**Introduction** A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio **Your role and responsibilities** * Progettare e configurare soluzioni di pianificazione e controllo con SAP Analytics Cloud. * Gestire end-to-end progetti EPM: Planning, Budgeting, Forecasting, Rolling Forecast, Financial Reporting. * Collaborare alla raccolta requisiti e all’analisi funzionale, redigendo documentazione tecnica. * Lavorare su iniziative greenfield e roll-out, anche in contesti Agile o SAP Activate. * Coordinare attività di team e supportare la governance di progetto. * Interagire con i referenti business su processi di pianificazione: P&L, Stato Patrimoniale, Cash Flow, WBS, centri di costo e ordini. **Required technical and professional expertise** * Esperienza: * Almeno 8 anni nel mondo EPM con strumenti SAP (BPC / SAC Planning). * 5+ anni di esperienza concreta su SAP Analytics Cloud - Planning. * Inglese almeno livello B2. * Competenze tecniche: * Modellazione e configurazione in SAC Planning: gerarchie, versioni, misure calcolate, scripting avanzato (Data Actions, Advanced Formulas, Allocation Steps). * Integrazione dati da S/4HANA, BW/4HANA, Datasphere, ERP legacy (tramite Data Import Services, CDS Views, API). * Esperienza in SAP BPC NetWeaver o Embedded: data modeling, business rules, consolidamento, security, reporting con EPM Add-in. * Conoscenza di BPC Optimized per Simple Finance, Strategic Planning, Liquidity Planning. * Familiarità con modellazione su BW on HANA, BW/4HANA o SAP HANA. **Preferred technical and professional experience** * Certificazioni SAP in ambito SAC, BPC, BW. * Conoscenza di SAP Datasphere e scenari di integrazione dati ibridi. * Esperienza in progetti di migrazione e cloud adoption. * Familiarità con concetti moderni di data architecture: data lake, data mesh, data fabric. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.