Data Migration Specialist

Data Migration Specialist 

Location:

London

Contract Type:

Contractor

Sector:

Enterprise & Cloud

Salary:

£750.00 - £800.00 Daily

Reference No.

BBBH483187

Data Cutover and Implementation SME in London

Hi,

This is Abdul from ConSol Partners.
I'm excited to share that one of our clients in London is hiring for a Data Cutover and Implementation SME. Below are the job details. If you're interested, please send your CV to apply.

Title: Data Cutover and Implementation SME
Location: London
Duration: 6 months contract (extension possible)
Job Type: Hybrid (2-3 days per week onsite)

The Data Cutover and Implementation SME will be responsible for all business and technical aspects of the Cutover and Implementation planning and execution – involving activities within Data Transfer and Data Transfer

Reporting to the Paris Data Transfer Lead, this person will coordinate the activities of various teams and facilitate meetings across business departments/functions to develop an integrated cutover and implementation work plan for the Paris Data Transfer Programme

Responsibilities:
  • Cutover planning
  • Stakeholder Coordination
  • Risk Management
  • Testing and validation
  • Implementation
  • Post-Go-Live Support

Required:
  • Experience in:
  • Cutover and Implementation within Data Migration/Data Transfer Programmes
  • Rule writing and testing
  • Technical proficiency
  • Risk management
  • Working with Large and Small Data
  • Proven experience in managing data transfer projects, particularly the cutover and implementation stages.
  • Strong project management skills, with the ability to manage multiple tasks and stakeholders.
  • Deep understanding of data transfer processes and technologies.
  • Excellent problem-solving skills, with the ability to identify and resolve issues quickly and effectively.
  • Strong communication skills, with the ability to communicate effectively with both technical and business stakeholders
  • Using multiple technologies to achieve outcomes
  • Principles of Data Governance and Data Quality
  • Data Remediation

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