4 of 4 Backlog Prioritisation Jobs in Scotland

business goals and customer needs. Cross-Functional Collaboration: Work closely with engineering, other product teams, marketing, and sales teams to ensure successful product delivery. Backlog Management: Maintain and prioritize the product backlog, ensuring that it is up-to-date and reflects the current business priorities. User Stories: Develop … detailed user stories and establish acceptance criteria to ensure stories are ready for development. Agile Ceremonies: Run agile ceremonies, including backlog grooming, sprint planning, sprint reviews, and retrospectives. Feature Validation: Conduct User Acceptance Testing (UAT) to validate that stories meet the definition of done and acceptance criteria. Customer Interaction ...

across scope, priorities, milestones, dependencies and release activity. Coordinate cross-functional teams including software, data, clinical, quality, regulatory, security, service and commercial stakeholders. Own backlog priorities and support release governance, readiness decisions and change control activity. Drive risk management across product delivery, including performance, compliance, cybersecurity, privacy and continuity ...

Translate business and operational goals into clear, prioritised product outcomes Collaborate with engineering, architecture and support teams to deliver scalable, supportable solutions Lead product prioritisation and investment decisions to maximise value and minimise risk Represent the product in governance forums and stakeholder discussions Ensure smooth delivery of system changes … Maintain high standards for product resilience, compliance and security Use data and insights to monitor performance and drive continuous improvement Support agile delivery through backlog refinement, prioritisation and clear requirements Build strong relationships with internal teams and third-party suppliers You will need Experience as a Product Manager ...

back‐office services - actively using AI to accelerate the product development lifecycle across discovery, definition, design, and refinement. Own and prioritise the product backlog using a clear value framework, balancing customer impact, operational efficiency, regulatory obligations, and technical sustainability. Maintain a strong continuous discovery cadence with customers, advisers … opportunities across operational and behavioural data, turning insight into prioritised product action. Champion the adoption of AI tools across your own daily workflows - from backlog management and stakeholder communications to research synthesis and delivery planning - modelling what it means to be a genuinely AI‐enabled product leader. ...