4 of 4 Backlog Refinement Jobs in Surrey

passionate Product Owner to join our eMAR (electronic Medication Administration Record) product team. In this role, you'll work at the heart of an agile team, owning the backlog, representing the voice of the customer, and ensuring the timely, impactful delivery of features that make a real difference in care. You'll play a key role in shaping … the future of our eMAR product, helping care providers work more effectively and safely. What You'll Do: Create, prioritise, and refine a clear, actionable product backlog with well-defined user stories and acceptance criteria Define sprint goals, lead sprint planning, reviews, and retrospectives, and champion continuous improvement in every cycle Communicate the product vision and priorities clearly … manage and prioritise product backlogs Excellent communication and stakeholder management skills Customer-centric mindset with sharp analytical and problem-solving abilities Experience facilitating sprint ceremonies and backlog refinement Desirable: experience in health and social care, understanding of medication workflows, technical knowledge, or UI/UX design experience What We Offer: A base salary of up to More ❯

to realise the objectives of the Finance team aligned to Allianz UK Data Strategy, translating data analysis and business vision into actionable requirements and insights Run backlog refinement and prioritisation sessions on behalf of the Product Owner Collaborate with Product teams to design and implement solutions that align with our data-led strategy Assess, appropriately document, and More ❯

of new technology , architectural guidelines and market insight to recommend team level tools & technologies. Support the elaboration of requirements, formulation of the technical implementation plan and backlog refinement . Provide technical perspective to products enhancements & new requirements activities. Support module level architectural and design work and validation process, considering security and performance requirements, architectural guidelines, and your More ❯

data pipelines using Databricks and Apache Spark (PySpark) to support analytics and other data-driven initiatives. Support the elaboration of requirements, formulation of the technical implementation plan and backlog refinement. Provide technical perspective to products enhancements & new requirements activities. Optimize Spark-based workflows for performance, scalability, and data integrity, ensuring alignment with GxP and other regulatory standards. Research More ❯