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Ceva Logistics is seeking a Data Lead R&D to define and deploy its data strategy across the organization. Reporting to the Digital Data & Analytics department, you will drive governance, quality, and value creation for R&D, leading an international team and positioning data as a key asset for analytics and AI initiatives.
You will align stakeholders and oversee data governance, quality, and regulatory compliance (VICH, veterinary GCP) while building data products to support R&D, analytics, and
Data Lead R&D
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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.
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.
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.