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.