Freelancer profile translated to English.

Description

Centralien Engineer and in possession of several certifications in Agile and SAFE methods, I support organizations in managing their AI products.

My daily actions:

- **Product Strategy**: Define the vision, roadmap, and objectives of the product in alignment with the company's strategy.

- **Lifecycle Management**: Oversee the product from design to launch and continuous improvement.

- **Research and Analysis**: Identify user needs, market opportunities, and trends through monitoring and data analysis.

- **Interdisciplinary Collaboration**: Work with technical, design, marketing, and sales teams to ensure product success.

- **Prioritization**: Manage and prioritize the product backlog based on business impact, user needs, and technical constraints.

- **Development and Testing**: Write user stories, track developments, and validate deliveries through quality assurance (QA) tests.

- **Performance Monitoring**: Define and analyze KPIs to measure product success and propose improvements.

- **Communication and Stakeholder Management**: Facilitate communication between teams, prioritize requests, and arbitrate needs.

- **Continuous Improvement**: Collect user feedback and adjust the product to meet market expectations and changes.

Feel free to contact me to discuss your needs, I would be delighted to collaborate together!

Languages

English
Fluent
French
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

SAUR
AI Product Manager
February 2024 - Today (2 years and 6 months)
Paris, France
Mission within the AI department:
- **Optimization of operational processes**: Development of Digital Twins using Reinforcement Learning to improve the performance and reduce the costs of wastewater treatment plants.
- **Generative AI**: Development of AI-based document management solutions to optimize employee work through question/answer systems.
- **Product innovation**: Creation of new AI products and conducting studies to meet the needs of internal clients.

Main responsibilities:
- **Product Strategy**: Definition and management of the vision for strategic AI solutions: digital twins, RAG/LLM products (augmented generation for business automation) and ML predictive models (anticipation of critical variables to optimize industrial processes).
- **Roadmap and Prioritization**: Development of roadmaps aligned with strategic priorities. Prioritization of initiatives based on their business impact and technical feasibility. Arbitration between business needs and technical constraints.
- **Interdisciplinary Collaboration**: Coordination of multidisciplinary teams (Data Scientists, Data Engineers, DevSecOps). Alignment with business stakeholders to ensure user needs are met.
- **Analysis and Positioning**: AI monitoring of key technologies (Reinforcement Learning, LLM). Analysis of user needs and product positioning to ensure their differentiation. Construction of business cases to justify investments.
- **Management and Monitoring**: Supervision of AI developments, validation of algorithms and implementation of KPIs (cost reduction, reliability of forecasts, user satisfaction).
- **Adoption and Continuous Improvement**: Deployment of change management strategies, adapted training and iterations based on user feedback.
DISNEYLAND PARIS
Data & AI Product Manager
June 2022 - January 2024 (1 year and 7 months)
Paris, France
Mission within the Data & AI department:
Responsible for managing products that track sales performance (tickets, hotel rooms, etc.) as well as developing recommendation and pricing optimization algorithms to maximize commercial effectiveness

Main responsibilities:
- **Product Strategy and Data Governance**: Define and champion the vision of Data products in alignment with the company's overall strategy. Collaborate closely with business and technical stakeholders to ensure that products meet strategic objectives. Manage the roadmaps of analytical and AI products, while contributing to the development of standards and processes ensuring data quality and regulatory compliance.
- **Development and Coordination of Data & AI Products**: Oversee the creation of analytical solutions, including dashboards to track sales KPIs in real time. Develop personalized recommendation algorithms to improve customer experience and optimize revenue through dynamic pricing solutions based on demand.
- **Backlog Management and Prioritization**: Write user stories tailored to business and strategic needs, prioritize features to maximize business impact, and coordinate with technical teams to ensure the feasibility of delivered solutions.
- **Interdisciplinary Collaboration**: Facilitate cooperation between Data Science, Engineering, and business teams (sales, marketing, revenue management). Organize workshops to identify needs, validate features, and ensure their adoption.
- **Change Management Support**: Raise awareness and train end-users on the use of analytical and AI products. Collect user feedback to continuously improve solutions and ensure their adoption.
Transdev
Data Product Owner
March 2021 - June 2022 (1 year and 3 months)
Paris, France
Mission within the Data department:
Responsible for managing products that track Transdev's business performance, monitor workplace accidents, optimize bus routes, and implement predictive maintenance

Main responsibilities:

- Define the needs of business teams and develop the product roadmap, ensuring the monitoring of its implementation
- Create user stories and manage the backlog by prioritizing features based on their value and complexity
- Oversee the entire product delivery process, from design to delivery and then its continuous improvement
- Collaborate with application managers to define data exchange standards between the different applications and the Transdev Data Platform
- Lead, in collaboration with the Data Architect, the design workshops for the Data Architecture of the Datalake, Datawarehouse and Datamarts of the Transdev Data Hub
- Coordinate the work of technical teams (Data Engineer, Data Scientist and BI Developer)
- Lead the various Agile rituals (sprint planning, poker planning, sprint demonstration, sprint review and daily meeting)