Data Product Owner (Pipelines & Modelling)

Demonstrable experience as a Product Owner in your last two consecutive roles, ideally owning a data-heavy product. Proven, hands-on experience collaborating directly with in-house developers (not outsourced teams). Strong technical background with significant experience in data-heavy environments. Experience transforming messy or inconsistent source data into analysis-ready models. A "modern start-up PO" mindset: you are deeply involved in the 'what' and 'why', and you are used to sitting with developers to solve problems. An entrepreneurial approach; perhaps you’ve helped build an MVP, secured funding, or worked in a role where you had to justify product value with clear commercial outcomes.

Owning the end-to-end data lifecycle, from ingestion and transformation through to modelling, analysis, and visualisation. Converting disparate raw data into reliable, structured datasets ready for modelling, analysis, and visual reporting. Managing the product backlog, translating high-level business requirements into clear, actionable user stories. Leading a high-performing squad of engineers and analysts to ensure seamless delivery and creating a shared understanding of the product vision. Running product discovery, roadmap planning, and stakeholder management sessions, ensuring alignment between technical execution and business goals. Becoming the subject matter expert for a deeply technical data platform, with a focus on backend services, data pipelines, and API integrations. Championing our feedback-driven culture, continuously refining ways of working to deliver maximum value.