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SAP HR Data Migration Lead - Remote With Travel

The Dignify Solutions, LLC

Harrisburg (Dauphin County)

Remote

USD 90,000 - 120,000

Full time

Yesterday
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Job summary

A prominent company in Harrisburg is seeking a Data Migration Lead to spearhead data migration projects and establish governance policies. The role involves collaborating with cross-functional teams, mentoring data analysts, and ensuring data integrity across systems. This position provides an exciting opportunity to lead impactful projects while optimizing data utilization within the organization.

Qualifications

  • Experience in leading data migration and implementation projects.
  • Strong understanding of data governance and integrity policies.
  • Proven ability to lead and mentor a team of analysts.

Responsibilities

  • Lead data migration and implementation projects for Employee Central and S/4 system.
  • Develop and maintain data governance policies to ensure data integrity.
  • Provide training and support to end users on data entry and reporting.

Skills

Data governance
Data quality standards
Data migration
Team leadership
Collaboration

Job description

  • Lead the data migration and implementation projects for Employee Central and S/4 system
  • Develop and maintain data governance policies and procedures to ensure data integrity and compliance with relevant regulations
  • Establish and maintain data quality standards and processes, including data cleansing and enrichment
  • Collaborate with cross-functional teams to ensure data accuracy and consistency across different systems and platforms
  • Design and implement data validation and testing protocols to ensure the accuracy and reliability of data
  • Provide training and support to end users on data entry, maintenance, and reporting within the systems
  • Lead and mentor a team of data analysts and specialists, providing guidance and support in their daily activities
  • Communicate regularly with stakeholders to understand their data needs and requirements, and provide insights and recommendations for data utilization and optimization.
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