Manager - SAP BPC

Job description

**Role & responsibilities** - Design and implement SAP BPC Embedded solutions for financial planning, budgeting, forecasting, and consolidation. - Develop and optimize data models using SAP BW on HANA and native HANA modeling techniques. - Create planning functions and sequences, Analysis for Office (AO) input templates, and Business Process Flows (BPFs). - Integrate BPC with BW and HANA to enable real-time data access and performance optimization. - Collaborate with cross-functional teams to gather requirements, define architecture, and deliver end-to-end solutions. - Support data extraction, transformation, and loading (ETL) processes using BW and HANA tools. - Troubleshoot and resolve performance issues across BPC, BW, and HANA layers. - Document technical specifications and user guides and provide training to end users and support teams. - Develop BPC objects such as reports, input templates, script logic, and data manager packages. - Configure business process flows and business rules within SAP BPC. - Collaborate with cross-functional teams including ERP, security, and portal teams to ensure seamless data integration and reporting. - Participate in all phases of the project lifecycle: requirement gathering, blueprinting, testing, training, go-live, and post-implementation support. **Preferred candidate profile** - Bachelors or master’s degree in computer science, Information Systems, Finance, or related field. - 8–10 years of experience in SAP BPC Embedded, BW on HANA, and HANA modeling. - Strong command of BW modeling tools including InfoObjects, ADSOs, Composite Providers, and Open ODS Views. - Expertise in HANA Studio or Web IDE for native modeling (Calculation Views, SQL scripting). - Proficiency in ABAP for custom planning functions and enhancements. - Experience with Analysis for Office (AO) and Excel-based planning templates. - Excellent communication and documentation skills. - Preferred Experience - Exposure to SAP Analytics Cloud (SAC) and integration with BPC. - Familiarity with S/4HANA Embedded Analytics and mixed modeling scenarios. - Understanding of virtualized data warehouse architectures and performance tuning strategies.