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Workday Data Migration Lead

TalentBurst

Kingston (RI)

Remote

USD 120,000 - 140,000

Full time

4 days ago
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Job summary

A tech consulting firm is seeking a Workday Data Migration Lead to oversee the data conversion for their Workday implementation. In this role, you will manage the migration of data from legacy systems, ensuring accuracy and integrity. Candidates should have extensive experience in data migration, preferably in higher education, and demonstrate expertise in various ETL tools. This is a remote position with a 12-month contract.

Qualifications

  • 7+ years' experience in data migration/conversion.
  • At least 3+ years leading Workday data conversion projects.
  • Demonstrated experience with data conversion for PeopleSoft and Workday.

Responsibilities

  • Lead the full data conversion lifecycle for Workday implementation.
  • Develop and manage detailed data migration plans.
  • Oversee extraction, transformation, and loading (ETL) of data.

Skills

Workday data conversion
ETL methodologies
Project management
Data governance
Leadership

Education

Bachelor's degree in Computer Science or related field
Master's preferred

Tools

Workday Enterprise Interface Builder (EIB)
Workday Studio
SQL
Informatica
Talend

Job description


Position: Workday Data Migration Lead
Location: Kingston, RI / 100% remote
Duration: 12 Months with long term renewable contract


Client seeks a Data Migration Lead to oversee the planning, execution, and leadership of the data conversion workstream for our Workday implementation. This role is responsible for the end-to-end migration of data from URI's legacy PeopleSoft HCM, Finance, and Payroll systems to Workday, ensuring accuracy, integrity, and quality throughout the process. The ideal candidate has led complex data migrations on Workday projects, demonstrates deep expertise with ETL tools and methodologies, and preferably has experience in a higher education environment.

Key Responsibilities
  • Lead the full data conversion lifecycle for ***'s Workday implementation, from requirements through post-go-live validation.
  • Develop and manage detailed data migration plans, schedules, and deliverables for ***.
  • Oversee extraction, transformation, and loading (ETL) of data from URI's PeopleSoft HCM, Finance, and Payroll modules to Workday.
  • Define data mapping, cleansing, validation, and reconciliation processes in collaboration with URI functional and technical leads.
  • Collaborate with *** business stakeholders, technical staff, and project consultants to resolve data-related issues.
  • Ensure compliance with ***'s data quality, security, and governance standards.
  • Manage assigned *** and consulting resources within the data migration workstream.
  • Coordinate and conduct data validation and parallel testing with URI business stakeholders.
  • Provide regular status updates, risk identification, and issue management for the data migration track to *** project leadership.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, or related field (Master's preferred).
  • 7+ years' experience in data migration/conversion, with at least 3+ years leading Workday data conversion projects.
  • Expertise in ETL methodologies and tools such as Workday Enterprise Interface Builder (EIB), Workday Studio, Talend, Informatica, SQL, Alteryx, or similar.
  • Demonstrated experience with data conversion for PeopleSoft and Workday (HCM, Finance, Payroll).
  • Prior experience managing data migration teams on enterprise-scale projects, ideally in higher education.
  • Strong understanding of data architecture, governance, validation, and reconciliation.
  • Proven leadership, project management, and communication skills.
  • Ability to work both independently and as part of ***'s cross-functional teams.
Preferred Qualifications
  • Experience working with data and business processes in higher education, preferably at a public research university.
  • Workday and/or PeopleSoft certification(s).
  • Experience with cloud-based data migration and secure data handling.
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