SAP Data Migration Specialist

Full Job Description

Role - SAP Data Migration Specialist

Location: Raleigh, NC - Remote, will have to go on-site once in a month. Client will cover the expenses

Duration: 6+ months

Rate: $Market+expenses

Job Description:

1. Experience: Possess a minimum of 10 years of experience leading SAP material master and data migrations, preferably within the Lifesciences/Pharma industry.

2. End-to-End Data Migration Projects: Demonstrated experience leading end-to-end SAP data migration projects, including greenfield, brownfield, or System Data Transition (SDT) migrations, with a comprehensive understanding of SAP modules and associated data migration tools.

3. Data Accuracy and Integrity: Ensure the accuracy, completeness, and integrity of data transferred from legacy systems to SAP platforms during migration projects.

4. ETL Tools Proficiency: Proficient in SAP Data Services, Legacy System Migration Workbench (LSMW), Legacy Transfer Migration Cockpit (LTMC), and other third-party Extract, Transform, Load (ETL) tools for data mapping, transformation, and validation.

5. Project Management Skills: Strong project management skills, including planning, execution, and risk management, with experience using tools such as MS Project to manage data migration projects effectively.

6. Communication and Collaboration: Excellent communication and collaboration skills, with the ability to work effectively with diverse teams and stakeholders involved in data migration projects.

7. Data Quality Assurance: Experience in data quality assurance and governance practices to ensure data accuracy, consistency, and compliance with organizational standards.

8. Data Protection and Privacy: Familiarity with relevant data protection and privacy regulations, with experience in data masking and data scrambling techniques during data migration to ensure compliance.

9. Certifications: Possess certifications in SAP modules or data migration tools to demonstrate expertise and proficiency in data migration processes.

10. Strategy and Architecture: Define data migration strategy, architecture, and conversion test cycles to guide the migration process and ensure successful outcomes.

11. Cross-functional Collaboration: Collaborate with cross-functional teams, including data analysts, developers, business analysts, and key stakeholders, to gather requirements and align data migration activities with business objectives.

12. Project Planning and Execution: Develop and maintain project plans, timelines, and resource allocations to ensure the successful delivery of data migration projects within specified timeframes and budget constraints.

13. Risk Identification and Mitigation: Proactively identify and mitigate risks associated with data migration, maintaining data quality standards and governance throughout the migration process.

14. Stakeholder Communication: Communicate effectively with non-technical stakeholders, providing regular updates on project progress, addressing concerns, and responding to queries related to data migration activities.

15. Continuous Improvement: Implement best practices and continuous improvement initiatives to optimize data migration processes, enhance efficiency, and deliver high-quality outcomes.

16. Compliance: Ensure compliance with data protection and privacy regulations relevant to the organization, adhering to industry standards and guidelines during data migration activities.