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Scientific Data Product Manager - Nestlé Research
Nestlé —Lausanne, VD
Experience coordinating delivery through multidisciplinary internal teams and external partners. Flexible working options, including hybrid work possibilities (…
1 h
[CH] Senior ReactJS / React Native Developer
WellD Sagl —Lugano, TI
By submitting this application, I agree that my personal data will be processed in accordance with WellD Sagl's Candidate Privacy Notice.
De 75 000 CHF à 90 000 CHF par an

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Scientific Data Product Manager - Nestlé Research

Nestlé -
Lausanne, VD

Soumettre votre candidature

Détails de l'emploi

100%
Il y a 1 heure

Avantages

Jours fériés payés
Congé parental payé
Réduction pour les employés
Logement
Caisse de pension

Qualifications

Power BI
Gestion du personnel
Niveau Doctorat
Anglais
Niveau Master
Niveau Licence
Mentorat
Linux
Metadata
Leadership
Compétences en communication
Graph databases

Description complète du poste

Strategic Research Operations

Location: Lausanne, Switzerland
Work model: Hybrid / Full time 100%
Contract type / duration: Permanent

Shape the future through scientific breakthroughs and innovation.

As a Scientific Data Product Manager at Nestlé Research in our Computational Sciences department, your mission will be to own the lifecycle of scientific data products across agriculture, packaging, clinical research, food safety, and health & nutrition scientific domains - reinforcing and increasing value of Nestlé Research's data foundations. You will identify high-value opportunities, translate scientific needs into impactful data products, and lead cross-functional delivery from discovery through adoption and communicate the same through an engaging product roadmap.

How you’ll make an impact as a Scientific Data Product Manager

Lead cross-functional workstreams in a dynamic research environment, defining product vision, requirements, priorities, and success criteria that align science, data, and technology.
Partner with scientific stakeholders to identify high-value needs, improve data quality, strengthen metadata, and make research data more discoverable and reusable through FAIR principles.
Translate scientific needs into scalable data products across bioinformatics, clinical, and omics pipelines, from discovery through adoption.
Orchestrate internal experts — including scientists, data domain owners, architects, data scientists, engineers, and software developers — together with external partners to accelerate priority delivery.
Champion AI-enabled data products, using automation and AI to turn trusted, well-governed scientific data into faster, smarter insights.
Own scientific data products for the long term, balancing feasibility and impact while using adoption, satisfaction, and delivered value to guide continuous improvement.

What will make you successful

Bachelors or Master’s or PhD in Bioinformatics, Life sciences, Chemistry or Computer Science, Engineering or equivalent, combining scientific domain understanding with data expertise.
Significant professional experience driving the seeding, implementation, adoption and lifecycle management of data products in a scientific context, preferably in food, life sciences or pharma.
Required expertise:
- - Solid experience with Bioinformatics or Clinical or Omics research data domains
  - Proven ability to identify business and scientific needs, perform stakeholder analysis, translate requirements into product backlogs, and prioritize delivery based on value, feasibility and strategic alignment.
  - Strong product ownership skills, including roadmap management, backlog prioritization, user-centric design, value definition, testing strategies, adoption tracking and continuous improvement.
  - Solid understanding of data engineering concepts, including data models, pipelines, ETL/ELT, APIs, metadata, data quality, data governance and analytics architectures, with the ability to guide technical decisions and challenge proposals.
  - Understanding of modern data ecosystems - cloud platforms, data warehouse, (e.g., Snowflake), Linux and container technologies, orchestration tools (e.g., Airflow), DevOps practices.
Nice-to-have expertise
- - Semantic modeling, ontologies, and knowledge graphs (e.g., RDF/SPARQL, biomedical/chemical vocabularies).
  - FAIR data implementation, metadata management, and lineage tooling
  - Experience with reporting tools (e.g., DASH, Streamlit, Power BI) is an advantage
Leadership experience
- - Experience coordinating delivery through multidisciplinary internal teams and external partners.
  - Ability to navigate complexity, manage ambiguity and align scientific, business and technical stakeholders around clear priorities.
  - Experience in mentoring or guiding junior resources
  - Excellent problem-solving, strong communication, stakeholder management and knowledge-sharing skills
  - Fluent spoken and written English

At Nestlé Research, we place people at the core of everything we do.

Our benefits are designed to support your growth and wellbeing, so you can thrive at work and in life:

Flexible working options, including hybrid work possibilities (for office based roles)
Paid holidays beyond legal requirements
Learning and development opportunities to grow your career
Performance based bonus
Healthcare contribution and access to the Employee Assistance Program
Strong employer contribution to your pension plan
Generous parental leave and comprehensive family support solutions
Attractive employee discounts across various products and services

What to expect from our hiring process

We are committed to an inclusive and respectful hiring experience and are happy to provide reasonable accommodations if needed. Our workplaces are fully accessible and supported by a strong safety culture, with modern installations and procedures to ensure a safe environment for everyone.

The hiring process typically includes a video interview with Talent Acquisition, an interview with the hiring team, and a final discussion and offer. We review applications as they are received and close the role once a strong list of relevant candidates is identified, so we encourage you to apply early. All information is treated confidentially.

Stay vigilant: Nestlé will only contact candidates via official company email addresses and will never ask for payments or sensitive personal information at any stage of the hiring process.

Ready to #BreakthroughTogether?

Apply now and shape the future through scientific breakthroughs and innovation.

#nestlecareerswitzerland

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Scientific Data Product Manager - Nestlé Research

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