Lead the development and enhancement of SAP and SAP S/4HANA FICO applications in alignment with DKSH's architectural standards and delivery methodologies.
Support the delivery of IT projects using Waterfall, Agile/Scrum, or hybrid project methodologies, ensuring structured and consistent project execution in line with DKSH Group IT Project Methodology.
Act as the main point of contact for the function's data and reporting needs, from ad hoc and monthly requests to the always-on, self-serve portfolio dashboard that serves leadership and Product Owners alike.
Act as the main point of contact for the function's data and reporting needs, from ad hoc and monthly requests to the always-on, self-serve portfolio dashboard that serves leadership and Product Owners alike.
Plan and assist in the development of merchandising and promotion campaigns for the online channel, managing promotional mechanisms including bundle set creation and discount promotions with e-commerce players
Support business performance by maintaining a comprehensive understanding of daily and monthly sales results, contributing to the achievement of maximum business outcomes
Drive end-to-end business analysis across data management, Microsoft Azure-based data services, analytics, Power BI and Gen AI initiatives, translating business needs into clear and actionable requirements that enable successful delivery.
Lead and oversee the daily operations and service delivery of a BPO team responsible for the creation, update, and resolution of Materials Master Data (MMD) requests and enquiries across Business Units Consumer Goods (CG) and Healthcare (HEC), with accountability for expanding coverage to Business Units Performance Materials (PM) and Technology (TEC) as transitions occur.
Oversee the daily operations of supported enterprise applications including Advertising and Promotions (A&P), Accounts Payable (AP), Supplier Relationship Management (SRM), Source to Contract (S2C), Enterprise Content Management (ECM), and Retail Execution (RE), ensuring systems perform reliably and consistently meet business expectations.
Design, develop, and implement end-to-end data pipelines and data integration processes — both batch and real-time — covering data analysis, profiling, cleansing, lineage, mapping, transformation, and the full deployment of Extract, Transform, Load / Extract, Load, Transform (ETL/ELT) solutions.