Product Owner

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, and 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🧬 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 with Agile delivery (Scrum / SAFe) and JIRAAbility 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🌱 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