Scientific Data Product Manager
Nestle Operational Services Worldwide SA · Lausanne
Description du poste
About the role
As a Scientific Data Product Manager in Nestlé Research’s Computational Sciences department, you will own the end‑to‑end lifecycle of scientific data products spanning agriculture, packaging, clinical research, food safety and health & nutrition. You will translate scientific needs into high‑impact data solutions and drive their adoption across the organization.
Key responsibilities
- Define product vision, roadmap and success criteria, aligning scientific, data and technology goals.
- Partner with researchers to improve data quality, enrich metadata and enable FAIR‑compliant data discovery.
- Design and deliver scalable data products for bioinformatics, clinical and omics pipelines from concept to adoption.
- Coordinate multidisciplinary teams of scientists, data engineers, architects, AI specialists and external partners to accelerate delivery.
- Champion AI‑enabled automation to turn trusted data into faster, smarter insights.
- Maintain long‑term product stewardship, using adoption metrics and user feedback for continuous improvement.
Required profile
- Advanced degree (BSc, MSc or PhD) in Bioinformatics, Life Sciences, Chemistry, Computer Science or Engineering.
- Proven experience delivering data products in scientific settings, preferably food, life‑science or pharma.
- Strong product ownership skills: roadmap management, backlog prioritisation, user‑centric design and adoption tracking.
- Deep understanding of data engineering concepts, pipelines, ETL/ELT, APIs, metadata, governance and analytics architectures.
- Familiarity with modern data ecosystems – cloud platforms, Snowflake, Linux, containers, Airflow and DevOps practices.
Required skills
- Bioinformatics, Clinical data, Omics
- Data engineering, ETL/ELT, APIs, Metadata management, Data governance
- Cloud platforms, Snowflake, Linux, Container technologies, Airflow, DevOps
- Semantic modeling, Ontologies, Knowledge graphs, RDF, SPARQL
- FAIR data implementation, Lineage tooling
- AI, Automation, Reporting tools (DASH, Streamlit, Power BI)
What we offer
- Hybrid working model with flexible office options.
- Paid holidays beyond legal requirements and generous parental leave.
- Performance‑based bonus and strong pension contribution.
- Learning and development programmes, health‑care contribution and employee assistance.
- Employee discounts across Nestlé products and services.
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Nestle Operational Services Worldwide SA
Lausanne