Work closely with the client’s project team to design, develop, and deploy a customer’s various technical requirements
Migration of data from existing customer systems to Workday
Knowledge of core design principles, common data modeling and patterns
Project implementation methodology
Successful track record of delivering
Shape Workday’s next generation of services in an AI/Platform/Data Cloud landscape
Comfortable working with modern data tools and patterns (for example, Workday Build, Snowflake, and Apache Iceberg)

2+ years of experience with data migration, integration development, report building, or software development
2+ years of experience with technical consulting, requirements gathering, or solution design
2+ years of Human Resource, Payroll, Financials, Supply Chain, or Student domain experience
AI Fluency: Familiarity with AI concepts, including LLM integration and agentic workflow design
Proficient skills with ETL, SQL/MySQL, XML, Microsoft Excel, stored procedures or other data tooling
Experience working with customers and/or team members and leading data requirements sessions
Participation in a minimum of 1 full life cycle software implementation
Understanding of the complete software implementation lifecycle
including data requirements gathering, dataset migration, data reconciliation, and move to production
2+ years of experience coordinating and collaborating with cross organizational partners to define requirements and resolve data issues
2+ years of experience mapping, transforming, and loading data from source to target software systems.
Experience leading a Data Conversion work stream on a software implementation
Preferable
Experience using GitHub
Preferable
Experience with Python and/or Ruby
Preferable
Prior experience with Workday data conversion technologies such as iLoad, EIB, Advanced Load
Experience with AI products and platforms

Technical Consultant – Data Conversion

Key skills