4 of 4 Backlog Prioritisation Jobs in the East of England

team owns the Group Data Warehouse, a global data platform that supports Computacenters combined reporting requirements across the world. In Data Management, you will turn Data Demand into prioritised backlog requirements and partner with business units to deliver maximum customer value from data. If you enjoy practical delivery, measurable outcomes and helping teams make better decisions with trusted data … Senior Data Consultant, you will play a key role in shaping and delivering data solutions that support business strategy. You will lead the definition of complex data requirements, guide prioritisation across the backlog, and mentor others within the team. Your focus will be on aligning data initiatives with business value, driving collaboration, and ensuring clear communication throughout delivery. … You will: Lead requirements definition (30%): Work with senior stakeholders, SMEs and Data Stewards to define and document complex, high-level business and technical data requirements. Guide backlog prioritisation (10%) Take ownership of the product backlog, ensuring priorities reflect both near-term needs and long-term strategic goals. Business Process Integration (20%): Analyse and map complex business More ❯

ups and steering meetings, managing team capacity and dependencies, and serving as a key escalation point for project risks and blockers. You will also coordinate with offshore teams, support backlog prioritisation, and present regular status updates to senior stakeholders and portfolio leads. On occasion, you will co-manage personnel in distributed environments where direct reporting lines are limited. More ❯

teams across Product Management, Development, and IT, providing structure, communication, and delivery leadership. Own project planning, milestones, risks, budgets, and reporting, ensuring stakeholder alignment and governance. Facilitate Scrum ceremonies, backlog prioritisation, and Agile coaching for new or developing teams. Identify and mitigate risks and dependencies while maintaining transparency through clear reporting to senior leadership. Partner with business and More ❯

for non-technical users Conduct user training or adoption sessions, gathering feedback to refine solutions and measure user satisfaction. 9.Project & Delivery Management Oversee end-to-end analytics initiatives: scoping, backlog management, user acceptance testing, final deployment. Ensure on-schedule, on-budget delivery of solutions, highlighting potential risks or dependencies to the Head of BI or relevant leads. Key Measures … of new, innovative features that improve lottery analytics. 2.Stakeholder Satisfaction & Prioritization Positive feedback from business units (finance, marketing, ops) on clarity and effectiveness of reporting solutions. Evidence of effective backlog prioritization, ensuring high-impact projects are addressed first. 3.Data Accuracy & Regulatory Alignment Minimal data quality incidents related to lottery data (e.g., sales, draws); no compliance breaches with lottery or More ❯