Freelancer profile translated to English.

Description

10 years of experience in critical and demanding data environments, where business complexity, operational constraints, and risks require rigorous, value-oriented management.

Scrum Master & PSPO 1

I quickly grasp business challenges to understand what is truly expected and the value behind each need. This closeness allows me to build trust and manage useful and actionable data products.

With one foot in the business and one foot in technology, I bridge the gap between business expectations and their implementation, ensuring delivery aligned with company objectives.

I have expertise across the entire data product lifecycle: framing business needs, defining vision and roadmap, structuring and prioritizing data backlogs, managing agile delivery (Scrum, SAFe), through to production deployment and usage adoption.

I manage end-to-end data flows (ingestion, transformation, exposure) and design usage-oriented solutions (BI, datamarts, analytical datasets), leveraging modern stacks, particularly GCP (BigQuery, Cloud Run, Dataform) and data visualization tools like Power BI and Looker.

Hands-on experience in international and multi-site data environments, coordinating distributed teams and stakeholders, and communicating in English.

My hybrid Product/Data/Delivery positioning allows me to act as a Data Manager, Lead PO Data, or Data Platform Manager.

My strengths:

• Multi-domain data platforms in international environments

• Data Product Ownership (vision, roadmap, backlog, ROI-oriented KPIs)

• Modern data stacks GCP + Power BI

• Data flow management (pipelines, datamarts, analytics, ELT, API)

• Multi-team and multi-site coordination

• Data Governance (data quality, MDM, GDPR)

• Scaled agile delivery

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent
Spanish
Conversational

Workplace preferences

Remote only

Primarily works remotely

LE BON MARCHE / SAMARITAINE (Groupe LVMH)
Senior Consultant - Data Platform Product Owner
LUXURY GOODS
April 2025 - April 2026 (1 year)
Paris, France
• Responsible for the construction, evolution, and adoption of a cross-functional data platform serving multiple business domains (supply chain, CRM, marketing).
• Product management of the data platform: vision, roadmap, and prioritization in a multi-client and multi-source environment.
• Management of the data platform's evolution: progressive integration of new data sources, opening of new analytical and operational use cases.
• Definition and management of data consumption uses: BI (Power BI, Looker), exports, datamarts, analytical datasets focused on decision-making and performance.
• Measurement of the data platform's value and ROI by business domain: tracking usage, business gains, and adoption.
• Scoping of business data needs: understanding use cases, formalizing business rules, designing datamarts for consumption.
• Management of the platform backlog: data user stories, acceptance criteria, capacity arbitration, and prioritization of value/debt/run.
• Agile facilitation of data squads: planning, daily stand-ups, reviews/demos, retrospectives, tracking team and delivery KPIs.
• Structuring of data governance: living documentation, modeling conventions, data quality, and completeness.
• Cross-functional interface between business, data engineers, and IT: clarifying responsibilities, aligning business/technical aspects.
• Communication and change management: internal newsletters, data simplification, platform adoption support.
• Product and data tooling: Jira & Confluence configuration (workflows, dashboards, templates), tracking dependencies and flows (job monitoring).

Technical environment: GCP (BigQuery, Cloud Storage, Cloud Run, Cloud Workflow), Jira, Confluence, Power BI, Looker, Control M, Fivetran, SAP, GOLD, Adobe Campaign, SF, SFCC, SQL, SQLSS.

Business environment: Retail & Luxury, Finance, Supply Chain, CRM, Marketing
Value Creation Project Coordination Agile Methodology (SAFe) Data Modeling IT Architecture
MOËT HENNESSY (Groupe LVMH)
Senior Consultant - Data Platform Product Owner
LUXURY GOODS
April 2024 - April 2025 (1 year)
Within the Data Factory, supporting five teams on the Scrum framework and delivery.

• Facilitation of the agile framework: sprint planning, daily meetings, reviews/demos, and retrospectives, ensuring the regularity of rituals and quality of exchanges.
• Support for business Product Owners in backlog structuring and prioritization, clarification of season objectives, and PI Planning preparation.
• Organization and active participation in PI Plannings: team coordination, dependency identification, commitment security, and alignment with business priorities.
• Risk and dependency tracking, reporting to instances, facilitation, and obstacle removal.
• Implementation and monitoring of cadence, velocity, and quality KPIs.
• Contribution to the continuous improvement of agile practices and data delivery within the Data Factory.
• Ensuring the quality, structure, and updating of project and product documentation on Confluence.
• Coordination and interface between integration, data visualization, and data engineering teams.

Technical environment: ServiceNow, Jira, Confluence, Qlik, Power BI, Collibra, Teams
Business environment: Finance, Vineyards, Retail, Storage
L'OREAL - Zone EMEA
Data Product Lead / Agile Delivery Manager
FASHION AND COSMETICS
January 2022 - March 2024 (2 years and 2 months)
Within L'Oréal's IT Data Europe team, I held the position of Product Lead to facilitate the deployment of data products across all European countries.
The Product Lead role is to ensure the integrity of data used for business needs throughout the transformation process, from sourcing to the end customer. It encompasses the dimensions of Data Product Owner, Scrum Master between different IT teams, and project management to ensure team coordination and timely delivery.
Responsibilities
• Evaluation of business needs and data scope: analysis of existing data coverage, identification of new source integration needs, estimation of workload (data engineering resources, timelines, costs), and consideration of data sensitivity and security constraints.
• Estimate necessary resources and teams to involve in the project.
• Management of the product delivery roadmap: lot sequencing, milestone definition, sprint planning, and progress tracking.
• Translation of business needs into clear and well-defined data user stories, aligned with team standards (DoD/INVEST) and adapted to data engineers' technical constraints.
• Track development, facilitate Scrum ceremonies.
• Resolve all blocking issues to development progress to ensure the roadmap's sustainability.
• Monitor acceptance testing by supporting Key Users in feature adoption.
• Prepare documentation for the solution's transition to operations.

Technical environment: GCP Console and BigQuery, ServiceNow, Confluence, Collibra, Azure, Power BI
Business environment: Sell In Sell Out Commerce, Stock in Trade Marketing SEO and E-commerce Media Share of Voice