Data Owner Support H/F - 78

Excelya is an independent partner that serves Biotech, Pharma, and Medical Device organizations with a comprehensive range of full-service CRO, FSP, and Resourcing solutions guided by our values Energy, Care and Audacity.

Founded in 2014 and headquartered in Paris, France, Excelya has a global team of 900+ experts who understand the critical needs of clients to provide bespoke and robust trial solutions across a broad spectrum of therapeutic areas.

We take a one-team approach to work: our shared success is the result of collaboration at every stage of a project, from regulatory affairs and clinical operations to quality assurance and strategic development.

Excelya is committed to helping our clients deliver life-changing therapies collaboratively, so we can transform tomorrow together.About the Job

Join Excelya, whereAudacity, Care, and Energydefine who we are and how we work. We believe in creating bold solutions and fostering an inclusive environment where collaboration and individual growth go hand in hand.

This role is an exciting opportunity to contribute to a dynamic, ambitious team in Data Management. You will play a critical part in driving innovation and making an impact in the clinical research space, while enjoying a stimulating professional environment that encourages personal and intellectual growth.

Main Responsibilities

- Describe and document data, quality management rules, and access policies for a defined business domain.
- Support Data Owners in day-to-day governance and decision-making.
- Accelerate data quality improvement according to FAIR principles.
- Contribute to data documentation, metadata modeling, and governance frameworks.
- Map data objects, flows, and processes across the domain.
- Enrich and maintain the enterprise data catalog and business glossary.
- Define and document data lifecycle, integrity risks, and compliance requirements.
- Build remediation plans to address data quality or integrity gaps.
- Facilitate collaboration between business teams, IT, data functions, and subject-matter experts.
- Report progress, risks, and FAIR maturity evolution to R&D data governance bodies.