Workday Data Conversion Lead

Lead or support HCM data conversion activities including worker profiles, job and position data, compensation structures, benefits elections, and organizational hierarchies.

Lead or support Payroll data conversion activities including payroll balance loads (YTD/QTD), tax withholding elections, earnings and deductions history, and direct deposit setup.

Coordinate with HCM and Payroll functional consultants to validate converted data against expected outputs and downstream system requirements.

Produce and maintain conversion governance documentation including sign-off packages, issues logs, and lessons learned artifacts.

Communicate conversion status, risks, and escalations clearly to project leadership and client stakeholders throughout each project phase.

Minimum 3 years of experience as a Data Conversion Lead on Workday implementation projects.

401(k) plan with company match.

Company-paid individual health, dental, vision, disability, and life insurance coverage.

Four weeks of paid time off plus eight company-paid holidays.

Employee referral bonuses.

Career mobility in a high-growth, AI-enabled company where you will have direct impact and visibility.

An award-winning culture that combines 40 years of stability with the momentum of a bold new chapter.

Conversion Strategy & Leadership

Serve as Data Conversion Lead on Workday implementation projects, owning the full conversion lifecycle from strategy and planning through go-live cutover.

Develop and maintain comprehensive data conversion project plans, workbooks, and mapping documents that align legacy source data to Workday data structures across all in-scope modules.

Define data extraction, transformation, and load sequencing strategies in collaboration with client SMEs, functional consultants, and technical architects.

Lead iterative conversion testing cycles (Foundation, Configuration, End to End, Parallel, and Gold/Cutover loads), tracking defect logs and driving issues to resolution between cycles.

Support cutover planning by defining data freeze windows, load dependencies, and go-live readiness criteria in coordination with the project manager and client stakeholders.