R&D Data Management Delivery Expert

Job description

Join our FAIR Data Management team to strategically lead the delivery of R&D data engineering and modeling projects that power FAIR, interoperable science. Build and scale pipelines, models, and catalogs on our modern data platform. Partner with scientists to turn complex requirements into reusable data products.

Job title: R&D Data Management Delivery Expert.

Your key responsibilities

• Lead end‑to‑end delivery of data engineering and modeling projects (pipelines, models, catalogs).
• Enable and oversee squads to build and scale reliable pipelines and reusable data products, ensuring performance and quality.
• Define and enforce modeling standards and metadata/lineage practices aligned with FAIR.
• Partner with (data)scientists and IT, translating complex needs into practical, scalable data solutions.
• Shape and govern scalable data architectures, guide adoption of modern approaches (e.g., Data Mesh), and ensure robust governance across scientific and research data domains.
• Coach engineers/modelers and drive best practices, documentation, and continuous improvement.

We Offer

• Unique career paths across health, nutrition and beauty - explore what drives you and get the support to make it happen
• A chance to impact millions of consumers every day – sustainability embedded in all we do
• A science led company, cutting edge research and creativity everywhere – from biotech breakthroughs to sustainability game-changers, you’ll work on what’s next
• Growth that keeps up with you – you join an industry leader that will develop your expertise and leadership
• A culture that lifts you up – with collaborative teams, shared wins, and people who cheer each other on.
• A community where your voice matters – it is essential to serve our customers well.

You bring

• 3+ years’ experience delivering R&D data engineering and modelling initiatives in a scientific environment.
• Bachelor’s or Master’s degree in Information Technology, Data Science, Information Management, or a related field.
• Deep expertise in data architecture, data governance, and FAIR principles, with the ability to drive technical execution and foster collaboration across R&D and technology teams.
• Knowledge of modern data platforms and tooling such as cloud (e.g., AWS, Azure), Databricks (PySpark/Spark SQL), Unity Catalog, dbt, Informatica, Git/Azure DevOps, and CI/CD.
• Strong data modeling and metadata skills—including Data Vault 2.0, lineage, and data quality frameworks.
• Stakeholder leadership and communication, coupled with Agile/Lean ways of working and a curious, growth mindset that seeks better, smarter, more sustainable data‑driven decisions.

About dsm-firmenich

At dsm-firmenich, we don’t just meet expectations – we go beyond them. Join our global team powered by science, creativity, and a shared purpose: to bring progress to life.