SAP Data Lead

POSITION OVERVIEW :
Experienced SAP Data Migration Lead to drive data migration for a large scale SAP deployment. Deep understanding of SAP systems, extensive experience in data migration processes, and strong leadership skills are necessary.
Key Responsibilities:
Lead Data Migration Efforts: Oversee all aspects of data migration activities, including planning, execution, and monitoring, ensuring alignment with project objectives and timelines.
Data Strategy Development: Design and implement data migration strategies, including data extraction, transformation, and loading (ETL) methodologies. Stakeholder Collaboration: Work closely with business leaders, IT teams, and external partners to gather requirements and ensure data readiness for migration.
Data Quality Assurance: Conduct data assessments and cleansing activities to ensure data accuracy and integrity throughout the migration process.
Testing and Validation: Manage the testing phases, including user acceptance testing (UAT), to validate data post-migration and address any discrepancies.
Documentation: Create and maintain comprehensive documentation for data migration processes, including data mapping, transformation rules, and migration plans.
Training and Mentorship: Provide guidance and support to team members and stakeholders, facilitating training sessions on data migration best practices.

Qualific

POSITION OVERVIEW :
Experienced SAP Data Migration Lead to drive data migration for a large scale SAP deployment. Deep understanding of SAP systems, extensive experience in data migration processes, and strong leadership skills are necessary.

Key Responsibilities:
Lead Data Migration Efforts: Oversee all aspects of data migration activities, including planning, execution, and monitoring, ensuring alignment with project objectives and timelines.
Data Strategy Development: Design and implement data migration strategies, including data extraction, transformation, and loading (ETL) methodologies. Stakeholder Collaboration: Work closely with business leaders, IT teams, and external partners to gather requirements and ensure data readiness for migration.
Data Quality Assurance: Conduct data assessments and cleansing activities to ensure data accuracy and integrity throughout the migration process.
Testing and Validation: Manage the testing phases, including user acceptance testing (UAT), to validate data post-migration and address any discrepancies.
Documentation: Create and maintain comprehensive documentation for data migration processes, including data mapping, transformation rules, and migration plans.
Training and Mentorship: Provide guidance and support to team members and stakeholders, facilitating training sessions on data migration best practices.
Qualifications:
- Bachelor s degree in Information Technology, Computer Science, Business Administration, or a related field.
- 5+ years of experience in data migration, specifically within SAP ECC environments. - Strong understanding of data modeling, data governance, and data quality management principles.
- Proven experience leading data migration projects and managing cross-functional teams.
- Proficiency in project management methodologies (Agile, Waterfall) and tools (e.g., Jira, MS Project).
- Excellent analytical and problem-solving skills, with attention to detail.
- Strong communication and interpersonal skills, with the ability to engage both technical and non-technical stakeholders ations:
- Bachelor s degree in Information Technology, Computer Science, Business Administration, or a related field.
- 5+ years of experience in data migration, specifically within SAP ECC environments. - Strong understanding of data modeling, data governance, and data quality management principles.
- Proven experience leading data migration projects and managing cross-functional teams.
- Proficiency in project management methodologies (Agile, Waterfall) and tools (e.g., Jira, MS Project).
- Excellent analytical and problem-solving skills, with attention to detail.
- Strong communication and interpersonal skills, with the ability to engage both technical and non-technical stakeholders.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.