4 of 4 Translating Business Requirements Jobs in Renfrewshire

already operational in the USA. You will oversee all aspects of the project lifecycle from planning and design to deployment and post-implementation support, ensuring the solution meets business requirements while minimising disruption. … You Will: ** Lead the end-to end JD Edwards ERP project lifecycle, ensuring milestones, deliverables, and resource requirements are clearly defined and met. ** Collaborate with stakeholders globally, translating business requirements into actionable project plans and delivering a solution that supports international operations. ** Manage project scope, risks, and budgets while ensuring alignment with organisational … to ensure smooth adoption of JD Edwards EnterpriseOne. ** Maintain project documentation, reporting progress and KPIs to executive leadership. ** Support the organisation in leveraging JD Edwards’ capabilities to drive business transformation and long-term value. Who We’re Looking For: ** Strong experience managing complex ERP implementation projects, ideally JD Edwards, but (SAP, Oracle, IFS, Netsuite, Infor etc welcomed too More ❯

as Apache Airflow Previous exposure to big data technologies (e.g., Hadoop, Spark) for large data processing Strong analytical skills, including a thorough understanding of how to interpret customer business requirements and translate them into technical designs and solutions. Strong communication skills both verbal and written. Capable of collaborating effectively across a variety of IT and Business … manage a complex ever changing priority list and resolve conflicts to competing priorities. Strong problem-solving skills. Ability to identify where focus is needed and bring clarity to business objectives, requirements, and priorities. More ❯

role, you'll design, build, and deploy AI and automation features that make a tangible impact. You'll collaborate with our data and development teams to turn complex business challenges into intelligent, scalable solutions that improve efficiency and deliver measurable value to clients. A typical day would look like the following: Design and develop AI-powered features, agents … and automation workflows. Work closely with developers, data engineers, and product teams to integrate AI into production systems. Identify opportunities where AI can drive innovation and operational improvement. Translate business requirements into technical implementations using modern AI tools and cloud technologies. Continuously evaluate and improve the performance and reliability of deployed models. Educate and support teams More ❯

in a collaborative, innovation-driven environment. Key Responsibilities Design and implement robust machine learning models using modern frameworks and libraries. Collaborate with data scientists, engineers, and stakeholders to translate business requirements into technical solutions. Optimize and deploy models using tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines using MLflow, Kubeflow, and More ❯