Scientific Data Product Manager

5 days ago

London, United Kingdom Planet Pharma Full time

Seeking a Scientific Data Product Manager to support strategic initiatives within their Scientific Information & Intelligence function. This role plays a key part in shaping and executing the organisation's data marketplace strategy, enabling researchers and digital teams to seamlessly access external scientific information critical for R&D, AI adoption, and enterprise analytics.The OpportunityYou'll drive the evolution of a next-generation scientific data marketplace, enabling high-quality, FAIR-aligned, reusable information assets for scientific and business users. You'll champion user-driven design, modern data architecture principles, and AI readiness to ensure the organisation can fully leverage its licensed external information assets.Key ResponsibilitiesStrategic Product LeadershipDefine and refine the vision for a scientific data marketplace supporting R&D and business operations.Promote data mesh, data-as-a-product and data contract principles across the organisation.Lead the stewardship of external published information datasets, ensuring high-quality, discoverable and compliant assets.Evaluate and propose new technologies to optimise data access, usability, and interoperability.User Engagement & DesignPartner with scientists and business users to understand workflows and information needs.Ensure seamless access to external data sources, enhancing scientific discovery and digital operations.Represent the data marketplace through demos, presentations, user feedback sessions and training.Data Enablement & AI ReadinessDrive data quality, metadata excellence, semantic enrichment and interoperability.Work closely with AI teams to ensure external data is ready for advanced analytics and LLM-based applications.Collaborate on enterprise metadata standards, data models, domain alignment and onboarding pathways.Technical & Professional RequirementsStrong expertise in information science, metadata, ontologies, scientific knowledge systems, and FAIR data principles.Proven experience in product management, ideally for scientific, data, or digital products.Familiarity with agile methodologies and cross-functional product delivery.Understanding of LLMs, agentic AI, and emerging scientific data technologies.Excellent stakeholder engagement, communication, and collaborative leadership skills.Ability to thrive in a rapidly evolving R&D data landscape.

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