### **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 LineReports 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.