Manager – Quality Engineering (QE) – Retail Personalization & OMS

Manager – Quality Engineering (QE) – Retail Personalization & OMS

Location: Onsite in Katy, TX (5 days/week preferred; 4 days possible later)
Type: Contract
Domain: Retail / Supply Chain / OMS / Personalization

Position Overview

We are seeking a Manager – Quality Engineering (QE) with strong Retail/Supply Chain domain expertise and hands-on OMS experience. This role will lead the test automation strategy for a large-scale Retail Personalization initiative while also supporting OMS quality needs. The ideal candidate must have deep understanding of OMS workflows and be able to clearly articulate their specific responsibilities and contributions on prior OMS projects.

This position requires a combination of technical leadership, automation expertise, data validation skills, and the ability to work closely with cross-functional and offshore teams.

Key Responsibilities

• Lead end-to-end QE strategy for personalization and OMS-related workflows.

• Manage and coordinate with both client stakeholders and offshore QE teams.

• Build and maintain automated test suites for API, UI, and data validation.

• Ensure data integrity and validation across personalization models and high-volume datasets.

• Partner with developers, data engineers, and product teams to define and enforce quality standards.

• Support performance and scalability testing for personalization and OMS scenarios.

• Integrate continuous testing practices into CI/CD pipelines.

• Provide detailed documentation and clearly communicate test results, coverage, and risks.

Must-Have Qualifications

• Strong Retail and/or Supply Chain domain knowledge.

• In-depth Order Management System (OMS) experience:

  • Must be able to detail systems worked on (e.g., Manhattan, IBM Sterling, custom OMS, etc.)

  • Must articulate specific roles, modules handled, integrations tested, and contributions.

• 7+ years in Quality Engineering with strong hands-on automation experience.

• Automation expertise using Selenium, Cypress, or equivalent frameworks.

• Strong API testing skills using Postman, Rest Assured, or similar.

• Solid scripting knowledge in Python, Java, or JavaScript.

• Strong SQL skills with experience validating large datasets.

• Experience working with datasets tied to personalization or recommendation engines.

• Exposure to Big Data ecosystems—Spark, Hive, or large-scale data validation.

• Cloud experience with AWS, Google Cloud Platform, or Azure (at least one required).

Nice-to-Have

• Experience with A/B testing, experimentation platforms, or ML model validation.

• Understanding of data governance and privacy compliance in retail environments.

• Prior QE leadership experience on personalization or customer experience programs.

Additional Expectations

• Must be able to work onsite in Katy, TX at the client location (5 days/week preferred).

• Strong communication skills and ability to present OMS experience clearly and confidently.

• Ability to work in a fast-paced environment with evolving business requirements.