Sansar Tec
Manager – Quality Engineering (QE) – Retail Personalization & OMS
Sansar Tec, Katy, Texas, United States, 77494
Manager – Quality Engineering (QE) – Retail Personalization & OMS
Location: Onsite, 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 responsibilities and contributions on prior OMS projects.
Key Responsibilities
Lead end‑to‑end QE strategy for personalization and OMS‑related workflows.
Manage and coordinate with 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.
Provide detailed documentation and communicate test results, coverage, and risks.
Must‑Have Qualifications Domain Expertise
Strong Retail and/or Supply Chain domain knowledge.
In‑depth Order Management System (OMS) experience: must detail systems worked on (e.g., Manhattan, IBM Sterling, custom OMS).
Must articulate specific roles, modules handled, integrations tested, and contributions.
QE & Automation Expertise
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.
Strong SQL skills with experience validating large datasets.
Experience working with datasets tied to personalization or recommendation engines.
Data + Cloud
Exposure to Big Data ecosystems – Spark, Hive, or large‑scale data validation.
Cloud experience with AWS, GCP, 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.
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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 responsibilities and contributions on prior OMS projects.
Key Responsibilities
Lead end‑to‑end QE strategy for personalization and OMS‑related workflows.
Manage and coordinate with 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.
Provide detailed documentation and communicate test results, coverage, and risks.
Must‑Have Qualifications Domain Expertise
Strong Retail and/or Supply Chain domain knowledge.
In‑depth Order Management System (OMS) experience: must detail systems worked on (e.g., Manhattan, IBM Sterling, custom OMS).
Must articulate specific roles, modules handled, integrations tested, and contributions.
QE & Automation Expertise
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.
Strong SQL skills with experience validating large datasets.
Experience working with datasets tied to personalization or recommendation engines.
Data + Cloud
Exposure to Big Data ecosystems – Spark, Hive, or large‑scale data validation.
Cloud experience with AWS, GCP, 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.
#J-18808-Ljbffr