QA technical Lead
Insight Global
Job Description Insight Global is seeking a highly technical QA Lead who can operate in a fast-paced environment, lead multiple concurrent initiatives, and drive automation and process improvements across QA and data-focused projects.
This is not a traditional functional QA role. The ideal candidate will have strong technical, data, and automation expertise, with the ability to identify root causes, streamline testing processes, standardize data and test cases, and leverage AI-driven solutions. They will act as a technical leader and strategic problem solver, bringing new ideas and efficiencies to the team.
Key Responsibilities
Lead multiple testing and data initiatives simultaneously
Design and execute end-to-end testing strategies across applications and data pipelines
Drive automation efforts for testing, reporting, and data validation processes
Standardize test cases, test data, and QA best practices across the team
Analyze large datasets to identify defects, data quality issues, and process inefficiencies
Collaborate closely with Product Managers, Developers, and Business Stakeholders
Challenge assumptions and push back when necessary to maintain quality standards
Investigate application and data issues by understanding end-to-end data flow and business impact
Introduce AI and Copilot-based solutions to improve QA productivity and efficiency
Mentor team members and provide technical guidance on automation and testing practices
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: and Requirements
5-10+ years of QA experience with prior experience leading testing initiatives
Strong technical QA background with experience beyond manual testing
Medium to Advanced SQL skills
Experience with end-to-end testing and test strategy development
Strong understanding of data analysis, data validation, and data quality controls
Experience building automated testing solutions
Strong communication and stakeholder management skills
Ability to work across multiple initiatives in a high-volume environment
Proven track record identifying process improvements and driving efficiencies
Python development experience with a focus on automation and data processing
Data modeling and data automation experience
AI/Copilot experience within QA or testing environments
Financial Services experience
KYC (Know Your Customer)
AML (Anti-Money Laundering)
Financial regulatory reporting
Capital Markets
Data cleansing and governance
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This is not a traditional functional QA role. The ideal candidate will have strong technical, data, and automation expertise, with the ability to identify root causes, streamline testing processes, standardize data and test cases, and leverage AI-driven solutions. They will act as a technical leader and strategic problem solver, bringing new ideas and efficiencies to the team.
Key Responsibilities
Lead multiple testing and data initiatives simultaneously
Design and execute end-to-end testing strategies across applications and data pipelines
Drive automation efforts for testing, reporting, and data validation processes
Standardize test cases, test data, and QA best practices across the team
Analyze large datasets to identify defects, data quality issues, and process inefficiencies
Collaborate closely with Product Managers, Developers, and Business Stakeholders
Challenge assumptions and push back when necessary to maintain quality standards
Investigate application and data issues by understanding end-to-end data flow and business impact
Introduce AI and Copilot-based solutions to improve QA productivity and efficiency
Mentor team members and provide technical guidance on automation and testing practices
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: and Requirements
5-10+ years of QA experience with prior experience leading testing initiatives
Strong technical QA background with experience beyond manual testing
Medium to Advanced SQL skills
Experience with end-to-end testing and test strategy development
Strong understanding of data analysis, data validation, and data quality controls
Experience building automated testing solutions
Strong communication and stakeholder management skills
Ability to work across multiple initiatives in a high-volume environment
Proven track record identifying process improvements and driving efficiencies
Python development experience with a focus on automation and data processing
Data modeling and data automation experience
AI/Copilot experience within QA or testing environments
Financial Services experience
KYC (Know Your Customer)
AML (Anti-Money Laundering)
Financial regulatory reporting
Capital Markets
Data cleansing and governance
#J-18808-Ljbffr
Reference: WJ-3875_12924991