Remote Global ERP Data Migration Lead (Cross-Functional)

Randstad Argentina

Municipio de Rincón de los Sauces

Remote

ARS 2,000,000 - 3,200,000

Full time

4 days ago
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Benefits offered by this job

Connectivity allowance
Gym reimbursement
PedidosYa credit
Statutory vacation
Health insurance Swiss Medical OSDE

Job summary

1801 Haleon Argentina S.A. is seeking a Data Migration Lead to oversee end-to-end data migration efforts for a major ERP migration program.

You will coordinate cross-functional teams, define migration approach, controls, and manage risks in a 100% remote role working in UTC time. The ideal candidate has proven leadership in large-scale data migrations, strong methodology knowledge, and proficiency in English.

Qualifications

  • Data migration lead/team lead for large-scale enterprise programs.
  • Expertise in extraction, transformation, cleansing, validation, loading.
  • Experience coordinating cross-functional teams and managing risks.
  • Familiarity with S/4HANA or similar ERP migration projects.

Responsibilities

  • Lead the end-to-end planning and execution of data migration activities.
  • Ensure data is accurate, complete, and ready for use in the target system.
  • Coordinate cross-functional migration teams across workstreams.
  • Define the data migration approach, methodology and quality controls.
  • Identify, assess and manage migration risks and issues.
  • Ensure a smooth and reliable transition with minimal disruption.
  • Report migration status and progress to senior stakeholders.

Skills

Data Migration Lead
Migration Methodology
Cross-functional Teams
Migration Controls & Risk
S/4HANA ERP Migration
English Proficiency
UTC Time Zone

Job description

1801 Haleon Argentina S.A. is seeking a Data Migration Lead to oversee end-to-end data migration efforts for a major ERP migration program.

You will coordinate cross-functional teams, define migration approach, controls, and manage risks in a 100% remote role working in UTC time. The ideal candidate has proven leadership in large-scale data migrations, strong methodology knowledge, and proficiency in English.

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