University Hospital of North Midlands NHS Trust
Job summary
Working closely with the Business Manager, the post-holder will help maintain a robust contract monitoring system for acute commissioned activity and provider-to-provider services, maximising income and ensuring the Trust receives all payments due for clinical and other work.
The role will involve analysing variances from plan and identifying trends in activity and income using appropriate Business Intelligence tools, supporting the understanding of key income drivers. They will also ensure reconciliation of activity across multiple systems to maintain data integrity and accuracy.
The post-holder will be expected to maintain an up-to-date understanding of the National Payment System and associated guidance, and to proactively develop their own skills and knowledge to support both personal development and the continuous improvement of the service.
Overall, the role will play a key part in ensuring that the Trust’s reported income position is accurate, reliable and reflective of activity.
Main Duties
Lead the Trust’s activity planning, forecasting, business intelligence and NHS payment system functions, providing expert analytical support to senior leaders, clinicians and commissioners. Responsible for developing and maintaining complex activity, income, demand and capacity models, delivering the annual activity plan, and providing detailed analysis to support financial planning, contract negotiations, service transformation and strategic decision-making. Lead the development of reporting and automation solutions using Power BI, SQL, macros and other business intelligence tools to improve efficiency and reporting capability across the organisation. Manage in-year contract monitoring, income forecasting, commissioner queries and financial reconciliations, ensuring the Trust maximises and protects income under the NHS Payment Scheme. Provide specialist advice and training on NHS payment systems, contracting and activity planning, while maintaining robust governance through accurate reporting, quality assurance, process documentation and continuous improvement of analytical systems and methodologies.
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