The SAP S/4 PLM/QM Functional Data Lead will guide data cleansing and harmonization, moving legacy systems to SAP S/4 HANA while collaborating with business and technical teams to ensure data integrity and support migration efforts.
This is a remote position.
Comerit is searching for an SAP S4 PLM/QM Functional Data Lead consultant.
Our current client is looking to increase their project team for their Release 2 data cleansing and data harmonization project. This will include moving from legacy systems to SAP S4 in the cloud.
If you are an SAP S4 Product Lifecycle Management and Quality Management Functional Data Lead please apply to this position.
Requirements
• Evaluates business processes, gathers requirements, uncovers areas for improvement, and develops data migration solutions.
• Identifies what data is available and relevant, including internal and external data sources, identifying data quality gaps.
• Works in iterative processes with the business and validates findings. Develops systematic approaches to validate findings or test hypotheses.
• Drives collaboration between business and technical developers to turn data into critical information that is reliable and can be used to migrate into SAP S/4 HANA environment.
• Leverages Systems, Applications, Processes (SAP) business configuration skill to provide support, coordination, and communication between ERP Data Team and business functional areas.
• Participates with project leaders on process definition, improvement, systems, metrics, performance, and best practices.
• Candidates must possess the technical capabilities to extract, retrieve and analyze data on their own. Be able to dive in and research new and complex data sources to understand how the data is moving in the system and how the data is stored to identify any anomalies that may exist.
• Assist with data cleansing, data mapping
• Performs data mapping exercises in tandem with the business SME and technical developers.
• Develop Functional Specification for Conversion (FSc)
• Assist and support business SMEs with Data Validation during test cycles.
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