Data QA Program Manager with P&C Domain Required

Derex Technologies Inc; Ohio (IL); On-site; USD 120,000 - 180,000; Full time

Job summary

Derex Technologies Inc. seeks a Data QA Program Manager with P&C domain expertise to lead data quality initiatives, QA strategy, and automation across large datasets.

The role requires strong PM skills, hands-on QA experience with Snowflake, Informatica, SQL, Oracle, API testing, and Python for automation, and will involve coordinating with business analysts, data engineers, and stakeholders.

Qualifications

• 15+ years of IT experience, including 4-5 years in managing Data QA projects.
• Hands-on QA experience in Snowflake, Informatica CDV/DVO, SQL, Oracle, API Testing using Postman, Python libraries for QA automation.
• Hands on experience managing team’s deliverables using agile boards such as Rally / Jira / Azure DevOps.
• Prior experience in managing large QA initiatives in a customer-facing role.
• Strong project management and leadership skills.
• Ability to explain technical issues to non-technical audiences.
• Self-motivated with the ability to handle multiple projects.
• Strong communication and interpersonal skills.

Responsibilities

• Define and implement data quality strategy, test approach, and QA processes
• Collaborate with business analysts, data engineers, and stakeholders to understand requirements and ensure alignment
• Oversee development and execution of automation frameworks for data testing
• Lead and manage Data QA analysts and automation engineers, including task planning, execution tracking, mentoring, and performance reviews.
• Plan and allocate QA resources, including interview panels and team capacity
• Ensure adherence to data governance and compliance standards
• Drive test automation using Python to validate large‑scale datasets, schemas, metrics, and regression scenarios.
• Continuously improve QA processes, tools, and automation coverage.
• Solve impediments for executing the QA strategy by addressing technical and dependency complexity.
• Plan for risk management, anticipate bottlenecks, mitigate risks and communicate effectively with stakeholders.
• Manage internal as well as external stakeholder expectations.

Skills

Data QA leadership

QA project management

Team leadership

Snowflake

Informatica CDV/DVO

SQL

Oracle

API Testing (Postman)

Python QA automation

Agile / Jira / Rally / Azure DevOps

P&C domain knowledge

Education

Bachelor’s or Master’s degree in CS / IS / Data Engineering

Tools

Snowflake

Informatica CDV/DVO

SQL

Oracle

Postman

Python

Job description

Data QA Program Manager with P&C Domain Required

• Full-time

Derex Technologies Inc specializes in providing IT consulting, staffing solutions and software services. Globally headquartered in Harrison New Jersey since 1996 Derex delivers the highest quality technology professionals and an array of customized IT talent solutions designed to improve productivity and drive results to global clients throughout North America.

With over two decades of unparalleled experience, Derex provides supports to its clientele, across such industries as Systems Integration, Banking and Finance, Telecommunications, Pharmaceutical and Life Sciences, Energy, Healthcare, Technology, Transportation, and local and federal Government agencies.

Job Role: Data QA Program Manager with P&C Domain Required

Location: Ohio, USA (Need to Report Client’s office three days a week, Tuesday to Thursday).

Mandatory : Experience in executing QA projects in P&C insurance domain required.

Requirements - Must have

• 15+ years of IT experience, including 4-5 years in managing Data QA projects.
• Prior hands-on QA experience in Snowflake, Informatica CDV/DVO, SQL, Oracle, API Testing using Postman, Python libraries for QA automation.
• Hands on experience managing team’s deliverables using agile boards such as: Rally / Jira / Azure DevOps.
• Prior experience in managing large QA initiatives in a customer-facing role.
• Strong project management and leadership skills.
• Ability to explain technical issues to non-technical audiences.
• Self-motivated with the ability to handle multiple projects.
• Strong communication and interpersonal skills.

Responsibilities:

• Define and implement data quality strategy, test approach, and QA processes
• Collaborate with business analysts, data engineers, and stakeholders to understand requirements and ensure alignment
• Oversee development and execution of automation frameworks for data testing
• Lead and manage Data QA analysts and automation engineers, including task planning, execution tracking, mentoring, and performance reviews.
• Plan and allocate QA resources, including interview panels and team capacity
• Ensure adherence to data governance and compliance standards
• Drive test automation using Python to validate large‑scale datasets, schemas, metrics, and regression scenarios.
• Continuously improve QA processes, tools, and automation coverage.
• Solve impediments for executing the QA strategy by addressing technical and dependency complexity.
• Plan for risk management, anticipate bottlenecks, mitigate risks and communicate effectively with stakeholders.
• Manage internal as well as external stakeholder expectations.

Education: Bachelor’s or master’s degree in computer science, Information Systems, Data Engineering, or a related field.


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