Product Owner, Omics & Data Platforms

AstraZeneca's cancer and translational scientists rely on a chain of omics platforms to get from a sample to an insight: sample metadata management, omics processing, a molecular data warehouse, a cancer genomics portal, and single-cell and spatial analytics tools. We are seeking a Product Owner, Omics & Data Platforms, to own several of these platforms and to keep the chain working for the people who use it.

You will own the roadmap, vendor relationships and run quality for your platforms, starting with the cancer genomics portal and the single-cell and spatial analytics tools, and supporting the wider sample-to-insight chain. You will make sure the platforms follow FAIR data principles, are available to users around the world, and connect cleanly to the AI agents and tools that scientists increasingly use.

You will work with computational biologists, translational scientists, platform and data engineers, external vendors and open-source partners, procurement and finance. The ideal candidate combines a scientific understanding of omics data with sound product and vendor management, and is comfortable making decisions about what to keep, renew or replace.

• Own the roadmap and backlog for the cancer genomics portal and the single-cell and spatial analytics platforms, and prioritise work with engineering and vendor partners.
• Support the owners of the other platforms in the sample-to-insight chain, and keep a clear view of how data moves between them.
• Maintain a current record of each platform's users, usage, cost and risks.
• Manage relationships with commercial vendors and open-source partners, and track delivery against agreed scope.
• Prepare the case for renewals and changes to licenses, including usage, cost per user and alternatives, working with procurement and finance.
• Help assess successor options in good time, so that contract end dates do not force a decision.
• Make sure platforms meet agreed service levels, and work with engineering and support teams on incidents, releases and upgrades.
• Run access, onboarding and training for users in different regions, and collect feedback to guide the roadmap.
• Plan regional deployments or instances, for example for users in China or Japan.
• Apply FAIR data principles and metadata standards across your platforms, working with data owners and platform engineering.
• Define how platform data is exposed to AI agents and other tools through governed interfaces, with security and data owners.
• Work through ownership gaps between platforms, such as sample identifiers and shared metadata.
• Make sure platforms follow data privacy, access approval and data residency requirements, including controls for human-derived data.
• Complete governance and AI reviews for platforms that add AI features.
• Keep documentation current for audit and review.
• Track infrastructure, license and contractor cost against plan and flag overruns early.
• Contribute to planning cycles with a clear view of run cost and options.
• Work closely with computational biologists, translational and oncology scientists, engineers, vendors, procurement and finance.
• Communicate clearly about platform availability, limits and plans.

This is an in-office role based in Barcelona, ES, with a requirement to work a minimum of three days per week on-site. Remote or travel flexibility is not available.