5 of 5 Use Case Jobs in Woking

hands‐on experience in delivering Analytics solutions, with ideally at least 3–5 years delivering commercially focused analytics serving a wide range of use cases. Experience working with & blending a variety of data types – Sales, Financial, Supply Chain. Proven track record of designing and implementing complex ...

Azure-based environments. Build and maintain model training, evaluation and monitoring processes. Advise on appropriate AI and machine learning approaches for business use cases. Partner with data, engineering and technology teams to ensure solutions are production-ready and deliver measurable value. Present insights and recommendations to both technical ...

into standard operating procedures, improving efficiency, decision‐making, and scalability Ensure AI adoption aligns with Valsoft best practices, focusing on practical, value‐driven use cases rather than experimentation for its own sake Support change management and adoption to ensure AI initiatives deliver measurable business outcomes Valsoft Playbook Implementation ...

processes, systems, and user needs to identify solutions and improvements. Create and maintain detailed functional and non-functional requirement documents, user stories, and use cases. Translate complex technical concepts into easily understandable language for non-technical stakeholders. Perform gap analysis to identify discrepancies between business requirements and current ...

working into measurable operational improvement. Working alongside Process Engineers and business stakeholders, the role will connect process design, technology architecture and AI use cases into one coherent future-state operating model. The successful candidate will balance strategic leadership with practical delivery, ensuring recommendations are grounded, scalable and capable … with Process Engineers to translate future business processes into practical, system-enabled solutions. Work closely with the Lead, AI Transformation to ensure AI use cases are supported by the right data, platforms and architecture. Define how AI capabilities are embedded into core systems and workflows, avoiding siloed ...