Sap Analytics Cloud Planning Operations Specialist
4 settimane fa
The Manager SAC Planning Operations is responsible for ensuring the operational readiness of the SAP SAC planning system to support key FP&A processes such as Target, Outlook, and long-term Strategic planning.
Close collaboration with Finance teams at all levels of the business is required, as well as a good understanding of enterprise planning processes and a focus on identifying improvements that drive efficiency and enhance the planning process.
Main Responsibilities:
Responsible for end-to-end readiness of the SAC planning system to support key FP&A processes, including periodic forecasts, annual budget, strategic planning, and monthly reporting.
The planning applications include P&L / NWC, Cost Center, FTE, and Capex planning.
Ensures process excellence, strengthens governance, and sets up the SAC planning system to enable high-quality submissions.
Drives the implementation of best practices, documentation, and robust internal controls, including automated controls, validations, reconciliations, and back testing to ensure data accuracy, integrity, and consistency.
Ensures data consistency across models, integrity, completeness, and correctness of data sets (master and transactional data).
Responsible for data model preparation, including business logics, consolidation, data action-based calculation routines for KPIs.
Responsible for UI/UX, including building, maintaining, and optimizing SAC stories (reports / input forms) driving productivity and simplification.
Ensures the system preparation schedules are aligned with planning processes schedules and requirements and that key deliverables are met.
Challenges the status quo and drives continuous improvement through standardization, harmonization, and automation.
Identifies new process requirements, translates them into technical specifications, issues change requests, and oversees implementation.
Supports release management and testing.
Supports the adoption of new technologies such as SAC Predictive Analytics (AI/ML), Smart Insights, NLP, Value Driver Trees.
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