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You will lead the Data strategy execution for Customer domain, including the design of logical and physical data models, improving the data quality across the landscape, support of business transformation in data migration, design and implementation of MDM tooling and processes.
Your role:
You will be responsible for gathering business and compliance requirements for information, and document the requirements in information models, ensuring end-to-end data model consistency across processes and IT applications,
You will design and maintenance both logical and physical data models for Customer,
You will design and implement of data quality and compliance controls for the Finance domain. You will ensure data quality,
You will validate of the data model design with BPO/BPE and compliance officers,
You will ensure the correct implementation of the data model in close alignment with IT SME’s. You will manage the change process related to data models,
You will actively support the business transformation in data (migration) preparation and execution,
You will be part of the Supply Chain IT Platform and you will contribute to the Philips IT ambition to lead Philips into the future. Within the Supply Chain IT Platform team, you will work closely together with our business stakeholders and relevant IT colleagues supporting the Supply Chain IT domain.
You're the right fit if:
You have 8+ years of related experience in data management, data modeling and related areas with key focus on Finance and Controlling domain. Basic accounting knowledge would be a plus,
You are hands on SAP (R3/S4 HANA) (specifically SD) experience, e.g., Target source/mapping, data migration, data cleansing etc. for his/her data domain,
You are experienced in execution of SD functionality in SAP and translating business process into data requirements,
You have strong pricing knowledge,
You have good structure and communication skills: with multiple teams across the organization; Your stakeholder management skills are excellent,
You have good analytical skills and experience in data profiling and analysis: Attention to details and determination to get things done in time and in quality,
You have master’s degree in the areas of information management, data management, analytics, computer science, information technology or similar,
Fluent in English.
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