2 of 2 Data Transformation Jobs in North Yorkshire

Job Overview: We are seeking an experienced and dynamic Project Manager to lead the modernization of our data platform to SAP Data Sphere. This role is responsible for overseeing the end-to-end execution of the project, including planning, execution, and delivery-ensuring that the project aligns with … business needs and technological requirements. The Project Manager will work closely with technical teams, business stakeholders, and external partners to drive the transformation from legacy data systems to a cloud-based SAP Data Sphere environment. Key Responsibilities: Develop detailed project plans, timelines, and resource allocation for the … SAP Data Sphere modernization project. Define project scope, goals, and deliverables that support business objectives in collaboration with senior management and stakeholders. Collaborate with internal stakeholders (business units, IT teams) and external partners (vendors, consultants) to ensure alignment of project goals and technical requirements. Conduct regular project meetings, updates More ❯

the successful delivery of projects to customers, on time and within budget. How Youll Spend Your Time Building and delivering custom solutions for integration, data migration, reporting enhancements, and specialized functionality to optimize customer implementations. Providing technical support for interfacing with external systems to ensure software performance and resolving … level technical specifications. Demonstrating product functionality at an expert level through presentations and training sessions. Facilitating technical workshops on topics such as integration workflows, data process flows, and business process alignment. Ensuring compliance with RLDatix technical standards in all project implementations. What Kind of Things Were Most Interested in … Server programming (Transact-SQL), .NET (C#), Typescript/Node.js, and Windows Server Administration. Hands-on experience with integration using Web APIs, cloud technologies, and data transformation processes. Familiarity with Agile methodologies and continuous integration/automated testing frameworks. Ability to work in a hybrid environment, commuting to our More ❯