Teams at Mondelēz International

Develop and maintain statistical and ML forecasting models for SKU-level demand using Python/PySpark and Databricks; analyze model performance (MAPE/bias), post-process outputs, collaborate with demand planners for explainability, produce dashboards and KPIs, and drive continuous improvement in forecasting and data models.

Provide day-to-day support and administration for INFOR Time & Attendance: user support, access management, configuration, integrations with HRIS/payroll, reporting, testing, training, data migration, and project coordination to ensure accurate time capture, payroll readiness, compliance, and successful system implementations.

Coordinate and execute regional capability-building programs for Manufacturing & Supply Chain across AMEA. Manage logistics, learning platforms (Workday Learning, SharePoint), training calendars, audits (SMETA), KPI tracking, vendor/PO administration, reporting (Excel/Power BI), and stakeholder engagement. Support digital learning deployment and drive continuous improvement toward strategic capability objectives.