
Senior Data Product Owner
Micropep Technologies
full-time
Posted on:
Location Type: Hybrid
Location: France
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Job Level
Tech Stack
About the role
- Own the data product vision supporting R&D activities, from ideation to adoption.
- Challenge business needs, arbitrate priorities, and ensure alignment with the scientific and data strategy.
- Be accountable for the value delivered, operational impact, and adoption of the solutions.
- Translate complex business needs into clear functional specifications, user stories, and acceptance criteria.
- Build, prioritize, and maintain structured, value-driven backlogs.
- Facilitate Agile rituals (Scrum) as Product Owner: sprint planning, refinements, reviews.
- Work closely with data, IT, engineering, and scientific teams.
- Design and evolve complex scientific data models covering: molecule screening, plant phenotyping, analytical chemistry, bioinformatics, bioproduction, field trials.
- Ensure data consistency, quality, traceability, and usability across all R&D workflows.
- Lead or contribute to the integration and evolution of ELN / LIMS.
- Contribute to the design and industrialization of RAG (Retrieval‑Augmented Generation) solutions applied to scientific data (documents, protocols, experimental results, metadata).
- Collaborate closely with AI teams to structure, qualify, and expose the data required for GenAI use cases.
- Leverage GenAI tools to improve efficiency (ideation, prioritization, documentation, delivery).
- Apply design thinking principles to build user-centered solutions.
- Interact effectively with stakeholders at all levels, from technicians to executive leadership.
- Facilitate business workshops and co-creation sessions.
- Actively contribute to spreading a data culture across Micropep.
- Coach and support business teams’ data stewards.
Requirements
- Senior profile, with several years of experience as a Data Product Owner / Product Owner on complex data products.
- Proven experience in data product management (vision, delivery, adoption).
- Strong mastery of scientific data modeling.
- Significant experience in an R&D environment—biotech, life sciences, or a complex industrial setting.
- Good understanding of the challenges of scaling GenAI use cases.
- Solid hands-on experience with Agile / Scrum practices.
- Proficiency in SQL.
- Proven experience with ELN / LIMS, ideally Benchling.
- Fluent professional English required (written and spoken).
Benefits
- A key, cross-functional role at the heart of R&D and the data strategy.
- High-impact data products for scientific outcomes.
- An innovative, agile, international, fast-growing environment.
- The opportunity to sustainably structure Micropep’s data & AI foundation.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data product managementscientific data modelingAgileScrumSQLdata consistencydata qualitydata traceabilitydata usabilitydesign thinking
Soft Skills
stakeholder interactioncoachingfacilitationcollaborationprioritizationcommunicationleadershipproblem-solvingadaptabilityvisionary thinking