Scientific Data Product Manager - Nestlé Research

Nestlé S.A.; Lausanne; Hybrid; CHF 140.000 - 210.000; Vollzeit

Benefits dieser Stelle

Flexible hybrid work

Holiday pay

Learning & development

Performance-based bonus

Healthcare contribution

Pension plan

Parental leave

Employee discounts

Zusammenfassung

Nestlé Research in our Computational Sciences department seeks a Scientific Data Product Manager to own the lifecycle of scientific data products across agriculture, packaging, clinical research, food safety, and health & nutrition domains.

You will translate scientific needs into impactful data products, lead cross-functional delivery from discovery through adoption, and shape an engaging product roadmap aligned with Nestlé Research's data foundations.

Qualifikationen

• Bachelor/Master/PhD in Bioinformatics, Life sciences, Chemistry or Computer Science, Engineering or equivalent.
• Significant experience seeding, implementing, adopting and lifecycle-managing data products in a scientific context.

Aufgaben

• Lead cross-functional workstreams defining product vision, requirements, and success criteria that align science, data, and technology.
• Identify high-value scientific needs and translate them into scalable data products across bioinformatics, clinical, and omics pipelines.
• Collaborate with scientists, data domain owners, architects, data scientists, engineers, and external partners to accelerate delivery.
• Advocate for AI-enabled data products to turn trusted scientific data into insights.
• Own data products long-term, balancing feasibility and impact with adoption and value metrics.

Kenntnisse

Bioinformatics

Life sciences

Data governance

Data pipelines

Roadmap management

Backlog prioritization

Stakeholder management

Communication

English fluency

Ausbildung

Bachelor/Master/PhD in Bioinformatics, Life sciences, Chemistry or Computer Science, Engineering or equivalent

Tools

Snowflake

Linux

Airflow

Kubernetes

DevOps

Jobbeschreibung

Strategic Research Operations

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
• 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.

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