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SAP Data Migration Lead

Job in Maidenhead, Berkshire, SL6, England, UK
Listing for: Data Controller, VE Ltd
Full Time position
Listed on 2026-09-13
Job specializations:
  • IT/Tech
    SAP Consultant, Data Engineering, IT Project Manager
Salary/Wage Range or Industry Benchmark: 90000 - 120000 GBP Yearly GBP 90000.00 120000.00 YEAR
Job Description & How to Apply Below

Maidenhead, United Kingdom | Posted on 10/09/2026

VE3 is a technology and business consultancy focused on delivering end-to-end technology solutions and products. We have successfully serviced enterprises across multiple markets, including the publicand private sectors. Our services span all aspects of business, providing aholistic approach to managing an organization. We are committed to providing technical innovations and tools that empower organizations with critical information to facilitate decision-making that results in business transformation through cost savings and increased operational efficiency.

Our commitment to quality is adopted throughout the organization and sets the foundation for delivering our full suite of capabilities.

Job Description

Job title
:

SAP Data Migration Lead

Position Type
:
Full-time

Experience Level
: 10+ Years

Role Overview:

We are seeking an experienced SAP Data Migration Lead to lead the data migration workstream for a large-scale SAP Success Factors transformation programme. The successful candidate will be responsible for defining the migration strategy, managing end-to-end migration activities, ensuring data quality, and delivering successful migration from legacy HR and payroll systems into SAP Success Factors and SAP S/4

HANA.

The role requires strong leadership, stakeholder management, and extensive experience in SAP data migration methodologies, reconciliation, testing, and cutover planning.

Requirements

Key Responsibilities:

  • Lead the end-to-end SAP Data Migration workstream.
  • Facilitate workshops on Data migration requirements and align with client data requirements.
  • Define and implement the Data Migration Strategy, Data Quality Strategy, and Migration Approach.
  • Analyse legacy HR and Payroll data and map it to SAP Success Factors target objects.
  • Define migration objects, transformation rules, validation criteria, and reconciliation processes.
  • Manage data profiling, cleansing, enrichment, validation, and reconciliation activities.
  • Coordinate business users for data collection, validation, and sign-off. Coordinate with integration teams to validate migrated data across downstream and upstream systems.
  • Plan and execute mock migrations, dress rehearsals, production migration, and cutover.
  • Maintain migration governance, data load ownership, approval processes, audit trails and sign-off processes.
  • Support SIT, UAT, Payroll Parallel Runs, cutover planning, Go-Live, and Hypercare.
  • Support and align with SAP Success Factors releases and update with needed migration tools and deliver data migration.
  • Produce migration documentation, runbooks, post load reconciliation reports, and knowledge transfer materials.
  • Work closely with Functional Consultants, Integration Teams, Technical Teams, and Business SMEs
Required Skills & Experience

10+ years of SAP Data Migration experience.

Strong experience with:

  • SAP Migration Cockpit
  • SAP Data Services (BODS)
  • SAP LSMW
  • SQL
  • ETL tools
Experience migrating HR, Payroll, Organisation Management, Foundation Objects, Employee Master Data, and historical data.

Strong knowledge of Data Governance, Data Quality, and Cutover Planning.

Experience in Data validation and reconciliation techniques, Audit and Compliance controls. Familiar with GDPR and Data privacy regulations

Excellent stakeholder management and communication skills.

Preferred Experience:

Previous experience delivering SAP Success Factors migration or implementation programmes is highly preferred.

Experience with SAP Employee Central, Employee Central Payroll, and SAP S/4

HANA migration projects.

Experience working in Agile and SAP Activate delivery environments.

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