Senior Team Lead of Financial and Organizational Master Data team, responsible forGeographical and Cost Object Master Data (Profit & Cost Centres, hierarchies)processes and its Data Quality Management (DQM).Responsibilities:- managing team of 12 operational & DQM specialists and business analysts located inWarsaw (9 FTEs) and Manila (3 FTEs) offices,- driving operational and DQM initiatives & projects, process analysis, process wastereduction, improvements and automations,- supporting various project teams with operational and technical knowledge,- supporting development of portals and automated workflows for processes,- maintaining relations with stakeholders, customers, downstream systems,- recruitment and support of specialists career development,- budget planning & forecasting.Accomplishments:- process & data migration from SAP ERP to SAP MDG for Cost Object Master Data

Team Lead of Financial and Organizational Master Data team, responsible forGeographical and Cost Object Master Data (Profit & Cost Centres, hierarchies)processes and its Data Quality Management (DQM).Accomplishments:- process centralization of Cost Object Master Data (Profit & Cost Center maintenancein SAP ERP),- Geographical Master Data process & data migration from Excel Database to SAPCloud for Real Estate,- implementations of small process automations & optimizations resulting in overthousand hours saved yearly.

Responsibilities:- facilitating onboarding of new team members,- a pivotal role in the sub-process of hierarchy maintenance within a customised SAPtool, used for Invoice approval workflows- onboarding on team’s scope of activities and takeover of managerial responsibilities

Responsibilities:- managing user domain accounts within Active Directory, ensuring seamlessmaintenance and accessibility,- providing timely and effective first-line support,- working in line with Data Dictionary, Process Standards, Working Instructions, andSLAs to maintain operational excellence- preparing and executing of mass upload files,- working with Power BI and Excel to conduct in-depth Data Quality analysis,investigating root causes and applying fixes,