individual who has advanced technical skill and experience of working at a senior level to shape strategic workforce information services. This post offers an ideal opportunity to use workforce data to support improvement and decision making within a busy healthcare setting, to make a difference for staff and ultimately patient care. The health board has an ambitious efficiency agenda … and the use of converting data into information to assist in strategic decision making is key to understanding opportunities for workforce transformation. Main duties of the job The post holder will support the delivery of a strategic plan for the full implementation and ongoing transformation in readiness to adopt the future workforce solution, including full system integration to allow … as the delivery of a comprehensive workforce and information analysis function, to deliver mandatory, ad hoc and innovative solutions to NHS workforce analysis needs, employing a broad range of dataextraction and manipulation techniques. The successful candidate will have a proven track record and extensive experience in using workforce systems with the ability to work flexibly under pressure More ❯
integration process for newly acquired entities, build reusable playbooks that will be used globally, and directly influence how document ecosystems evolve through ongoing acquisitions. If you enjoy solving complex data structuring challenges and turning chaotic legacy environments into clean, compliant, enterprise-grade repositories, this is the role for you. Job Title: Document Management Integration Lead Job Type: Permanent Salary … continuously refine a standardised migration “playbook” for future acquisitions Assess legacy repositories, analyse document structures and metadata, and map them to the enterprise taxonomy Plan and execute large-scale dataextraction, transformation, and loading (ETL) activities while maintaining full data integrity and compliance Run test migrations, reconciliation checks, and quality assurance cycles Troubleshoot issues in real time … guides, user documentation, and communication materials Identify automation opportunities and contribute to long-term process improvement What We’re Looking For Proven hands-on experience leading large document or data migration projects into an enterprise DMS Strong ability to analyse disparate source systems and accurately map structures, metadata, and retention policies Comfortable performing data cleansing, validation, and reconciliation More ❯
colleagues. Implement system functionality and customisation using low-code/no-code tools, and where applicable, simple coding or queries. Design and redesign screens, forms, menus, and reports; develop dataextraction queries and new interfaces. Liaise with the internal development team for more complex customisation tasks. Support integration of new features and rollout of innovations, ensuring correct deployment More ❯
colleagues. Implement system functionality and customisation using low-code/no-code tools, and where applicable, simple coding or queries. Design and redesign screens, forms, menus, and reports; develop dataextraction queries and new interfaces. Liaise with the internal development team for more complex customisation tasks. Support integration of new features and rollout of innovations, ensuring correct deployment More ❯
goals and projects. Manage the development, maintenance, and regular updates of Compliance systems and tools, including Intapp, WorldCheck, Orbis, and Thirdfort. Support the Compliance and senior management teams with dataextraction, analysis, and reporting through Intapp and Microsoft Reporting Services. Monitor and maintain data quality during system migrations and on an ongoing basis. Act as a Subject More ❯
London, South East, England, United Kingdom Hybrid/Remote Options
Method Resourcing
flexibility for remote work. Your Role Design, build, and deploy generative AI systems (LLMs, retrieval-augmented architectures, embedding pipelines, agents) from prototype to production. Lead the full ML lifecycle: dataextraction, modelling, fine-tuning, training, inference, deployment, and monitoring. Collaborate with product, engineering, and data teams to translate business needs into working AI solutions. Establish standards for More ❯
