Consulting Senior Managing SAP Data Lead Professional No

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio

A SAP Data Migration Lead plays a critical role in the successful implementation of SAP projects by overseeing the data migration process. Here are the primary roles and responsibilities of an SAP Data Migration Lead:

• Project Planning and Management:
  • Develop and execute the data migration strategy and plan.
  • Define the scope, objectives, and deliverables of data migration activities.
  • Coordinate with project managers to integrate data migration tasks with overall project timelines.
  • Identify and manage risks related to data migration.
• Data Assessment and Preparation:
  • Assess the quality and readiness of legacy data for migration.
  • Define data cleansing, enrichment, and validation rules.
  • Coordinate data extraction, transformation, and loading (ETL) processes.
  • Ensure data mapping from legacy systems to SAP.
• Stakeholder
  
  Collaboration:
  
  
  • Work closely with business stakeholders to understand data requirements and validation criteria.
  • Coordinate with technical teams, including SAP consultants and developers, to implement migration tools and processes.
  • Communicate data migration progress, issues, and resolutions to stakeholders.
• Technical Execution:
  • Oversee the design, development, and execution of data migration programs and scripts.
  • Ensure data integrity, accuracy, and consistency during the migration process.
  • Monitor and troubleshoot data migration activities to resolve issues promptly.
• Testing and Validation:
  • Define and execute data migration test plans, including unit tests, integration tests, and user acceptance tests (UAT).
  • Validate migrated data to ensure it meets business and regulatory requirements.
  • Coordinate with business users to verify data accuracy and completeness post‑migration.
• Documentation and Reporting:
  • Create and maintain comprehensive documentation of data migration processes, including data mapping, transformation rules, and validation criteria.
  • Generate regular status reports on data migration activities, progress, and issues.
  • Document lessons learned and best practices for future data migration projects.
• Training and Support:
  • Provide training and support to business users on data migration processes and tools.
  • Assist in the development of user manuals and training materials.
  • Offer post‑migration support to address any data‑related issues.
• Compliance and Security:
  • Ensure data migration activities comply with regulatory requirements and organizational policies.
  • Implement data security measures to protect sensitive information during migration.
  • Maintain confidentiality and integrity of data throughout the migration process.
• Identify opportunities for improving data migration processes and methodologies.
• Stay updated with the latest SAP data migration tools and technologies.
• Implement best practices and industry standards in data migration projects.
• Leadership and Mentorship:
  • Lead and mentor a team of data migration specialists and analysts.
  • Foster a collaborative and efficient working environment.
  • Provide guidance and support to team members to ensure project success.

This job can be performed from anywhere in the US.

Bachelor's Degree

Bachelor's Degree

• Hands‑on experience Identifying, assessing and solving complex business problems for area of responsibility, where analysis of situations or data requires an in‑depth evaluation of variable factors.
• Experience collaborating data with owners and users/analysts across the customer operations to modify or implement new repeatable and reliable businesses processes to improve and sustain effective data governance resulting in improved quality and consistency of data used to drive key business decisions.
• Experience…