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Aymen S.AS

Aymen S.

Lead product - data -AI ML

€850/day
4 projects
Paris, FR
8-15 years

Average response time: 1 hour

About Aymen

Interpersonal skills: Customer-facing projects, team and stakeholder management. Proven track record in high-visibility project management and C-level reporting. Extensive experience in stakeholder management across many verticals. Fluent in English, French, and Arabic. Successfully delivered Fortune 500 client projects in the United States and Canada.

Data-driven products: hands on experience in supply chain management, insurance, finance, and healthcare products.Strong knowledge of descriptive, prescriptive, and predictive analytics, as well as operations, customer, marketing analytics, and supply chain analytics.

Project management: Experienced in Scrum, Agile environments since 2015. Led complex B2B customer-facing projects from discovery to delivery. Demonstrated strong planning and organizational skills translating vision into actionable operational steps.

Compliance and governance: privacy and ethics by design, FIPs, PII, GDPR, HIPAA, EU AI act, OFAC, federated learning.

Product management: customer Research, user journey mapping, design thinking, ELMR framework, gamification, A/B testing, Miro, Invision, Figma, Balsamiq, Nolt, TypeForm.

Data ecosystem: solid knowledge of Data Governance, Data Quality, Data Cataloguing, Metadata management, Reference and Master Data Management, Big Data, ETL, SQL, JSON, XML, SOAP, Python, Jupyter, Pandas, NumPy, Tableau software, Power BI, Spark DataBricks, Hadoop, Data Lakes, BigQuery, redshift, ELK stack, Grafana, noSQL, graphDB.

AI/ML: solid knowledge of AI ML technologies, such as decision trees and random forest, CNN, GANs, reinforcement learning, transfer learning, knowledge graphs and graph databases, data fusion, NLP, machine vision, generative AI, multimodal search, MLOps such as hugging face and Paperspace, Google Colab, Nvidia ecosystem.

Emerging technologies: Strong knowledge of emerging technologies such as autonomous systems and self-driving cars, Nvidia ecosystem, IOT, Blockchain, Metaverse, and Web3.
  • French

    Native or bilingual

  • English

    Native or bilingual

  • Arabic

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • Servier International
    Senior Product Manager/Owner data platform
    PHARMACEUTICALS INDUSTRY
    January 2024 - Today (2 years and 5 months)
    Paris, France
    Acted as a product and a project manager for the development and deployment of data and AI products within the Data Factory and for other business stakeholders:
    Managed the development and the rollout of AI-driven products, including NLP based data ingestion products rolled out to 24 locations worldwide, which helped ingest over 75 million records and 8000 semi-structured files.
    Coordinated cross-functional teams including data scientists, engineers, across the data factory to deliver innovative solutions that leveraged machine learning models and complex data ingestion for AI and for analytics use.
    Acted as product manager for the development and implementation of an LLM orchestration backend platform exposed via an API, and managed Neo4j data ingestion projects.
    Defined objectives, developed product roadmaps, aligning AI capabilities with customer needs and market opportunities, leading to the successful release of frequent product updates.
    Collaborated closely with various stakeholders across and beyond the data factory, including C-level executives and internal clients, to translate complex technical concepts into clear business value propositions, securing budget and buy-in for key initiatives.
    Defined and monitored project performance using OKRs and KPIs.
    Continuously reached out to internal clients to identify and develop features to enhance user experience and drive adoption.
    Developed processes, and defined roles and responsibilities, and secured necessary approvals and adoption.
    Developed training materials and technical documentation destined for platform users.
    Monitored projects FinOps and provided weekly status updates to management.
    Data science Analyse de données Data visualisation Développement produit Lancement de produit
  • Europcar International SASU
    Transformation Project Manager
    AUTOMOBILE
    July 2022 - April 2023 (9 months)
    Clichy, France
    • Orchestrated a high-visibility DevOps and DataOps transformation project in a post-acquisition setting by Volkswagen Group, impacting approximately 1000 technical employees, aligning DevOps and DataOps standardization and governance with strategic business goals.
    • Developed and oversaw the implementation of a detailed agile transformation roadmap, focusing on enhancing efficiency in value delivery and operational scalability.
    • Produced real-time CICD inventory including data pipelines and acted as a key advisor to senior management, regularly providing insights and guidance on strategic areas of improvement.
    • Led the documentation, reporting and animated the steerco meetings.
    Technologies: GCP, Big Query, Tableau, AWS, Gitlab CICD, Jenkins CI, Jfrog, ServiceNow, JIRA, Confluence, APIs, Elasticsearch, Kibana, Grafana, Miro.
    Transformation des organisations Scrum Méthode agile AWS Data science DataOps agile Database administration Analyse de données Big Query Tableau software GCP
  • Limonade Technologies
    Product manager
    BANKING AND INSURANCE
    January 2021 - March 2022 (1 year and 2 months)
    Montréal, Canada
    Pioneered the development of an innovative fintech application targeting emerging markets, integrating advanced data management and visualization technologies. Successfully exited at the prototype stage.
    • Led the design and implementation of a graph-based data lake utilizing Spark Streaming, enabling sophisticated real-time data processing and analytics.
    • Developed an intuitive visualization layer to effectively present complex financial data, enhancing user experience and decision-making capabilities.
    • Managed the entire product lifecycle from concept to prototype, aligning with market needs and ensuring technological feasibility.
    • Assembled and guided a cross-functional team of six, encompassing product development and UI/UX design, to deliver a cohesive and functional prototype.
    • Focused on compliance with privacy and financial regulations, effectively navigating complex legal frameworks.


    Technologies: Java/Springboot, SOA, APIs, PostgreSQL, Cassandra, Apache Spark, TigerGraph, Postman, Docker, K8S, Prometheus, Gitlab CICD, Nexus, Flutter, React JS, Codemagic, JIRA, AWS, S3, Keycloak, reverse proxy, JIRA, Confluence, Bitrix24 CRM, Figma.
    Application Mobile Transformation digitale Product management product owner User Experience Design

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Education

  • Master of Engineering
    University of Ottawa, Canada
    2012
  • Supply Chain Analytics
    Rutgers University
    This Specialization is concentrated on the intersection of supply chain management with data analytics. Supply Chain Analytics Essentials: Supply chain pain points and how analytics may relieve them, job opportunities and intelligence. Business intelligence and Competitive Analysis: Use data analytics to assess the competitive environment and discover business problems and opportunities. Demand Analytics: Data analytics for demand forecasting and planning. Inventory Analytics: Discover and solve inventory problems - an essential part of Sales & Operations Planning. Sourcing Analytics: Use market intelligence, bargain power analysis, and supplier analysis to identify and select new suppliers. Supply Chain Analytics: Use analytics to design logistics strategies for a large-scale distribution system.

Certifications

  • Google Advanced Data Analytics Certificate
    Google
    2024
    Analyse de données Data science Big Data Data mining
  • DataOps Methodology
    IBM
    2023
    Business Strategy DataOps

Skill set

Categories