Quality Assurance Lead

Required Skills & Experience

• 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

Nice to Have Skills & Experience

○ KYC (Know Your Customer)

○ AML (Anti-Money Laundering)

○ Financial regulatory reporting

○ Capital Markets Data cleansing and governance

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 may use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position. This role is for a new vacant opening.

Pay rate: $60-70/hr