Taguig
5 days ago
Solutions Architect (Workday Data Conversion Lead)

Responsibilities:

Facilitate and lead client discussions on deployment projects (Phase 1/X) around requirements, conversion, and validation methodology of data to and from Workday Lead and guide data conversion activities during deployment of Workday modules (e.g. converting benefits or payroll data from legacy systems into Workday) Partner with customer teams to resolve data conversion related issues, ensuring data integrity, and/or achieving greater process efficiencies Facilitate data-related problem solving between third party vendors, customer resources, and subject matter experts/process owners Research data conversion and/or reporting issues, identify root cause, and implement corrective measures Facilitate data conversion testing and validation activities with internal and external stakeholders Work with internal product teams to leverage internal capabilities and accelerators for our customers Will require attending early morning or late evening meetings to meet with customer team leads and other team members who may be in different time zones

 

Requirements:

Minimum 3 years of hands-on Workday experience in data conversion roles across implementation/deployments (not just production support) Ideally Workday certified (pro certifications count!) in HCM and Data Conversion/Loading. As a full certified partner, UST can maintain your certification Knowledge of ETL process and experience around data conversion and migration strategies from and to systems like Oracle, Peoplesoft, AS400, and SAP Good understanding of Workday build and setup data Experience in mapping data requirements and translating to Workday structures/workbooks Advanced MS Excel expertise along with experience in other software tools such as Notepad++, Oxygen XML, or ASAP Utilities Experience with data warehousing, data architecture, and data audits Experience with Workday data loading using iLoads, XML, Web Services, and EIBs Proficient in creating custom reports for data validation and related needs Experience managing and working with global teams on large scale deployments A strong focus on customer satisfaction while effectively managing client expectations Clear and concise communication skills
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