Data Steward/BA
### **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 Ph
D 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.
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