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# Workday Data Conversion Consultant

- **Company:** Capgemini
- **Location:** United States (Remote available)
- **Salary:** $78,853.0 - $123,198.0
- **Contract:** Temporary contract
- **Skills:** Microsoft Excel, Artificial Intelligence, Airflow, Data Analysis, Microsoft Azure, BigQuery, Data Validation, Data Cleansing, Data Conversion, Data Mapping, Data Migration, Data Security, Data Structures, Data Flow Control, Azure Data Lake, SQL Databases, Systems Integration, Workday HCM, Workday Studio, Cloud Migration, EIB, Workday, Legacy Systems
- **Published:** September 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=44093284f56319ae

## About the Role

* Experience with Workday HCM, Payroll, Finance, or Talent modules.
 * Strong knowledge of data migration and conversion methodologies.
 * Proficiency in Excel, SQL, data analysis, and data cleansing techniques.
 * Experience with EIB, Workday Studio, reports, and integrations.
 * Strong analytical, problem-solving, and stakeholder management skills.
 * Ability to manage multiple data loads and meet project deadlines.

Skills Required:

Must have:

 * GCP data platform architecture [BigQuery, Dataflow, Managed Apache Airflow (formerly Cloud Composer)]
 * secure data governance (NIST CSF, Assured Workloads, DLP/Encryption)
 * AI/ML integrations (Vertex AI, Agent Builder, BQ Conversational Analytics)

Good to have:

 * Cloud migration from Azure Data Lake

## Description

Azure migration strategies
Workday HCM
SQL
data validation
data cleansing
data mapping
AI/ML

A Workday Data Conversion Consultant is responsible for planning, extracting, cleansing, transforming, validating, and loading legacy HR, payroll, finance, or talent management data into the Workday platform during implementation or migration projects., * Analyze source system data and define data conversion requirements.

 * Extract, clean, transform, and map data from legacy systems to Workday data structures.
 * Prepare and load data using Workday Enterprise Interface Builder (EIB) and other Workday loading tools.
 * Conduct data validation, reconciliation, and quality assurance activities.
 * Collaborate with business stakeholders, functional consultants, and technical teams to resolve data issues.
 * Develop conversion strategies, mapping documents, and data load schedules.
 * Support testing cycles, mock conversions, cutover activities, and go-live readiness.
 * Ensure data accuracy, integrity, and compliance with organizational policies.