The growing adoption of AI/ML and data analytics pipelines in industrial and research settings has increased the demand for accessible, user-centred tools forpipeline management. While existing orchestration platforms provide mechanisms for execution tracking, they often expose complex execution information in ways that are difficult to interpret, limiting their usability. This paper presents the Data Analytics and Visualization Environment (DAVE) Execution Environment, a user-centred interface
