Job Title

Director - Quality Engineering

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Qualification

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Job Description

Responsibilities:
Lead the design and implementation of test plans across functional, regression, performance, scalability, and AI/ML testing; oversee automated test frameworks and CI/CD integrations.
Ensure robust validation of AI/ML models used in clinical or scientific applications, including bias detection, reproducibility, and performance benchmarking.
Promote QA best practices and foster a culture of quality across engineering, product, and operations teams.
Collaborate with cross-functional stakeholders to embed quality throughout the PDLC and SDLC, and define quality requirements, validation strategies, and testing timelines.
Maintain and apply Quality Systems to ensure compliance with specifications, regulatory standards, and internal policies.
Act as a liaison between QA and other functional teams to align operational and quality objectives.
Provide strategic QA input for new projects, product development, R&D initiatives and technology transfer.
Manage multiple QA members, including performance evaluations, coaching, training, mentoring, and career development.
Communicate quality goals, metrics, risks, and system performance to executive leadership.
Monitor and report on quality metrics, release readiness, and risk assessments.
Oversee validation programs, including planning, execution, and documentation of process and equipment validations.
Drive continuous improvement initiatives and implement cost-effective quality enhancements.
Evaluate and select QA tools, automation frameworks, and technologies; review and approve test strategies, validation protocols, and quality documentation.
Stay informed on emerging trends in quality assurance, compliance, and testing technologies.

Desired Profile:
Bachelor’s degree related field and a minimum of 10 years of relevant work experience in computer Science, Engineering, cloud/infrastructure technologies, information technology (IT) consulting/support, software development/support, technology solutions.
12+ years of experience in software QA
Minimum 5 years of experience in managing teams.
6-8 years of experience working in a customer-facing role and leading projects.
Deep understanding of SaaS architecture, cloud platforms (e.g., AWS), and agile development methodologies.
Proven experience with:
Regression and performance testing
AI/ML model validation
Test automation frameworks
CI/CD pipeline integration and optimization
Proven executive leadership with a strategic mindset and a strong focus on stakeholder engagement, customer satisfaction, and vendor relationship management.
Exceptional communication skills—both written and verbal—with demonstrated ability to present clear, persuasive, and well-organized information to diverse audiences.
Skilled in developing and delivering compelling business proposals and business cases, both orally and in writing.
Experienced in quality management systems (QMS) and maintaining audit readiness across operations.
Strong analytical and problem-solving abilities, with a solid understanding of metrics to forecast and manage project cost, schedule, effort, and quality.

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