Jobs · Information Technology · Pennsylvania

Data Lead

Natuvion · Malvern, PA · 4 mo ago
HybridInformation TechnologyFull-time

Key Responsibilities

  • Lead end-to-end data migration initiatives, including strategy, planning, design, execution, validation, and post-migration support.
  • Develop and manage migration plans using DCS, ensuring alignment with business and technical requirements.
  • Analyze SAP legacy systems and target platforms to determine mapping, transformation, and migration requirements.
  • Establish and enforce data migration standards, best practices, and quality assurance processes.
  • Manage data cleansing, profiling, and validation activities to ensure data integrity and accuracy.
  • Collaborate with SAP functional and technical teams to align migration activities with system requirements.
  • Oversee risk identification, impact analysis, and mitigation strategies for migration-related challenges.
  • Lead and mentor a team of data migration analysts and developers, providing technical guidance and oversight.
  • Prepare documentation, including migration plans, data mapping, test cases, and status reports.
  • Support SAP cutover activities, user acceptance testing (UAT), defect resolution, and ensure seamless transition to production.

Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, or related field (Master’s preferred).
  • 7+ years of experience in data migration, data integration, or database management.
  • Proven experience leading SAP data migration projects, including ECC to S/4HANA migrations.
  • Hands-on experience with migration tools (experience with DCS preferred or required).
  • Strong knowledge of ETL processes, data modeling, and SQL.
  • Familiarity with SAP modules (FI/CO, MM, SD, HR, etc.) and data structures.
  • Excellent problem-solving, analytical, and communication skills.
  • Strong leadership skills with the ability to manage and mentor teams.

Preferred Skills

  • Experience with migration to SAP S/4HANA and cloud-based applications.
  • Knowledge of agile project management methodologies.
  • Hands-on experience with data quality tools and master data management.

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