Freelancer profile translated to English.
Back to original languageAbout Amine
Product Owner Data & AI with 7+ years of experience, I have supported several organizations in the operational implementation of their Big Data strategy, from vision definition to industrialization.
+8 strategic Data/AI products deployed in production
+€1M generated revenue
-20% operational inefficiencies
+25% data quality improvement
+40 data sources ingested into the datalake.
English
Fluent
French
Fluent
Arabic
Native or bilingual
Spanish
Basic
Can work on-site
Paris (up to 50km)
Experience
- AXA FRANCEProduct Owner Data & AIBANKING AND INSURANCEJune 2025 - Today (1 year and 2 months)Paris, FranceContext: Reporting to the Data Management Office (DMO), I managed Data & AI Products in a transverse Data Mesh environment, with a focus on data governance and quality, process industrialization, and the integration of automated controls within the Data Platform.Missions:Scope and Planning:
- Modeling of Data Lake technical and functional architectures (sources, ingestion, exposition)
- Definition of data governance and quality standards (rules, reconciliation, traceability, dictionary, compliance)
Design and Presentation:- Operational translation of the product vision into User Stories and product increments with DoR/DoD criteria
- Transverse collaboration with all project stakeholders (Stewards, Data Scientists, Data Engineers, Architects)
Development and Testing:- Facilitation of Agile Scrum rituals (Daily, Sprint Planning, Review, Retrospective)
- Presentation of progress and reporting (quality, product status, business/project committee)
Support and Monitoring:- Documentation and support for business teams on the deployed solution (DEX, architecture diagram)
- Implementation of Power BI KPIs and Dashboards to monitor data quality (freshness, lineage, distribution)
Results Obtained:- Strengthened data pipeline management through automated controls and better end-to-end visibility
- Prioritization of the Data Products backlog in an Agile (Scrum) environment ensuring reduced time-to-delivery
- Deployment of a group-wide Data Quality DQD & governance framework
- Implementation of Power BI dashboards for data quality monitoring (freshness, lineage, distribution, volume)
Technical Environment: Azure Cloud, Azure Data Factory, DataLake, Databricks, SQL, Python, PySpark, Power BI, Azure DevOps, Jira, Confluence, CI/CD, Data Mesh, Product & Design Thinking, Scrum, Collibra, Data Governance, Data Lineage, Observability, DrawIO, Kanban, API, DWH, Data Quality - Europ AssistanceGlobal Data Project ManagerBANKING AND INSURANCEJanuary 2025 - June 2025 (5 months)Paris, FranceContext: Reporting to the COO, end-to-end management of the data product lifecycle for the holding company and its 9 international subsidiaries. Objective: centralize and leverage data from over 78 web apps to optimize NPS, customer journeys, and strategic decision-making.Key Responsibilities:Product Scoping & Governance
- Definition of the Data vision and multi-entity roadmap in coordination with the holding company, subsidiaries, and business partners
- Identification and prioritization of high business value KPIs and use cases, arbitration based on ROI, technical feasibility, and GDPR compliance
- Macro planning, workload/budget estimation, and participation in steering committees
Data Architecture & Design- Design of collection, ingestion, and transformation pipelines ensuring quality, traceability, and compliance
- Facilitation of international workshops (Design Thinking) for requirement formalization, user stories, and Data Visualization use cases
- Structuring of analytical models and decision-oriented reporting
Delivery & Industrialization- Management of the analytics migration to Piwik Pro (tracking, custom KPIs, reporting automation)
- Deployment of real-time dashboards for customer journey monitoring and operational management
- Validation through acceptance testing, Agile iterations, and business feedback
Adoption & Performance- User training and change management for data autonomy
- Performance analysis of over 80 web apps: funnel optimization, customer experience improvement
- Product portfolio monitoring (product status, KPIs, executive reporting)
Technical Environment:SQL, Python, Piwik Pro, Google Analytics, Tag Manager, BigQuery, DataFlow, DBT, Power BI, Looker, GCP, Excel, Data Governance, Data Quality, GDPR, Agile/Scrum, Backlog management. - AXA FRANCEProduct Owner Data & AIBANKING AND INSURANCEJanuary 2022 - December 2024 (2 years and 11 months)Paris, FranceContext: Within the IT department – Data, Digital & Services Tribe, operational management of the Big Data and Self-BI roadmap.Objective: design and industrialize Data/AI products on Azure to accelerate business value and decision-making.Missions:Strategic Scoping & Product Vision
- Execution of scoping studies and prioritization of use cases based on impact, ROI, and feasibility
- Modeling of target architectures (sources, ingestion, Data Lake, exposition) in a scalable and Data Mesh logic
- Definition and communication of the product vision to Data Scientists, Architects, Data Engineers, Business Sponsors, and Data Leaders
Transverse Management & Governance- Collection and prioritization of needs for the migration of Data Marts, Business Views, and Data/AI products (e.g., Inforce Santé, SmartIn)
- Project phase management: kick-off, build, industrialization, deployment
- Executive reporting (quality, product status, quarterly roadmap, business/steering committees, project committees)
Delivery & Industrialization- Migration and integration of over 15 sources into the Azure Data Lake
- Industrialization of Data/AI features (health fraud, DSN) on Databricks (PySpark, SQL)
- Definition and monitoring of Data KPIs (freshness, lineage, completeness, distribution) via Power BI
- Writing functional/technical specifications and backlog prioritization (User Stories)
- Facilitation of Agile rituals (Scrum/Kanban) and UAT validation, functional and non-regression testing
Compliance & Support- Delivery assurance, flux supervision, and evolutionary maintenance
- Technical and functional documentation (DEX, architecture diagrams)
- GDPR compliance (automated purging, governance via Collibra)
Technical Environment:Azure (Data Lake, Data Factory, Databricks, Lakehouse, Python, PySpark, SQL, Power BI, Denodo, Azure DevOps, Jira, Confluence, Collibra, Machine Learning, OCR, LLM, ServiceNow, Hopex.
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Education
- State Engineer in Computer Science, Information Systems and Data ScienceNational School of Applied Sciences ENSA2019
- Master 2 in Management and Business Administration, dual specialization trackInstitute of Business Administration IAE2021
Certifications
- Professional Scrum Master (PSM)Scrum2024
- Professional Scrum Product OwnerScrum2022