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SNP Transformations, Inc. is seeking a FI/CO Consultant to design and implement SAP-based concepts for mergers, acquisitions, and reorganizations. The role requires strong SAP FI/CO knowledge and ABAP experience, with data migration expertise and a proactive, collaborative mindset.
The candidate should have 5+ years in SAP FI/CO, cross-module knowledge, and willingness to travel. Based in Puerto Rico, you will work with global enterprise clients on complex transformation projects and provide
SNP Transformations, Inc. is a software company that solves complex business problems for enterprise customers worldwide with more than 15,000+ successful outcomes globally.
Kyano is our comprehensive, composable platform enabling business agility. By integrating data management, migration and continuous system assessments, Kyano empowers organizations to adapt quickly to market demands. Building on the success of CrystalBridge®, Kyano expands data source support, with plans to broaden target compatibility in the future - ensuring a robust, forward-looking solution for businesses to stay competitive and agile.
Our vision is to empower organizations worldwide to increase their business agility sustainably through data‑enabled transformation capabilities. With this in mind, we place special emphasis on driving measurable customer success and forming close partnerships with companies that implement innovative solutions together with us. The Kyano platform offers our customers end-to-end support throughout the entire transformation cycle – ranging from continuous analysis and holistic data management to migration and restructuring initiatives. At the same time, it enables the seamless integration of partner solutions. In developing Kyano, we strive to maximize security and compliance while delivering measurable added value at all times.
SNP Transformations Inc. is seeking a FI/CO Consultant. The consultant will design and implement technical concepts for mergers, acquisitions, carve-outs, divestitures or in the context of reorganizations at system and data level.