Define Data strategies, Data plan to perform data management activities (extract, cleanse, transform and load process) from legacy sources systems (Non-SAP or SAP) to Target systems (SAP, S/4 HANA, ARIBA, Workforce Time and Attendance, SuccessFactors).Led data definitions, development, data quality improvements, data model, troubleshoot issues and collaborating with cross functional teams comprised of client groups, project teams and IT organizations.
Leading team members in successful design and delivery of Data Management solutions with an emphasis on quality, consistency. Architect MDM solution and hands-on experience to identify, analysis of data issues with in-depth, evaluation of identify root cause and propose alternate options to solve complex business problems,
Leading technical aspects of the delivery of Data or SAP EIM (Enterprise Information Management) solution components, working across business technology teams to ensure alignment between business solution definition systems architecture for the organization.
Collaborate with extended team members to resolve data issues
Manage project specific data activities and proactively address them to meet project timelines and schedule.
Required Technical and Professional Expertise:
2 or more full project life cycle implementation of end-to-end data management solutions (ECTL- Extract, Cleanse, Transform and Load) to integrate legacy systems (SAP and Non-SAP) with one or more Target systems (SAP, S/4 HANA, ARIBA, Workforce Time and Attendance, SuccessFactors).
5 to 10 Years of experience with at least one or more SAP Data Management tools (Data Services, Information Steward, SAP MDG) or other leading Data Management ETL Solutions (SQL SSIS, IBM Infosphere, e-Hub, Informatica, Suniti ADM, SNP etc.,)
Experience working with Master Data objects and deep understanding of the integration with S4 HANA (RTR, OTC, STP, PTP, eWM etc., ), HRIS systems SuccessFactors HCM, Workforce functions are required.
Experience with standard SAP loading methods like LSMW, LTMC, Migration cockpit, Emigall.
Strong consulting skills paired with strong technical skills to convey the value of an Master Data Management/Governance solution to the client and present pros and cons, challenges and propose recommendations etc.
Strong understanding and hands-on experience with data quality, data profiling and metadata management, data structure classifications and workflow and processes Strong configuration skills of Master Data Management/Governance solution solutions with Global or complex project experience
Strong experience with Implementation methodologies – experience in the Agile / Activate methodology. Experience in leading teams in the delivery of data migration in a challenging project environment Strong leadership skill and the ability to multi-task within a dynamic workplace
Thorough experience and knowledge of consulting practices and techniques
Preferred Technical And Professional Expertise:
over 10 Years of experience with at least one or more SAP Data Management tools (Data Services, Information Steward, SAP MDG) or other leading Data Management ETL Solutions (SQL SSIS, IBM InfoSphere, e-Hub, Informatica, Syniti ADM, SNP etc.,)