Data Steward/BA

Who we are?

We are Pierre Fabre Laboratories, a global leader combining pharmaceutical expertise with dermo-cosmetics to support consumers and patients at every stage of their care journey. Our portfolio includes several medical franchises and international brands such as Eau Thermale Avène, Ducray, A-Derma, Klorane, René Furterer, and Pierre Fabre Oral Care. By joining us, you become part of a meaningful company where the human dimension is essential. You become a participant in the “We Care Movement,” a movement that values excellence and innovation within passionate teams. Together, we push the boundaries of science to unite health and beauty for the benefit of all, because Every time we care for a single person, we make the whole world better. Present in 120 countries with a team of over 10,000 employees, we are proud to create a scientific and human impact, today and tomorrow If caring is at the heart of your values, join Pierre Fabre Laboratories and become a key player in the “We Care Movement”.

Your 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.

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 understan