Sansar Tec
Manager Quality Engineering (QE) Retail Personalization & OMS (Katy)
Sansar Tec, Katy, Texas, United States, 77494
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 Domain Expertise 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. 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. 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. 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.
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 Domain Expertise 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. 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. 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. 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.