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Iliès EssafiIE

Iliès Essafi

Product Owner Data & AI

€550/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Iliès

Product Owner specialized in data and AI, I help your organization transition from a developing business need to a concrete, used, and useful solution.

I work on generative AI and agentic AI projects from the scoping phase (needs analysis, business workshops, prioritization), then I manage the operational execution of the project: leading workshops, structuring the backlog, writing user stories, arbitrating priorities, monitoring deliveries, and coordinating with technical teams (developers, data engineers, data scientists). I pay attention to technical, data, and architectural constraints, without ever losing sight of business value.

My goal is to transform concrete business challenges into useful, adopted, and industrializable AI solutions, bridging the gap between business, data, IT, and product teams. I have notably worked on topics such as document valorization, process automation, internal copilots, and improving information access through LLMs and AI agents.

I particularly appreciate projects where the objective is to clarify, structure, and move teams forward towards a common goal, with visible results for users and decision-makers.

Feel free to contact me to discuss your needs, I would be delighted to chat with you!
  • French

    Native or bilingual

  • English

    Fluent

  • Spanish

    Fluent

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

Experience

  • CORUM L'Epargne
    Generative AI Product Owner
    BANKING AND INSURANCE
    September 2025 - May 2026 (8 months)
    Paris, France
    Scoping & structuring of the documentary heritage
    • Mapping of the group's commercial, contractual, and regulatory documents to identify critical content, reference versions, and key update challenges.
    • Gathering requirements from Operations, Marketing, Legal, Compliance, Sales, and Tech teams to structure documentary production, validation, and dissemination workflows.
    • Formalizing management rules, validation circuits, and associated responsibilities to ensure the reliability of the document lifecycle until go-live.
    Generative AI & agent development
    • Scoping of generative AI use cases aimed at accelerating documentary updates, controlling legal notices, detecting inconsistencies between versions, and querying a large documentary database.
    • Contribution to the deployment of personalized document generators based on models, business variables, prompt libraries, and template engines.
    • Functional definition of AI agents capable of assisting teams in analyzing, comparing, updating, and controlling the compliance of documentary content.
    • Structuring interactions between AI agents, business users, and validation workflows to ensure the traceability, quality, and compliance of produced deliverables.
    Governance, quality & multi-channel dissemination
    • Implementing a documentary "source of truth" logic to ensure the use of validated versions across all dissemination channels.
    • Supervising versioning, archiving, and deletion of obsolete versions to reduce the risks of errors, non-compliance, and dissemination of outdated content.
  • Wavestone
    AI Product Owner – AI Products & Data Tools
    May 2024 - September 2025 (1 year and 4 months)
    Leudelange, Luxembourg
    Product vision & value proposition

    • Identifying priority Microsoft Copilot use cases for each business team (Finance, Marketing, Management, IT).
    • Formalizing a clear value proposition for different user profiles (time saving, task automation, decision support, information reliability).
    • Clarifying product objectives in line with the Business Unit's strategic challenges.
    • Building a product roadmap structured by value increments: MVP, functional enhancements, industrialization phases.

    Backlog & prioritization

    • Transforming business needs into detailed user stories actionable by technical teams.
    • Prioritizing the backlog based on business value, user impact, technical complexity, and operational risks.

    User experience & adoption

    • Organizing workshops and user testing sessions to validate the relevance of proposed features.
    • Structured collection of feedback after each iteration to improve ergonomics and usage.
    • Establishing usage rules and best practices to guide Copilot usage and contributing to the adoption of the tool by business teams.

    Operational management & monitoring

    • Monitoring development progress and incidents via Jira.
    • Updating product and functional documentation.
    Microsoft Copilot Agile Methodology Scrum IT Architecture
  • Capgemini
    Data Consultant
    June 2023 - May 2024 (11 months)
    Lille, France
    Product scoping & data valorization

    • Participation in data scoping missions: maturity assessments, analysis of existing data usage, and identification of value creation opportunities.
    • Definition of data roadmaps and prioritization of use cases, in line with business objectives and technical constraints.

    Dataiku platform management & data governance

    • Support for the deployment and adoption of the Dataiku solution, from functional scoping to production.
    • Leading business workshops to gather requirements related to Dataiku usage and translating them into functional specifications.
    • Definition of KPIs, implementation of control processes, and monitoring of data quality in Dataiku (tests, anomaly detection, continuous improvement).

    Delivery & project coordination

    • Operational management of data projects: activity monitoring, stakeholder coordination (business, Data Engineers, Data Scientists), adherence to deadlines and quality objectives.
    • Supervision of the implementation and testing of Dataiku workflows, ensuring consistency of user journeys before production, and supporting incident resolution and change management through steering tools (Jira).

    Pre-sales support & tenders

    • Contribution to tender responses in collaboration with Business Development, Architects, and Bid Managers.
    • Writing commercial and technical proposals on data governance and data management topics.
    • Support in structuring service offerings and highlighting Capgemini's data expertise to clients.
    Data Governance Dataiku Project Management Definition and Monitoring of Indicators (KPI)

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Education

  • Master in Data Science and
    École Centrale de Lille
    2022
    Master en Data Science et
  • Bachelor's Degree in Mathematics
    Université Paris Saclay
    2019
    Licence de Mathématiques

Skill set

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