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Pierre Fabre develops medicines and dermocosmetic products, from research to manufacturing and distribution.

Information about Pierre Fabre
Official domain
pierre-fabre.com
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203

Job details

The full description published by Pierre Fabre.

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Qui sommes-nous

Nous sommes les Laboratoires Pierre Fabre, leader mondial qui allie expertise pharmaceutique et dermo-cosmétique pour accompagner les consommateurs et les patients à chaque étape de leur parcours de soins. Notre portefeuille compte plusieurs franchises médicales et marques internationales dont Eau thermale Avène, Ducray, A-Derma, Klorane, René Furterer et Pierre Fabre Oral Care. En nous rejoignant, vous intégrez une entreprise riche de sens, où la dimension humaine est essentielle.

Vous devenez acteur du "We Care Movement", un mouvement qui valorise l'excellence et l'innovation au sein d'équipes passionnées. Ensemble, nous repoussons les limites de la science pour unir santé et beauté au bénéfice de tous, car à chaque fois que nous prenons soin d’une seule personne, nous rendons le monde meilleur. Présents dans 120 pays et une équipe de plus de 10 000 collaborateurs, nous sommes fiers de créer un impact scientifique et humain, aujourd'hui et demain!

Si prendre soin est au cœur de vos valeurs, rejoignez les Laboratoires Pierre Fabre et devenez un acteur clé du "We Care Movement". Votre mission Context The Data Steward plays a key role in implementing the R&D Data Strategy by ensuring data quality, consistency, governance, and discoverability across the R&D organization. Working closely with business stakeholders, Data Owners, Business Analysts, Data Engineers, and Data Scientists, the Data Steward is responsible for documenting, governing, and improving the quality of critical R&D data assets to maximize their value for scientific research, development, regulatory, and operational activities.

Key Responsibilities

Data Governance

  • Support the implementation of the R&D Data Governance Framework.
  • Maintain business glossaries, data definitions, and metadata repositories.
  • Ensure critical data assets are properly cataloged and documented.
  • Facilitate collaboration between Data Owners, SMEs, and technical teams.
  • Promote data governance best practices across R&D functions. Data Quality Management
  • Define and monitor data quality metrics and KPIs.
  • Identify data quality issues and coordinate remediation activities.
  • Support root cause analysis of recurring data issues.
  • Contribute to continuous improvement of data quality processes. Metadata & Data Catalog Management
  • Maintain data lineage, metadata, and business context for critical datasets.
  • Support deployment and adoption of Data Governance platforms (e.g., Collibra, Ataccama).
  • Ensure proper classification and stewardship of R&D datasets.
  • Facilitate data discoverability and reusability across the organization. Data Platform & Analytics Enablement
  • Support Data & AI initiatives by improving data readiness and accessibility.
  • Participate in the identification and prioritization of data improvement opportunities.
  • Work with project teams to ensure governance requirements are embedded in new solutions.
  • Contribute to the success of the R&D Data Platform and associated use cases. Compliance & Risk Management
  • Support compliance with regulatory, data privacy, and retention requirements.
  • Ensure governance controls are properly documented and maintained.
  • Participate in audits, inspections, and governance reviews when required. Qui êtes-vous ?

Qualifications

& Experience Education

  • Master's degree or PhD in Sciences, Information Systems, Data Management, or a related field. Experience
  • Experience in data governance, business analysis, master data management, or data quality management.
  • Experience working in a pharmaceutical, biotechnology, healthcare, or regulated environment is preferred.
  • Familiarity with R&D business processes is highly desirable. Technical

Skills

Understanding of Data Governance principles and frameworks.

  • Knowledge of Data Catalog, Metadata Management, and Data Quality concepts.
  • Familiarity with Data Platforms and Analytics environments.
  • Experience with data governance tools such as Collibra, Ataccama, or equivalent is a plus.
  • Good understanding of Microsoft Office tools and data analysis techniques. Soft

Skills

Strong organizational and analytical skills.

  • Excellent communication and stakeholder management abilities.
  • Ability to work across multiple business functions and disciplines.
  • Proactive, structured, and detail-oriented mindset.
  • Strong facilitation and collaboration skills. Reporting Line Reports to the Data Governor within the R&D Pharma IT. Key Interfaces
  • R&D Business Functions
  • Data Owners
  • Business Analysts
  • Data Engineers
  • Data Scientists
  • Laboratory Management Teams
  • Quality & Regulatory Functions
  • IS R&D Services and Delivery Teams Success Criteria
  • Improved quality and governance of critical R&D data assets.
  • Increased adoption of Data Governance processes and tools.
  • Enhanced data discoverability and business understanding of data.
  • Effective support of Data Platform and Data & AI initiatives.
  • Compliance with regulatory and corporate data governance requirements. If you are passionate about data governance and want to make a significant impact at Pierre Fabre, we encourage you to apply. La première richesse des Laboratoires Pierre Fabre, sont les femmes et les hommes qui les composent disait M. Pierre Fabre. Fiers de cet héritage, et convaincus que la diversité des parcours, des expériences et des identités renforce notre performance collective, nous nous engageons à promouvoir l’égalité des chances et à garantir un environnement inclusif pour tous. Dans le respect des lois en vigueur, toutes les candidatures sont étudiées avec la même attention, sans distinction d’origine, de sexe, d’âge, de situation de handicap, d’orientation sexuelle, d’identité de genre, de croyances ou de toute autre caractéristique protégée par la loi.

Requirements

  • Data governance
  • Business analysis
  • Master data management
  • Data quality management

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