AI-Forward QA Lead, System Quality & Testing

IQVIA INC (US10); New Providence (NJ); On-site; USD 91,000 - 254,000; Full time

Job summary

IQVIA Inc is seeking a System Quality leader to drive QA strategy for complex technology solutions within the PASS team. You will supervise a distributed QA workforce, shape risk-based testing, and ensure end-to-end quality across integrated systems with a focus on AI-enabled improvements.

Expect collaboration with Development, Business Analysis, and testing teams to optimize quality, leverage emerging technologies, and balance scope, speed, and risk in delivery decisions.

Qualifications

• 8+ years of progressive experience in software quality assurance, testing, or technology delivery.
• Strong understanding of system integration, APIs, data flows, regression, and end-to-end testing.
• Experience leading and developing QA professionals across distributed teams.
• Strong systems thinking, problem-solving, stakeholder management, and communication skills.
• Ability to operate across multiple technologies and business domains and quickly understand unfamiliar systems.

Responsibilities

• Leads quality strategy, planning, and execution for complex applications and integrated solutions.
• Coaches and develops a team of QA resources across onshore and offshore members.
• Supports resource planning and enables QA talent to flex across QA priorities.
• Defines risk-based test strategies, test plans, coverage, and release-readiness criteria.
• Evaluates changes with an end-to-end systems lens, identifying dependencies and quality risks.
• Drives integration, regression, and end-to-end testing across systems and workflows.

Skills

QA leadership

System integration

APIs

End-to-end testing

Stakeholder management

Communication

Problem-solving

Systems thinking

Education

Bachelor's degree or equivalent in CS/IS/Engineering

Job description

IQVIA Inc is seeking a System Quality leader to drive QA strategy for complex technology solutions within the PASS team. You will supervise a distributed QA workforce, shape risk-based testing, and ensure end-to-end quality across integrated systems with a focus on AI-enabled improvements.

Expect collaboration with Development, Business Analysis, and testing teams to optimize quality, leverage emerging technologies, and balance scope, speed, and risk in delivery decisions.