Queen Square Recruitment
Product Owner
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Product Owner – Data Platform (Life Sciences / AI & Scientific Data)
📍 Location: London, UK (Office-based) 📅 Duration: 6 months 💷Rate: £470 per day (Contract) 🧩 Role Type: Contract 👥 Number of Positions: 2
The Role
We are seeking a Product Owner to act as the key interface between business stakeholders, scientific users, and engineering teams. You will define, prioritise, and deliver product features across a scientific data and analytics platform, ensuring maximum value delivery and alignment with business and research needs.
This role sits within a life sciences / biotech data environment, supporting platforms that enable data ingestion, processing, governance, and access for scientific and analytical use cases.
Key Responsibilities
- Own and manage the product backlog, roadmap, and prioritisation across multiple workstreams
- Translate complex scientific and data requirements into clear, actionable user stories
- Work closely with data engineers, software engineers, data scientists, and scientific stakeholders
- Drive end-to-end product delivery using Agile methodologies (Scrum / SAFe)
- Ensure alignment between technical delivery and scientific/business outcomes
- Support delivery of data platform capabilities, including:
- Ingestion
- Processing
- Storage
- Access layers
- Facilitate stakeholder engagement across R&D, analytics, and engineering teams
- Manage dependencies across multiple global teams and delivery streams
- Ensure delivery quality through JIRA-based tracking and Agile ceremonies
- Contribute to product governance, documentation, and release planning
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Essential Skills & Experience
- Proven experience as a Product Owner or Technical Product Manager
- Strong background in data platforms, analytics platforms, or enterprise data products
- Hands-on experience in Agile delivery (Scrum / SAFe) and JIRA
- Ability to translate complex technical or data requirements into product features
- Experience working with engineering and data science teams
- Strong stakeholder management across technical and business domains
- Understanding of cloud-based data platforms (AWS / Azure / Databricks / Snowflake)
- Experience delivering multi-workstream or platform-level products
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Desirable Skills
- Experience in life sciences, biotech, biopharma, or pharmaceutical environments
- Exposure to scientific data, research data, or bioinformatics platforms
- Understanding of multi-omics data (e.g., transcriptomics, proteomics, functional assays)
- Familiarity with data governance, metadata management, and FAIR principles
- Experience working with regulated environments (GxP, compliance, audit frameworks)
- Knowledge of data ontologies or scientific data standards
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