Senior Architect for Data Management and Landscape Transformation
hace 2 semanas
Job Summary
SAP is seeking a highly experienced Senior Architect to join our global Data Management and Landscape Transformation team. As a key member of our team, you will play a critical role in accompanying our international customers on their journey to SAP's Cloud ERP, targeting clean core and clean data.
Key Responsibilities
- Advise and execute transformation projects into and within SAP's Intelligent Enterprise based on SAP ILM standard software and DMLT consulting solutions.
- Develop and implement retention management strategies to ensure data compliance and security.
- Standardize DMLT service offerings by creating structure and assets for service execution.
- Enable project team members or consulting teams to deliver high-quality services.
- Collaborate with colleagues across different organizational units, hierarchy levels, and locations around the world.
Requirements
- A minimum of 6 years of experience in delivering technology consulting in customer projects.
- Very strong experience in SAP Information Lifecycle Management (SAP ILM) and related use cases such as System Decommissioning, Retention Management, or Data Protection & Privacy.
- Knowledge of related DMLT automation solutions is a strong asset.
- Good programming knowledge and experience in ABAP.
- Programming skills in Python or JAVA is a strong asset.
- Good skills in structuring and documenting information, methodologies, and procedures.
- Proven track in knowledge sharing, as well as coaching, mentoring, and educating other people.
- Excellent communication, presentation, and facilitation skills in English.
About SAP
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management.
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