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# Service Delivery Leader Data Platform H/F

- **Company:** Ceva Santé Animale
- **Location:** Libourne, France
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Microsoft Azure, Information Systems, Continuous Integration, Information Engineering, Data Infrastructure, Snowflake, Information Technology, Data Management
- **Published:** October 14, 2026
- **Apply:** https://www.hellowork.com/fr-fr/emplois/84396359.html

## About the Role

Profile :- You hold a degree in Computer Science, Data Engineering, Information Systems, or a related field and have significant experience leading and operating enterprise Data Platforms within international environments.- You have successfully managed Data teams, external vendors, and Agile delivery organizations, and are familiar with key data disciplines such as Data Management & Governance, Data Modeling, Data Engineering, and Data Products.- You bring proven experience in operating and scaling business-critical Data Platforms within complex international organizations.- You are comfortable working within Agile environments and can effectively balance operational constraints, technical challenges, and business requirements.- You have collaborated extensively with a broad range of business functions and stakeholders across an organization.- Knowledge of modern Data Platform architectures, particularly Snowflake, would be considered a strong advantage.- Professional
proficiency in English is required to collaborate effectively with international stakeholders.About YouYou are a recognized leader with the ability to inspire and mobilize multidisciplinary teams around shared objectives in a demanding and rapidly evolving environment.Your ability to drive change and support technological transformation is a key asset, particularly as organizations increasingly embrace Artificial Intelligence and data-driven innovation.You possess outstanding communication, stakeholder management, and coordination skills, enabling you to build strong relationships across functions and successfully lead complex, cross-functional initiatives., You hold a degree in Computer Science, Data Engineering, Information Systems, or a related field and have significant experience leading and operating enterprise Data Platforms within international environments.

 - You have successfully managed Data teams, external vendors, and Agile delivery organizations, and are familiar with key data disciplines such as Data Management & Governance, Data Modeling, Data Engineering, and Data Products.
 - You bring proven experience in operating and scaling business-critical Data Platforms within complex international organizations.
 - You are comfortable working within Agile environments and can effectively balance operational constraints, technical challenges, and business requirements.
 - You have collaborated extensively with a broad range of business functions and stakeholders across an organization.
 - Knowledge of modern Data Platform architectures, particularly Snowflake, would be considered a strong advantage.
 - Professional proficiency in English is required to collaborate effectively with international stakeholders.

## Description

Reporting to the Data Department, your responsibilities will include:

 - Translating the Data Platform strategy into an operational roadmap aligned with the Group's business and technology priorities.
 - Leading the end-to-end delivery of Data Platform services, including data ingestion, transformation, storage, and data consumption.
 - Overseeing Data Engineering activities, from solution design to the deployment of data pipelines and datasets into production.
 - Ensuring service quality, platform performance, availability, reliability, and scalability.
 - Driving the transformation of existing environments toward the target Snowflake and Azure architecture.
 - Establishing and maintaining platform governance, ensuring compliance with engineering standards, CI/CD practices, security requirements, and regulatory obligations.
 - Managing the Data Platform budget and optimizing cloud expenditure through a FinOps approach.
 - Leading Data Engineering teams and external partners, fostering operational excellence and continuous skills development.
 - Coordinating stakeholders across Data, BI, AI, IT, and Business functions while ensuring effective prioritization, risk management, and performance monitoring.
 - Ensuring service continuity, compliance with service level agreements (SLAs), and continuous improvement of the user experience.