Sap expert állások, munkák it, fejlesztési vezető kategóriában

Manage the technical implementation of the SAP FSM Solution with various constellations of connected back end systems including SAP ECC CS, non-SAP ERP systems and in the future S/4HANA Service Management...

• Lead SAP TM projects from initiation to successful completion
• Manage expectations on the development of solid project plans, with milestones and clear deliverables (in IT and business terms), handling risks, issues and objections
• Manage timelines, budgets and quality without compromise

Design and implement integration architectures between SAP (ECC/S4HANA) and Microsoft Power Platform (Power Automate, Power Apps) and Microsoft Fabric (Data Pipeline, Dataflows Gen2 , General ETL techniques)....

You will lead and coordinate end-to-end testing activities for our major SAP and Salesforce transformation, ensuring every detail is covered for a seamless go-live...

• Define and develop tools for large scale data analysis using machine learning and AI for on-going insight, to drive TCO reduction.
• Plan roadmap for cloud resources adoption, based on price/performance, capacity and demand.
• Automatic classification and recommendations for optimal resource allocation.

• Lead SAP GTS projects from planning to go-live and hypercare. • Manage project scope, timelines, budget, risks, and cross-functional teams. • Translate trade compliance requirements into SAP GTS solutions (SPL, Embargo, Customs Filing, Preference). • Oversee integration with SAP ECC/S/4HANA and...

• Lead the SAP development within the S/4HANA transformation program, functional developments and operational business
• Ensure all custom developments comply with SAP Clean Core principles and standardized development guidelines

• Collaborate closely with internal business stakeholders and translate business requirements into technical solutions.
• Own the end-to-end CLM architecture, including SAP Variant Configuration (LO-VC), SAP VCP, SAP SSC, and Encoway CPQ.

• Define and develop tools for large scale data analysis using machine learning and AI for on-going insight, to drive TCO reduction.
• Plan roadmap for cloud resources adoption, based on price/performance, capacity and demand.
• Automatic classification and recommendations for optimal resource allocation.