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Djaffar C.DC

Djaffar C.

Supermalter

Senior Data Product Owner, SM & Systems Scientist

€750/day
7 projects
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Djaffar

Product Owner, Scrum Master and Systems Scientist, I have 9 years of experience in information systems management, data, project management and Business Intelligence, within large groups such as Dassault Systèmes, Veolia, TotalEnergies or Air Liquide.
Trained in both information systems (Big Data & System Dynamics) and market research/marketing, I develop a multidisciplinary approach to projects, at the intersection of data, product, and business challenges, with a strong ability to structure complex functional issues.
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 50km)

Experience

  • Thales
    Data Platform Product Owner
    DEFENSE AND MILITARY
    September 2025 - March 2026 (6 months)
    Vélizy-Villacoublay, France
    Within the Data Foundation, I held the position of Product Owner Data Platform, responsible for the product management of a cloud-native unmanaged data platform.
    - Definition and management of the Data Platform's product vision, in line with usage.
    - Construction, prioritization, and facilitation of the product backlog (features, evolutions, etc.).
    - Writing User Stories and acceptance criteria for data and platform topics.
    - Scoping and management of structuring projects: data ingestion, analytical exposure, access security, observability, quality of service.
    - Gathering and qualifying needs from Data, BI, business, and application teams.
    - Facilitating scoping workshops (needs expression, user journeys, service blueprints).
    - Coordination of DevOps, Data Engineering, and Analytics teams in Kubernetes environments.
    - Balancing user value, technical constraints, platform stability, and long-term operation.
    - Organization and facilitation of agile rituals (refinement, sprint planning, demos, retrospectives).
    - Facilitating sprint demos, communicating on production releases, and monitoring functional incidents.
    - Contribution to the definition of data governance rules (scopes, access, data sharing).
    - Writing and maintaining functional and product documentation for the platform.
    User Journeys Agile Method Data Catalog Kubernetes Incident Management
  • Air Liquide GDO
    Product Owner Data & Orchestration
    ENERGY AND UTILITIES
    December 2024 - June 2025 (6 months)
    Paris, France
    Within GDO (Global Data Operations), I held the position of Product Owner for the Cloud Ops & Foundation squad. I managed two products: 1) the company's Data Orchestration offering, and 2) a product dedicated to exposing industrial data from SCADA systems via API for analytics and operations use cases.
    - Facilitating planning and scoping workshops with technical teams.
    - Managing the product roadmap and backlog according to business and technical priorities.
    - Writing clear and actionable user stories and functional specifications.
    - Monitoring development, coordinating sprints, and facilitating agile rituals.
    - Regular communication with the manager and organizing the squad's work.
    - Interface with stakeholders and contribution to product adoption and valorization.
    AWS Scrum Airflow Architecture Product Ownership
  • Romy
    Multi-platform (web & mobile) and AI Product Owner
    SOFTWARE PUBLISHING
    June 2023 - February 2026 (2 years and 8 months)
    Paris, France
    Romy*is a startup (RegTech) that develops Governance, Risk Management, and Compliance (GRC) software. The platform offers several complementary modules such as risk mapping and assessment, operational activity management, third-party assessment, AI modules, and a mobile application.

    *romy.eu

    My responsibilities:
    - Definition of the product roadmap and management of version upgrades.
    - Translation of business needs into clear and detailed user stories.
    - Writing functional specifications for all platform modules (10 modules) on web and mobile.
    - Writing functional specifications, designing the data model, and participating in the development of the artificial intelligence module (Media Screening).
    - Definition of the functional architecture with particular attention to the platform's data models for Data Quality by Design developments (e.g., data unification at the source).
    - Definition of business KPIs and construction of global dashboards and dashboards for each module.
    - Facilitation of all agile ceremonies and monitoring of sprint reports.
    - UI/UX workshops with business stakeholders and web/mobile designers.
    - Supervision, training, and mentoring of an intern.
    - Organization and participation in functional acceptance testing.
    - Writing functional documentation and user manuals.
    Figma Mobile Application Project Management Agile Method Atlassian JIRA

Reviews

5.0

Out of 3 ratings

A

Anne

TotalEnergies GRP

Reviewed on 10/14/2021

great job!!! we're starting to get used to it ;) thank you Djaffar
A

Anne

TotalEnergies GRP

Reviewed on 9/15/2021

Thank you Djaffar for listening to our needs and for translating them so well into the tool we built. See you soon for the next adventure!

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Education

  • PhD in Management Information Systems
    Université Paris 1 Panthéon Sorbonne
    Ma thèse porte sur l’intégration de la dynamique des systèmes complexes dans l’analyse et le pilotage des modèles d'affaires des entreprises numériques évoluant dans des environnements incertains. Elle propose un cadre méthodologique hybride combinant pensée systémique, modélisation structurelle (stocks, flux, boucles de rétroaction) et exploitation de données réelles via des processus de calibration, simulation et validation in silico. Les modèles sont formulés sous forme d’équations différentielles dynamiques, simulés pour explorer différents scénarios stratégiques (ex. : épuisement du runway, churn, croissance désynchronisée). Cette approche vise à améliorer la qualité des décisions en complétant les méthodes classiques de data science (statistique, ML) par une lecture structurelle et causale des phénomènes étudiés. Au croisement de l’informatique décisionnelle, de la science des données et de la modélisation de systèmes complexes, cette recherche vise à doter les organisations de simulateurs intelligents leur permettant d’anticiper les effets différés, tester virtuellement des hypothèses et structurer un apprentissage décisionnel plus robuste.
  • Master in Information Systems - Specialization: Big Data
    Université Paris 1 Panthéon Sorbonne
    2018
    La formation conduit les étudiants vers une double compétence en systèmes d’information et de connaissance et en management de l’ingénierie de ces systèmes, notamment par l’acquisition des savoirs et des savoir-faire pour appliquer : - Les principes de l’ingénierie aux pratiques d’entreprise, - Les principes du management aux méthodes et aux pratiques d’ingénierie des SIC. Le sous-parcours ‘Big Data’ permet d’acquérir des compétences sur l’usage, la gouvernance, l’alignement stratégique des SIC, liées à l’informatique et à toutes les technologies du numérique qui impactent les métiers, pour comprendre les enjeux de «Big Data»: qualité des données, sécurité, responsabilité, éthique; complémentarité des données massives avec l’architecture d’entreprise, la culture d’entreprise, les processus métier; interopérabilité/intégration avec les systèmes logiciels de l’entreprise.

Skill set

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