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Fifty-FivePosted 2 months ago

Data & Cloud Technical Project Manager (H/F)

On-siteParis, Île-de-France, France

Full TimeSenior LevelMasters DegreeMedium

Job Summary

Data & Cloud Technical Project Manager responsible for delivering technical projects for clients, including building data platforms, deploying use cases involving Generative AI, and defining data governance at scale. Role combines hands-on architecture and implementation activities with project leadership: estimating technical sizing, guiding architecture reviews, coordinating internal and external resources, monitoring progress and quality, and ensuring timely delivery. The position also entails pre-sales activities (discovery, architecture presentation), and strategic contributions (R&D initiatives and templating projects). Strong emphasis on data platform technologies, cloud environments (GCP/Azure/AWS), data warehouses, APIs, and DevOps practices, with required collaboration across consultants, data analysts, and data scientists. Proficiency in French and English is required, with experience working in project-mode delivery and a willingness to contribute to a multicultural, multinational environment.

Required Qualifications

  • 6-8 years of experience in technical consulting
  • first experience managing a team
  • excellent oral and written communication skills
  • ability to analyze needs and propose solutions
  • technical project management experience including planning, internal coordination, client relationship management, timelines and risk management, and quality control
  • mastery of data architectures
  • proficiency with Cloud environments; certification on GCP, Azure or AWS
  • mastery of at least one data warehouse (e.g., BigQuery, Snowflake)
  • understanding of APIs (OAuth, REST)
  • strong knowledge of Python and SQL
  • strong knowledge of Docker
  • familiarity with Infrastructure as Code (Terraform)
  • familiarity with GitOps concepts and CI/CD practices
  • team collaboration and code review
  • fluency in French and English
  • prior project-based work with varied stakeholders (consultants, data analysts, data scientists)

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