Workday Testing Project Manager

MACHINE LEARNING TECHNOLOGIES LLC; Houston (TX); On-site; USD 96,000 - 152,000; Full time

Job summary

WORKDAY TESTING PROJECT MANAGER at MACHINE LEARNING TECHNOLOGIES LLC in Houston, TX, for a 15-month engagement. Responsibilities include defining and governing E2E test strategy for Workday modules, planning multiple workstreams, and overseeing SIT/UAT and data migration testing.

Emphasis on Workday integrations (EIB, Studio, Core Connectors) and defect governance. You will coordinate testing across Functional, Integration, Security, and Data Migration areas, liaising with HRIT and vendors, and

Qualifications

• Bachelor’s degree in computer science, information systems, or a related field.
• Over 10+ years of Workday testing (functional and integration), preferably with Workday
• Familiarity with Workday Studio, EIB, Core Connectors, and API testing.
• Hands-on experience with automation frameworks and regression testing.

Responsibilities

• Define & manage overall E2E test strategy covering Functional, Integration, Security, and Data Migration testing.
• Develop detailed test plans, timelines, and resource allocation for multiple workstreams.
• Establish governance for defect management, risk identification, and mitigation.
• Oversee creation of test scenarios and scripts for Workday modules/functional areas (HCM, Payroll, Compensation, Talent, Security, Workforce Planning, and Integrations).
• Coordinate execution of Unit Testing, System Integration Testing (SIT), User Acceptance Testing (UAT), and Regression Testing.
• Manage testing of Workday integrations (EIB, Studio, Core Connectors, APIs) and downstream systems.
• Validate data migration accuracy and reconciliation across environments.
• Liaise with business teams, HRIT, implementation partners, and vendors to ensure alignment.
• Provide regular status updates, dashboards, and readiness metrics to leadership.
• Prepare test summary reports with coverage, defect trends, and go-live readiness.

Skills

Workday testing

E2E testing

Automation testing

Regression testing

Stakeholder communication

Education

Bachelor’s degree in computer science, information systems, or a related field

Tools

Workday Studio

EIB

Core Connectors

APIs

Job description

Job Overview

• Job ID: J52146
• Job Title: Workday Testing Project Manager
• Location: Houston, TX
• Duration: 15 Months + Extension
• Hourly Rate: Depending on Experience (DOE)
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Requirements

• Bachelor’s degree in computer science, information systems, or a related field.
• Proven experience in managing E2E testing for large Workday implementations.
• Over 10+ years of Workday testing (functional and integration), preferably with Workday
• Familiarity with Workday Studio, EIB, Core Connectors, and API testing.
• Hands-on experience with automation frameworks and regression testing.

Responsibilities

• Define & manage overall E2E test strategy covering Functional, Integration, Security, and Data Migration testing.
• Develop detailed test plans, timelines, and resource allocation for multiple workstreams.
• Establish governance for defect management, risk identification, and mitigation.
• Oversee creation of test scenarios and scripts for Workday modules/functional areas (HCM, Payroll, Compensation, Talent, Security, Workforce Planning, and Integrations).
• Coordinate execution of Unit Testing, System Integration Testing (SIT), User Acceptance Testing (UAT), and Regression Testing.
• Manage testing of Workday integrations (EIB, Studio, Core Connectors, APIs) and downstream systems.
• Validate data migration accuracy and reconciliation across environments.
• Liaise with business teams, HRIT, implementation partners, and vendors to ensure alignment.
• Provide regular status updates, dashboards, and readiness metrics to leadership.
• Prepare test summary reports with coverage, defect trends, and go-live readiness.

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract