R&D Data Steward & BA — Governance & Quality Lead

Pierre Fabre Pharmaceuticals, Inc.; Occitanie; Remote; EUR 65,000 - 85,000; Full time

Job summary

Pierre Fabre Laboratories is seeking a Data Steward to lead governance, quality, and lineage for critical R&D data assets in the Occitanie region. You will collaborate across Data Owners, SMEs, and IT to catalog metadata and ensure compliance with regulatory requirements.

The role focuses on building robust data governance processes, improving data discoverability, and enabling data-driven insights for research, development, and operations in a regulated environment.

Qualifications

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

Responsibilities

• Support the implementation of the R&D Data Governance Framework.
• Maintain business glossaries, data definitions, and metadata repositories.
• Ensure critical data assets are cataloged and documented.
• Promote data governance best practices across R&D functions.
• Define and monitor data quality metrics and KPIs.
• Identify data quality issues and coordinate remediation activities.
• Maintain data lineage, metadata, and business context for datasets.
• Support deployment of Data Governance platforms (Collibra, Ataccama).

Skills

Data governance

Business analysis

Master data management

Data quality management

Stakeholder management

Education

Master's degree or PhD in Sciences/Information Systems/Data Management

Tools

Collibra

Ataccama

Microsoft Excel

Job description

Pierre Fabre Laboratories is seeking a Data Steward to lead governance, quality, and lineage for critical R&D data assets in the Occitanie region. You will collaborate across Data Owners, SMEs, and IT to catalog metadata and ensure compliance with regulatory requirements.

The role focuses on building robust data governance processes, improving data discoverability, and enabling data-driven insights for research, development, and operations in a regulated environment.