience</strong></u>: More than 7 years of experience in DevOps and/or Data Engineering.</p><br><br><p>Experience in the retail / mass distribution sector is an advantage.</p><br><br><p><u><strong>Required Skills:</strong></u></p><br><br><ul><li><p>Must have: software development, CI/CD, cloud deployment (GCP preferred), infrastructure as code, containerization and Kubernetes orchestration, deep understanding of network issues</p><br><br></li><li><p>Nice to have: GCP (GKE, Cloud Storage, Cloud SQL, Cloud Monitoring), Apache Kafka (advanced configuration, production), Bash / Python, relational databases, DevOps and Agile practices, cloud access management and security</p><br><br></li></ul> <br><br> </div>

<p><font dir="auto" ><font dir="auto" >Passionate about data and strategic decision-making? Join us as a Data &amp; Analytics Manager! As part of our business development, we are recruiting a Data &amp; Analytics Manager. You will play a key role in defining the data strategy, managing analytical projects, and supporting business teams through high-value-added analyses.</font></font></p><p><font dir="auto" ><font dir="auto" >Your tasks</font></font></p><ul><li><font dir="auto" ><font dir="auto" >Define </font></font><span ><font dir="auto" ><font dir="auto" >and manage the company's Data &amp; Analytics strategy.</font></font></span></li><li><font dir="auto" ><font dir="auto" >To supervise and support a team of data analysts and specialists.</font></font></li><li><font dir="auto" ><font dir="auto" >Design dashboards and performance indicators that meet the needs of the business.</font></font></li><li><font dir="auto" ><font dir="auto" >Collaborating with different departments to transform data into decision-making levers.</font></font></li><li><font dir="auto" ><font dir="auto" >Optimize the processes of data collection, processing and valorization.</font></font></li><li><font dir="auto" ><font dir="auto" >Leading automation, Business Intelligence and continuous improvement projects.</font></font></li><li><font dir="auto" ><font dir="auto" >Ensuring data quality, reliability and governance.</font></font></li></ul><p>Comp tences techniques</p><ul><li><font dir="auto" ><font dir="auto" >My mastery of SQL.</font></font></li><li><font dir="auto" ><font dir="auto" >Excellent mastery of Power BI (or equivalent Data Visualization tool).</font></font></li><li><font dir="auto" ><font dir="auto" >Good mastery of Python.</font></font></li><li><font dir="auto" ><font dir="auto" >Experience with databases (SQL Server, BigQuery, etc.).</font></font></li><li><font dir="auto" ><font dir="auto" >Knowledge of Cloud environments and ETL tools.</font></font></li></ul><p><font dir="auto" ><font dir="auto" >Do you want to use data to drive performance and join a stimulating environment? We would love to make the switch with you!</font></font></p><p><strong>Desired Candidate Profile</strong></p><p><font dir="auto" ><font dir="auto" >Master's degree (Bac+5) in Data, Computer Science, Statistics, Business Analytics or equivalent.</font></font></p><p><font dir="auto" ><font dir="auto" >Significant experience in Data Analytics, Business Intelligence or Data Management, with management experience.</font></font></p><p><font dir="auto" ><font dir="auto" >Excellent analytical, synthesis and communication skills.</font></font></p><p><font dir="auto" ><font dir="auto" >Leadership, initiative and results orientation.</font></font></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> The team<p><span>One of the most versatile teams of Artefact, our growing Data &amp;amp; Analytics team are present in many aspects of our data consulting projects: data collection, processing, and visualisation; but also giving insights and inputs on the business and digital media aspects.<br></span></p><br><p><span>Half of the team also works as the master of data solutions for our clients: dashboarding, business intelligence or web analysis.</span></p><br>&amp;nbsp;Mission<p><span>As a Data analyst, you will be conducting projects to accompany the transformation of your clients’ businesses through the effective collection, processing, and visualisation of data. It is up to you to extract valuable insights from our clients’ marketing-related data sources and to design dashboards for marketing decision-making while taking into account the business needs.</span></p><br><p><span>Depends on the mission(s), you might also find yourself accompanying our clients in the conception and implementation of data architectures and data pipelines, from collection to monitoring.</span></p><br><p>&amp;nbsp;</p><br>Desirable skills<p><span>If:<br></span></p><br><ul><li><span>You have experience or have knowledge in data driven environment<br></span></li><li><span>Master of Data collection and data visualisation tools, programming in SQL or Python are your jam;<br></span></li><li><span>Some of these speak to you: Cloud technologies, API connection, ETL, Advertising tool…</span></li></ul><p><span>Or you are interested in learning those skills and use it in your work, contact us!</span></p><br><p>&amp;nbsp;</p><br>Why should you join us<ul><li>Artefact is the place to be: come and build the future of data and marketing</li><li>Innovation: We have a passion for creating impacting projects, and believe innovation can come from anyone.</li><li>Action: We make things rather than telling people how to make them.</li><li>Collaboration: We believe in bringing talented people together, in winning together, and in learning from each other.</li></ul><p><strong>Come join us!</strong></p><br> </div>

<p><font dir="auto" ><font dir="auto" >In this role, your main responsibilities will be: Designing and developing robust and automated data pipelines. Collecting and integrating data from various sources. Designing and maintaining ETL/ELT processes. Developing and optimizing SQL/BigQuery queries. Structuring datasets and models for BI and analytics. Designing, developing, and maintaining Power Automate workflows. Developing processes and automations in Python. Ensuring data quality, availability, and traceability. Monitoring pipelines and resolving data processing incidents. Optimizing BigQuery/GCP performance and costs. Implementing best practices for data security and access management. Collaborate closely with Data Analysts and business teams to provide reliable and easily usable datasets in Power BI. Document the architectures, flows and processes developed.</font></font></p><p><strong>Desired Candidate Profile</strong></p><p><font dir="auto" ><font dir="auto" >Master's degree (Bac+5) required. Rigorous, autonomous, with the ability to solve technical problems, an interest in optimization and automation, strong communication skills, and the ability to work with both technical and functional profiles. Experience: 1-3 years. Skills: Essential: Strong SQL skills. Practical experience with Google Cloud Platform (GCP). Strong BigQuery skills. Proficiency in Python applied to data processing and automation. Good knowledge of Power Automate for workflow design and automation. Understanding of data architectures and ETL/ELT principles. Minimum 3 years of experience in Data Engineering or similar roles. Desirable: Experience with certain GCP services such as Cloud Storage, Cloud Functions/Cloud Run, Pub/Sub, Dataflow, or Composer. Knowledge of partitioning, clustering, and BigQuery query optimization issues. Experience with APIs and various data ingestion methods. Knowledge of Git and CI/CD. Knowledge of Power BI is appreciated to understand the needs of the reporting layer. Understanding of Data Governance, IAM, and GCP security. Knowledge of the Microsoft Power Platform ecosystem, particularly Power Apps, Power BI, and Dataverse.</font></font></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Who we are ?</strong></p><br><p><span>Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.</span></p><br><p><span>Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.</span></p><br><p><span>We have 850 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.</span></p><br><p>&amp;nbsp;</p><br><p>Over the last few years, Data Science at Artefact Morocco has skyrocketed in terms of novel projects coupled with a growing diverse team. We tackle use cases that bring business value and serve different countries. Our area of expertise involves Applied Mathematics &amp;amp; Statistics for Machine Learning and Deep Learning, with a recently strong focus on Generative AI.&amp;nbsp;</p><br><p><strong>Responsibilities : </strong>In addition to the core Data Science and ML Engineering Team, you will work with different stakeholders to:</p><br><ul><li>Qualify the feasibility of Use Cases, translating business challenges into technical formulations</li><li>Define the business and statistical hypothesis, and build the solution followed by testing and validation</li><li>For those Use Cases that are validated, you will help develop a production-ready solution.</li></ul><p>When consulted on a business challenge, you propose adequate AI or machine learning options to address this need. You act as an expert on the best algorithm to choose given the specific context and constraints. You are a key contributor to the design of the solution. You develop data visualisation features to generate insights and support data storytelling. You iterate with the business in an agile way to develop, adapt and refine the solution to enable maximum business impact. You design, build, maintain, and troubleshoot the data models integrated into the solutions delivered :&amp;nbsp;</p><br><ul><li>Assess the quality of the data; clean and aggregate when necessary</li><li>Compare and choose the right algorithms based on defining the right statistical hypothesis</li><li>Develop and train models</li><li>Follow principles of MLOps when moving models to productions</li><li>Troubleshoot the models in production</li></ul><p><strong>Profile Minimum requirements</strong> :&amp;nbsp;</p><br><ul><li>Must have at least 3 years of prior Data Science experience</li><li><strong>VERY</strong>Proficient in Python</li><li>Has a Master's degree in Applied Mathematics, Advanced Statistics, and Data Science or a related discipline</li><li>Excellent interpersonal and communication skills</li><li>Strong knowledge of data science algorithms and at least one proven experience in developing Statistical and ML algorithms</li><li>Ideally Fluent in English</li></ul><p><strong>Preferred requirements</strong> :&amp;nbsp;</p><br><ul><li>Preferred experience in Consulting;</li><li>Preferred experience in Cloud Technologies;</li><li>Good knowledge of Spark;</li><li>Good knowledge of MLOps principles.<br></li></ul><p><strong>Come join us !&amp;nbsp;</strong></p><br> </div>

<p><font dir="auto" ><font dir="auto" >Gather and analyze the needs of business teams and translate them into KPIs and reporting solutions. Design, develop, and maintain Power BI dashboards. Build relevant and high-performing data models. Develop measures and indicators in DAX. Perform necessary transformations with Power Query. Ensure the quality, consistency, and reliability of the presented data. Optimize the performance of Power BI reports and models. Implement user-friendly visualizations to facilitate analysis and decision-making. Participate in the automation and industrialization of reporting. Collaborate with business and Data Engineering teams to identify and leverage the right data sources. Document the developed KPIs, models, and dashboards.</font></font></p><p><strong>Desired Candidate Profile</strong></p><ul><li><font dir="auto" ><font dir="auto" >Engineering degree (Master's level)</font></font></li><li><font dir="auto" ><font dir="auto" >Very good mastery of Power BI.</font></font></li><li><font dir="auto" ><font dir="auto" >Good luck with your DAX trip.</font></font></li><li><font dir="auto" ><font dir="auto" >Good knowledge of Power Query and data modeling.</font></font></li><li><font dir="auto" ><font dir="auto" >Good understanding of the principles of Data Visualization and Data Storytelling.</font></font></li><li><font dir="auto" ><font dir="auto" >Ability to understand functional requirements and translate them into relevant indicators.</font></font></li><li><font dir="auto" ><font dir="auto" >Minimum 2 years of experience in a similar position.</font></font></li><li><font dir="auto" ><font dir="auto" >Knowledge of SQL.</font></font></li><li><font dir="auto" ><font dir="auto" >Experience or knowledge of Google BigQuery.</font></font></li><li><font dir="auto" ><font dir="auto" >Knowledge of a Google Cloud Platform (GCP) environment.</font></font></li><li><font dir="auto" ><font dir="auto" >Concepts of governance and data quality.</font></font></li><li><font dir="auto" ><font dir="auto" >Knowledge of BigQuery cost/query optimization issues would be a plus.</font></font></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>&amp;nbsp;</p><br>Who are we?<p>Artefact is a global leader in data and AI consulting, helping organizations transform data into measurable business impact. We combine deep expertise in data, artificial intelligence and digital transformation to solve complex business challenges and accelerate innovation.</p><br><p>With<span>&amp;nbsp;</span><strong>1,700+ experts across 25+ offices worldwide</strong>, Artefact supports leading international companies in designing and deploying cutting-edge data platforms, AI solutions and cloud architectures that create long-term value.</p><br><p>At<span>&amp;nbsp;</span><strong>Artefact Casablanca</strong>, you'll join one of our fastest-growing hubs, working alongside highly skilled Data Engineers, Data Scientists, Analytics Consultants and Cloud Experts on ambitious international projects. Our culture is built around excellence, collaboration, continuous learning and entrepreneurship.</p><br><p>If you are passionate about technology, leadership and delivering business impact through data, we'd love to meet you.</p><br>Your Role<p>As a<span>&amp;nbsp;</span><strong>Manager Data Engineering</strong>, you will play a strategic role in delivering large-scale Data &amp;amp; AI transformation programs while leading and growing high-performing engineering teams.</p><br><p>You will combine technical expertise, people leadership and client engagement to build modern, scalable and cloud-native data platforms.</p><br>Your ResponsibilitiesLead Data Engineering Projects<ul><li>Lead the design and delivery of modern cloud data platforms.</li><li>Define scalable architectures aligned with business and technical requirements.</li><li>Ensure engineering excellence, code quality, security and performance.</li><li>Drive best practices across Data Engineering, DevOps and MLOps.</li></ul>Manage &amp;amp; Grow Teams<ul><li>Lead, mentor and coach a team of Data Engineers.</li><li>Support consultants in their technical development and career progression.</li><li>Foster a collaborative, high-performance and knowledge-sharing culture.</li><li>Participate in recruitment, onboarding and capability building.</li></ul>Partner with Clients<ul><li>Act as a trusted advisor for clients throughout their data transformation journey.</li><li>Understand business challenges and translate them into scalable technical solutions.</li><li>Lead technical workshops and architecture discussions.</li><li>Communicate effectively with both technical and executive stakeholders.</li></ul>Drive Innovation<ul><li>Stay at the forefront of Cloud, Data Engineering and AI technologies.</li><li>Promote engineering best practices and reusable frameworks.</li><li>Contribute to Artefact's internal communities, technical events and innovation initiatives.</li></ul>Your Profile<p>We're looking for passionate leaders who combine strong technical expertise with excellent communication and people management skills.</p><br>Technical Skills<ul><li>Strong experience designing and implementing modern Data Platforms.</li><li>Excellent knowledge of Python and SQL.</li><li>Strong experience with cloud ecosystems such as Google Cloud Platform, AWS and/or Microsoft Azure.</li><li>Experience with distributed data processing technologies including Spark, Beam or Databricks.</li><li>Expertise with orchestration tools such as Airflow or Composer.</li><li>Experience building CI/CD pipelines and Infrastructure as Code.</li><li>Solid understanding of Docker and Kubernetes.</li><li>Good knowledge of DevOps, DataOps and MLOps practices.</li><li>Experience with relational and cloud-native databases.</li><li>Understanding of API development and microservices architecture.</li></ul>Leadership Skills<ul><li>Proven experience leading Data Engineering teams.</li><li>Ability to mentor engineers and foster technical excellence.</li><li>Strong project management and delivery capabilities.</li><li>Ability to anticipate risks and make strategic technical decisions.</li><li>Excellent stakeholder management and communication skills.</li><li>Comfortable presenting complex technical topics to business audiences.</li></ul>Preferred Qualifications<ul><li>Engineering degree or Master's in Computer Science, Data Engineering or related field.</li><li>7+ years of experience in Data Engineering.</li><li>Previous experience leading teams in consulting or large-scale transformation projects.</li><li>Professional proficiency in English (French is a plus).</li></ul>What You'll Find at Artefact CasablancaImpactful International Projects<p>Work on large-scale Data &amp;amp; AI transformation programs for leading international organizations across multiple industries.</p><br>Cutting-Edge Technologies<p>Build modern cloud-native solutions using the latest technologies and engineering best practices.</p><br>Leadership Opportunities<p>Lead talented teams, shape technical strategy and influence major transformation programs.</p><br>Continuous Learning<p>Access technical certifications, internal academies, conferences and continuous learning opportunities with major cloud providers.</p><br>Fast Career Growth<p>Whether your ambition is technical expertise, people management or client leadership, Artefact offers clear and accelerated career paths.</p><br>A Collaborative Culture<p>Join an international community of passionate experts who believe in knowledge sharing, innovation and collective success.</p><br>Our Tech Stack<ul><li>Python</li><li>SQL</li><li>Apache Spark</li><li>Airflow / Composer</li><li>Google Cloud Platform (BigQuery, Dataflow, GKE, Composer, Cloud Storage)</li><li>AWS (EKS, Lambda, Glue, RDS, Redshift)</li><li>Microsoft Azure (Databricks, Data Factory, Synapse)</li><li>Docker</li><li>Kubernetes</li><li>Terraform</li><li>GitHub Actions / GitLab CI</li><li>Ansible</li><li>Redis</li><li>Kafka</li></ul>Why Join Artefact Casablanca?<p>Because you'll join one of the world's leading Data &amp;amp; AI consulting firms, work alongside exceptional engineers, tackle ambitious international projects and have the opportunity to shape the future of Data Engineering while accelerating your own career.</p><br><p><strong>Ready to build the future of Data &amp;amp; AI with us?</strong></p><br><p><strong>Join Artefact Casablanca.</strong></p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> Company culture : <p><strong>Axa Services Maroc</strong>&nbsp;operates within a strongly <strong>collaborative culture</strong>, where people, trust, and high-quality professional relationships are central. The company <strong>promotes</strong> close and supportive management, encouraging accountability, development, and teamwork. This human-centered environment is <strong>reinforced</strong> by robust organizational practices that ensure reliability and operational efficiency. It is <strong>balanced</strong> by a performance-oriented mindset and a measured openness to innovation, supporting collective success. </p><br><br> <br> Job : <p><strong>Role and main mission:</strong></p><br><br><p><br><strong>Reporting to the Head of the Compliance, Internal Control, and Security Department,</strong> your main mission is to <strong>ensure the organization's compliance with current regulations (particularly GDPR) regarding personal data protection, and to manage risks related to the confidentiality and security of data.</strong></p><br><br><p>Main responsibilities</p><br><br><p><br><strong>1. Regulatory and strategic watch</strong></p><br><br><p>Continuously monitor regulatory changes (GDPR, local laws, CNDP recommendations, etc.)<br>Support management on legal and strategic issues related to data protection</p><br><br><p><strong>2. Data compliance and governance</strong></p><br><br><p>Define, deploy, and maintain the personal data protection policy<br>Manage and update the register of processing activities<br>Implement and manage:</p><br><br><p>Consent management systems<br>Procedures for exercising data subject rights<br>Data breach management processes</p><br><br><p>Conduct impact assessments (DPIA) and support business projects<br>Lead structural topics: data mapping, cookies, Privacy by Design<br>Supervise data purging campaigns (structured and unstructured)<br>Manage the dedicated personal data mailbox<br>Handle requests for exercising rights and complaints<br>Ensure processing compliance and monitor declarations to the CNDP</p><br><br><p><strong>3. Awareness and training</strong></p><br><br><p>Design and deliver training and awareness sessions for employees<br>Promote a data protection culture within the organization</p><br><br><p><strong>4. Incident management and audits</strong></p><br><br><p>Supervise the management of incidents related to personal data (breaches, leaks)<br>Keep the incident register up to date<br>Lead or coordinate GDPR compliance audits<br>Define and monitor corrective action plans</p><br><br><p><strong>5. Relations with control authorities</strong></p><br><br><p>Be the preferred point of contact with the CNDP<br>Ensure mandatory declarations (incidents, files, reports)<br>Manage exchanges and controls with authorities</p><br><br><p><strong>6. Advice and support</strong></p><br><br><p>Support business units and data controllers in their projects<br>Integrate GDPR requirements from the design stage (Privacy by Design / by Default)</p><br><br> <br> <br> Required profile : <p>You have <strong>a Master's degree (Bac + 5) in a legal field (business law, digital law, personal data law), computer science (information system security), or a business school with a specialization in compliance or risk management.</strong></p><br><br><p><strong>Professional experience:</strong><br>Minimum <strong>2 to 3 years of experience in similar roles</strong> (lawyer specializing in personal data, compliance auditor, or GDPR consultant)</p><br><br><ul><li>In-depth knowledge of GDPR</li><li>Knowledge of "Privacy by Design" and "Privacy by Default" methodologies</li><li>Management of data processing mapping tools</li><li>Information system security (ISS) principles</li><li>Project management</li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are growing!<br> We are currently looking to hire a Data Engineer - Web Scraping to work with us remotely on a 5 months contract.<br> Who we are: Founded in 2006, today, we’re proud to be a global business.<br> From Shanghai to Paris, we have 12 offices and operate across four continents in 70 countries.<br> We are home to over 160 professionals from around the world, working together to serve more than 200 luxury clients.<br> At CXG, we love to evolve, elevate, and transform experiences while bringing brand promises to life.<br> We offer strategic solutions that impact performance and elevate the customer experience of some of the world’s most iconic premium and luxury brands.<br> What you will be doing: Maintain and manage website scraping configurations using Python.<br> Monitor scraping configurations for errors and potential crashes.<br> Oversee retrieved data to detect potential issues and blockages.<br> Coordinate with stakeholders to understand scraping task requirements and report issues.<br> Prepare and share periodic reports on scraping activities with stakeholders.<br> Develop necessary pipelines to ingest data into the Datalake and perform required transformations.<br> What you will bring along: Proven experience in data engineering with expertise in designing and implementing scalable data architectures.<br> Strong experience with ETL processes, data modeling, and data warehousing (Airflow &amp; DBT preferred).<br> Expertise in database technologies, both relational (SQL) and NoSQL.<br> Knowledge of cloud platforms, particularly Azure.<br> Solid understanding of data security measures and compliance standards.<br> Excellent Python experience for data engineering and automation.<br> Strong collaboration skills to work closely with data scientists and analysts.<br> Ability to optimize data pipelines for performance and efficiency.<br> Ability to build, test, and maintain tasks and projects.<br> Experience with version control systems, such as Git.<br> Hands-on experience with Airflow and/or DBT.<br> Experience with Terraform for infrastructure management.<br> Minimum 2 years of experience in a similar role.<br> Strong academic background in a relevant field.<br> Fluent in English (French is a plus).<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Who we are</strong></p><br><p>Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.</p><br><p>Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.</p><br><p>We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.</p><br><br><p><strong>What you will be doing: Key responsibilities</strong></p><br><p>As a Junior Data Scientist, your role will encompass:</p><br><ul><li>Leading &amp;nbsp;and conducting ambitious projects in the transformation of clients through data</li><li>Having a contributor role in raising the level of competencies of the data science team</li><li>Harnessing the expertise from the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients</li><li>Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department</li><li>You’ll also participate in international projects. Business travel is something you enjoy!</li></ul><p>Among your responsibilities as Senior Data Scientist, you will be responsible for:</p><br><p><span><strong>Leading data projects</strong></span></p><br><ul><li>Managing the resources on your projects to ensure challenges and skills are well match</li><li>Securing delivery on your projects</li><li>Communicating the successes of your projects among the company</li><li>Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs</li><li>Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring</li></ul><p><span><strong>Being a great tech role model</strong></span></p><br><ul><li>Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives</li><li>Researching and developing new technical approaches to address problems efficiently</li><li>Sharing best practices and contributing to Artefact’s institutional knowledge</li><li>Embodying Artefact’s values and inspiring others to do the same</li></ul><p><strong>Qualifications: Education &amp;amp; experience required</strong></p><br><ul><li>A Master’s degree in machine learning, mathematics, computer science, or related fields</li><li>2+ years of hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus)</li><li>Strong experience and knowledge of data processing, data modeling, algorithms, and data architecture</li><li>Experience leading &amp;nbsp;a technical project in a business context</li><li>Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact</li></ul><p><strong>What we are looking for</strong></p><br><ul><li><strong>A Doer:</strong>&amp;nbsp;you get things done and inspire your teams to do the same</li><li><strong>An Analyst:&amp;nbsp;</strong>you LOVE data and think every company should take their decisions with facts</li><li><strong>A Pragmatist:</strong>&amp;nbsp;you have a hacker mindset and always find the quick wins</li><li><strong>A Mentor:</strong>&amp;nbsp;your clients and teams naturally seek for advice</li><li><strong>An Adventurer:&amp;nbsp;</strong>you’re an entrepreneur constantly looking for problems to solve</li></ul><p><strong>Why you should join us</strong></p><br><ul><li><strong>Artefact is the place to be:&amp;nbsp;</strong>come and build the future of marketing</li><li><strong>Progress:</strong>&amp;nbsp;every day offers new challenges and new opportunities to learn</li><li><strong>Culture:</strong>&amp;nbsp;join the best team you could ever imagine</li><li><strong>Entrepreneurship:&amp;nbsp;</strong>you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!</li></ul> </div>

<p><font dir="auto"><font dir="auto">As a </font><em><strong><font dir="auto">Senior Data Scientist</font></strong></em><font dir="auto"> , you will be responsible for the following tasks:</font></font><em> <strong><font dir="auto"></font></strong> </em><font dir="auto"></font></p> <p> <strong><font dir="auto"><font dir="auto">- Development of predictive and prescriptive models:</font></font></strong> </p> <ul> <li><font dir="auto"></font><strong><font dir="auto"><font dir="auto">Design and train Customer Segmentation</font></font></strong><font dir="auto"><font dir="auto"> models </font><font dir="auto">(clustering, RFM, behavioral profiling).</font></font></li> <li><font dir="auto"></font><strong><font dir="auto"><font dir="auto">Develop personalized recommendation</font></font></strong><font dir="auto"><font dir="auto"> engines </font><font dir="auto">(collaborative filters, content-based, hybrid systems) to improve cross-selling and upselling.</font></font></li> <li> <strong><font dir="auto"><font dir="auto">Developing Prediction and Detection Models:</font></font></strong><font dir="auto"><font dir="auto"> Churn, propensity, risk scoring, transaction volume forecasting </font></font><strong><font dir="auto"><font dir="auto">and detection of anomalies / behavioral rules for the fight against money laundering (AML / Anti Money Laundering)</font></font></strong> </li> </ul> <p> <strong><font dir="auto"><font dir="auto">- </font></font></strong> <strong><font dir="auto"><font dir="auto">Data and model engineering:</font></font></strong> </p> <ul> <li><font dir="auto"><font dir="auto">Collaborating with Data Engineers to define features and prepare the necessary training pipelines from the Datalakehouse (Cassandra, Hive, etc.).</font></font></li> <li><font dir="auto"><font dir="auto">Implement </font></font><strong><font dir="auto"><font dir="auto">MLOps</font></font></strong><font dir="auto"><font dir="auto"> best practices : model versioning, deployment automation, production performance monitoring (drift, bias).</font></font></li> </ul> <p> <strong><font dir="auto"><font dir="auto">- Added value to the business:</font></font></strong> </p> <ul> <li><font dir="auto"><font dir="auto">Translate business needs (e.g., reduce churn, increase conversion rate) into Data Science problems.</font></font></li> <li><font dir="auto"><font dir="auto">Interpret the model results and communicate the insights to Product Owners and business stakeholders.</font></font></li> <li><font dir="auto"><font dir="auto">Contribute to the enrichment of source systems and the Datalakehouse with predictive data.</font></font></li></ul><p><strong>Desired Candidate Profile</strong></p><strong>Qualifications </strong><p></p> <ul> <li> <strong><font dir="auto"><font dir="auto">Education:</font></font></strong><font dir="auto"><font dir="auto"> Engineering degree (Bac+5) with a specialization in Data Science, Artificial Intelligence or Statistics/Applied Mathematics.</font></font></li> <li> <strong><font dir="auto"><font dir="auto">Experience:</font></font></strong><font dir="auto"><font dir="auto"> 35 years of confirmed experience on similar predictive modeling and recommendation systems projects.</font></font></li> <li> <strong>Comp tences Techniques :</strong> </li> <li> <strong><font dir="auto"><font dir="auto">Mastery of ML:</font></font></strong><font dir="auto"><font dir="auto"> Classical algorithms (regression, classification, clustering, time series) and Deep Learning (if applicable).</font></font></li> <li> <strong>Frameworks IA :</strong> Ma trise des biblioth ques Python (Scikit-learn, Pandas, XGBoost, TensorFlow ou PyTorch).</li> <li> <strong><font dir="auto"><font dir="auto">Big Data &amp; Tools:</font></font></strong><font dir="auto"><font dir="auto"> Knowledge of distributed environments (Spark/PySpark) and NoSQL databases (Cassandra, MongoDB).</font></font></li> <li> <strong><font dir="auto"><font dir="auto">Ops &amp; CI/CD:</font></font></strong><font dir="auto"><font dir="auto"> Familiarity with containerization environments (Docker) and model lifecycle management (MLOps).</font></font></li> <li> <strong><font dir="auto"><font dir="auto">technological environment:</font></font></strong><font dir="auto"><font dir="auto"> Cloudera Data Platform, Microservices Architecture, Kafka, API Gateway (Axway), Keycloak.</font></font></li> <li> <strong><font dir="auto"><font dir="auto">Methodology:</font></font></strong><font dir="auto"><font dir="auto"> Working in Agile mode (Scrum of Scrums, weekly follow-up committees).</font></font></li> <li> <strong>Collaboration :</strong> quipe pluridisciplinaire (Data Engineers, Lead Tech, Product Owners, Experts m tier).</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><span>Participer au cadrage technique du projet et Ã&nbsp; l’analyse des sources de données.</span><br><span>Réaliser le Data Mapping entre les données Apollo en couche Silver et les données commerciales existantes en couche Platinum.</span><br><span>Concevoir les règles de transformation et de jointure des données.</span><br><span>Développer les pipelines de transformation sous Databricks / Microsoft Fabric.</span><br><span>Développer les scripts PySpark et SQL nécessaires Ã&nbsp; la création des tables Platinum Merchandising.</span><br><span>Croiser les données spatio-temporelles Apollo avec les faits de ventes, stocks et démarque.</span><br><span>Mettre en place les modèles de données nécessaires aux analyses Merchandising.</span><br><span>Garantir la qualité, la cohérence et la fiabilité des données produites.</span><br><span>Participer aux tests techniques et Ã&nbsp; la validation des transformations.</span><br><span>Collaborer avec le Business Analyst et le Data Analyst Power BI pour assurer l’adéquation entre les données produites et les besoins décisionnels.</span><br><span>Contribuer Ã&nbsp; la documentation technique et au transfert de connaissances.</span><br></span><br><span>Profil<span>Plus de 5 ans d’expérience en Data Engineering.</span><br><span>Maîtrise d’</span><b><span>Azure Databricks</span></b><span>.</span><br><span>Maîtrise de </span><b><span>PySpark</span></b><span> et </span><b><span>SQL</span></b><span>.</span><br><span>Expérience sur </span><b><span>Microsoft Fabric</span></b><span>.</span><br><span>Bonne maîtrise des architectures Data Lake / Lakehouse et des couches de données.</span><br><span>Expérience en modélisation décisionnelle complexe.</span><br><span>Maîtrise des jointures et transformations de données spatio-temporelles.</span><br><span>Expérience dans la construction de pipelines de données et de tables analytiques.</span><br><span>Bonne compréhension des enjeux de qualité, de performance et de fiabilité des données.</span><br><span>Une expérience dans le Retail / Grande Distribution constitue un atout.</span><br></span><br> </div>

<p><font dir="auto" ><font dir="auto" ><b>Job Description</b> As a Senior Data Scientist, you will be responsible for the following tasks: - Development of predictive and prescriptive models: Design and train Customer Segmentation models (clustering, RFM, behavioral profiling). Develop personalized recommendation engines (collaborative filters, content-based filters, hybrid systems) to improve cross-selling and upselling. Develop Prediction and Detection models: Churn, propensity, risk scoring, transaction volume forecasting, and detection of anomalies/behavioral rules for anti-money laundering (AML). - Data and model engineering: Collaborate with Data Engineers to define features and prepare the necessary training pipelines from the Data Lakehouse (Cassandra, Hive, etc.). Implement MLOps best practices: model versioning, deployment automation, and production performance monitoring (drift, bias). - Business value delivery: Translate business needs (e.g., reduce churn, increase conversion rate) into Data Science problems. Interpret model results and communicate insights to Product Owners and business stakeholders. Contribute to enriching source systems and the Data Lakehouse with predictive data.</font></font></p><p><strong>Desired Candidate Profile</strong></p><h2><font dir="auto" ><font dir="auto" >Qualifications</font></font></h2><p><font dir="auto" ><font dir="auto" >Education: Engineering degree (Bac+5) with a specialization in Data Science, Artificial Intelligence or Statistics/Applied Mathematics.</font></font></p><p><font dir="auto" ><font dir="auto" >Experience: 35 years of confirmed experience on similar predictive modeling and recommendation systems projects.</font></font></p><p><font dir="auto" ><font dir="auto" >Technical Skills: Mastery of Machine Learning: Classic algorithms (regression, classification, clustering, time series) and Deep Learning (if applicable). AI Frameworks: Mastery of Python libraries (Scikit-learn, Pandas, XGBoost, TensorFlow, or PyTorch). Big Data &amp; Tools: Knowledge of distributed environments (Spark/PySpark) and NoSQL databases (Cassandra, MongoDB). Ops &amp; CI/CD: Familiarity with containerization environments (Docker) and model lifecycle management (MLOps). Technological ecosystem: Cloudera Data Platform, Microservices Architecture, Kafka, API Gateway (Axway), Keycloak.</font></font></p><p><font dir="auto" ><font dir="auto" >Methodology: Agile working methodologies (Scrum of Scrums, weekly progress meetings). Collaboration: multidisciplinary team (Data Engineers, Lead Tech, Product Owners, Subject Matter Experts).</font></font></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>&amp;nbsp;</p><br><p><strong>Who are we ?</strong></p><br><p>Artefact is a new generation of a data service provider, specialising in data consulting and data-driven information system, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.</p><br><p>Our broad range of data-driven solutions in data consulting and information system are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.</p><br><p>We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.</p><br><p>To support and develop its growth, Artefact Morocco is looking for the next talents of the data division to join the engineering team. Organized in feature team, you will work in project mode (ou pizza team) to&amp;nbsp; advise your clients on their IA problematics, machine learning and Big Data. The projects you will work on can go from the migration of infrastructure to the Cloud (Deezer) to the construction of a predictive model&amp;nbsp; of the water rises (Greenpeace).</p><br><p><strong>Your responsibilities:</strong></p><br><ul><li><strong>Innovate</strong><span>. You will work with your team which is made up of consultants, data scientists, creatives and engineers to identify your clients needs and define innovatives solutions.&amp;nbsp;<br></span></li><li><strong>Build. </strong><span>You’ll take ownership of the solution from start to end. You manage both conception and implementation, while also optimising the performance and scalability.&amp;nbsp;&amp;nbsp;<br></span></li><li><strong>Train. </strong><span>You will work in a collaborative&amp;nbsp; team which champions knowledge sharing. You will coach others, keep abreast of industry news/updates and get stuck into training sessions with our business partners and suppliers, such as Google &amp;amp; Amazon.&amp;nbsp;<br></span></li><li><strong>Communication.</strong><span> You will regularly attend events and conferences to share your knowledge, learnings and success, with the capability of presenting and communicating&amp;nbsp;</span></li></ul><p><strong>Your mindset&amp;nbsp;</strong></p><br><ul><li>Curious: you are always seeking innovative solutions for your clients. You are involved in the whole data value chain, back-end, big data infrastructure, ML model industrialisation…</li><li>Evangelist: sharing your knowledge is essential for you and you actively participate in the diffusion of information within Artefact (seminaries, formations, certifications)</li><li>Entrepreneurial: you bring solutions, new ideas, within your team at Artefact</li></ul><p><strong>Profile :</strong></p><br><ul><li>You act on the whole value chain of projects (infrastructures and platforms creation, data collection, application of machine learning models, REST APIs creations, test-driven development, CI/CD, ...)</li><li>Your studies involved software engineering, and you have experience in DevOps / DevSecOps</li><li>You know how to set up and deploy ML model provided by our data scientists</li><li>You have a good knowledge of Python</li><li>You have an intimate understanding of SQL databases (PostgreSQL, MySQL, SQLServer)</li><li>Experience with managed cloud databases (BigQuery, Firestore, Redshift, CosmoDB, …) and indexation systems (ElasticSearch, Vespa) is a plus</li><li>You are really skilled in the command line *nix</li><li>You are familiar or have already used cloud technologies such as GCP or AWS</li><li>You have already used big data and microservices technologies such as Spark, Beam, Airflow and Docker (K8S is an asset)</li><li>You can popularize technical terms and solutions to business oriented profiles, you can work in a team with very diversified profiles</li><li>You know how to prioritize your tasks, respect deadlines or raise alerts when they are at risk</li><li>You can manage a team, coach juniors, identify their axes of progress</li><li>You can anticipate risks in projects from the design phase</li><li>You have a good level of English</li></ul><p><strong>Why join us :</strong></p><br><ul><li><span>&amp;nbsp;Innovative projects and technologies, exciting</span></li><li><span>&amp;nbsp;Really competent team, co-progression guaranteed</span></li><li><span>Strong ambition for the data department, full of progression opportunities (technical, management)</span></li><li>Recent Stack : Python, Spark, Google Cloud Platform (BigQuery, Dataflow, GKE, Composer, ...), AWS (EKS, Lambda, RDS), MS Azure (Databricks, Data Factory), Ansible, Docker, Kubernetes, Redis, Airflow...</li></ul><p><strong>Come join us !</strong></p><br><p>&amp;nbsp;</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p> Ce que nos collaborateurs aiment le plus chez nous <span>❤</span> : Pour consulter leurs avis certifiés </p><br><br> <br> <br> Company culture : <p> <strong>Sofrecom Maroc</strong> stands out for its <strong>strongly collaborative culture</strong>, where people, trust and employee well-being are central priorities. A close management approach promotes support, accountability and long-lasting teamwork. This collaborative foundation is complemented by a <strong>notable innovation dimension</strong>, encouraging initiative, agility and experimentation. <strong>Structured processes</strong> ensure reliability and operational efficiency, while performance-driven practices play a more supportive and balanced role. </p><br><br> <br> <br> Job : <p>As part of the Cyber Threats Mitigation Crash Program launched to strengthen the cybersecurity and resilience of Orange Middle East and Africa (OMEA), a specific component is dedicated to Personal Data Protection. This aims to enhance OMEA subsidiaries' capacity to prevent, qualify, document, and manage personal data breaches in the context of cyberattacks or operational crises.<br>Within the DPO Office OMEA, and in close collaboration with MEA-Sec, local legal departments, cybersecurity teams, BCCM, IT/Network, and communication departments, the consultant will contribute for 12 months to the design, structuring, deployment, and operational management of this program in the OMEA region.<br>The consultant will primarily focus on the following crash program workstreams:<br>• Data Privacy Playbook ;• Privacy-by-design ;• Data Loss Prevention ;• Data Breach Response PlanDescription of activitiesThe consultant's main activities are as follows:1. Structuring the Data Privacy Program</p><br><br><ul><li>Contribute to the scoping, governance, and management of the Personal Data Protection component of the OMEA crash program.</li><li>Define, with the OMEA DPO and MEA-Sec, the roadmap, priorities, milestones, and monitoring indicators.</li><li>Prepare management materials, reports, dashboards, and follow-up committees.</li></ul><p>2. Data Privacy Playbook / Crisis Management</p><br><br><ul><li>Design and formalize a Data Privacy Playbook applicable to OMEA subsidiaries in case of a cyber incident affecting personal data.</li><li>Define roles, responsibilities, escalation procedures, and RACI matrices between DPO, cybersecurity, legal, communication, customer service, and management.</li><li>Develop operational models (breach register; notification decision tree; notification templates for authorities / affected individuals / clients / partners; FAQ and crisis communication talking points).</li></ul><p>3. Data Breach Response Plan</p><br><br><ul><li>Build a personal data breach response plan integrated into cyber crisis management.</li><li>Define workflows for qualification, risk assessment, documentation, evidence preservation, notification, and lessons learned.</li><li>Prepare and conduct crisis exercises/simulations, including a data exfiltration or disclosure scenario.</li></ul><p>4. Privacy by Design / Data Governance</p><br><br><ul><li>Contribute to integrating privacy by design and by default requirements into subsidiaries' projects, applications, repositories, and document sharing.</li><li>Formalize minimum requirements for data minimization, access control, need-to-know principle, retention, and document classification.</li><li>Provide tools or strengthen Privacy Risk Assessment reviews for priority cases.</li></ul><p>5. Data Loss Prevention / Exposure Mapping</p><br><br><ul><li>Contribute to the functional definition of the Data Loss Prevention workstream regarding data protection.</li><li>Participate in defining detection and prevention rules for personal data leaks or sensitive document exposure.</li></ul><p>6. Operational Support to Subsidiaries</p><br><br><ul><li>Provide expert support to OMEA entities in qualifying their local data protection challenges.</li><li>Assist priority subsidiaries in implementing the program's deliverables.</li><li>Help with gap analysis, defining remediation plans, and maturity improvement.</li></ul><p>7. Incident Management / Crisis Management</p><br><br><ul><li>Support the DPO Office OMEA in handling significant personal data incidents or breaches in the region.</li><li>Participate, if necessary, in crisis management teams for data protection, notification, communication, and relations with authorities/clients.</li><li>Ensure consistency between local regulatory requirements, Group policies, and operational imperatives.</li></ul><p>8. Awareness, Documentation, and Change Management</p><br><br><ul><li>Design or enhance awareness and training kits on personal data breaches; DPO/cyber reflexes during crises; personal data qualification; notification obligations.</li><li>Contribute to spreading best practices across the entire OMEA region.</li><li>Participate in capitalizing on lessons learned (RETEX) and continuous improvement of the system.<br>&nbsp;</li></ul> <br><br> </div>