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Data Lead R&D

Entreprise
Ceva Santé AnimaleRecrute en direct
Localisation
Libourne, Nouvelle-Aquitaine
Sur site
Type de contrat
CDI
Niveau
Senior

Salaire du marché

Médiane du marché
60k€
Estimation
53k€fourchette habituelle68k€

Cette offre n'affiche pas de salaire. D'après 115 offres pour ce poste (Senior, France), le marché se situe autour de 60k€ (53k€–68k€).

Salaire du marché pour Tech Lead (Senior) en France : médiane 60 000 €/an, P25–P75 : 52 500–67 500 €/an, n = 115 offres. Salaire Data / SQL

Baromètre TJM et salaires IT

Description du poste

Data Lead R&D
The success of a company depends on the passionate people we partner with.
Together, let's share our talents.
As a global leader in animal health, Ceva Animal Health believes our success is linked to our passionate people researching, developing , producing and supplying innovative health solutions for all animals, which contributes to the future of our diverse planet.
We are committed to ensuring the highest possible level of care and well-being for farm animals (poultry, pigs, ruminants), companion animals (dogs and cats) and wildlife.
Indeed, Our "Together, Beyond Animal Health" vision emphasizes that the health and wellbeing of people, animals and our planet are totally interlinked. More than ever, Ceva is committed to a "One Health" approach.
As part of our "Diversity, Equity and Inclusion" policy, Ceva Animal Heath is committed to the employment of people with disabilities and will make reasonable accommodations throughout the interview process to ensure an inclusive and accessible experience for all applicants. To request an accommodation, please contact a member of the Ceva Talent Acquisition team.
Yourmissions :
Context:
As part of its digital transformation, Ceva R&D is creating a new Data Lead R&D position to define and deploy its data strategy across the organization. Reporting to the Digital Data & Analytics department, you will drive data governance, quality, and value creation across R&D. You will lead an international team and position data as a key asset supporting analytics and AI initiatives.
Key Responsibilities:
Define and Drive the R&D Data Strategy

  • Develop and implement the R&D data strategy across business units and sites.
  • Lead the data roadmap, including governance, MDM, data catalog, data products, and Snowflake platform development.
  • Establish the data platform as a trusted source for analytics and AI.
  • Align business, IT, and regulatory stakeholders around strategic priorities.
Lead and Develop an International Data Team
  • Manage a team of Data Engineers and Clinical Data Managers across multiple locations.
  • Foster collaboration between technical and business teams.
  • Build and support the R&D data community while developing team capabilities.
Ensure effective data governance and data valorization
  • Define and implement data governance, quality, and traceability standards.
  • Ensure data compliance and integrity in a regulated environment (VICH, veterinary GCP).
  • Develop business-oriented data products that support R&D, Analytics, and AI use cases.
  • Harmonize data practices across sites and business entities.
Yourprofile :
Profile:
  • Master's degree or Engineering degree in Data, Computer Science, or a related field.
  • Proven experience in team management, ideally within an international and multi-site environment.
  • Strong expertise in data strategy, governance, data quality, and data products.
  • Ability to work effectively with both technical teams (Data Engineering, Snowflake, SQL) and business stakeholders (Clinical Data Management, clinical trial data).
  • Good understanding of regulated environments and data integrity principles (GCP, ALCOA+).
  • Fluent English is required; Fluency in French is appreciated.
  • Strong leadership, proactive mindset, excellent interpersonal skills, service orientation, and the ability to influence cross-functional teams.
Technical Environment: Snowflake, SQL, Data Governance, Data Catalog, MDM, Clinical Data Management (EDC), CDISC standards, R&D Data & Analytics ecosystem.
Location: Libourne, France, with significant international collaboration.

Exigences du poste

Compétences requises

  • Google Cloud Platform
  • Artificial Intelligence
  • Data Quality
  • Talend MDM
  • Data Engineering
  • Microsoft Teams
  • Data Governance
  • SQL
  • Snowflake
  • Management d'équipe

Un plus

  • Makefile
  • Reporting / Dashboards
  • Roadmap
  • MDM (Master Data Management)
  • Anglais

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