Sr. Director, Quality Assurance

Overview

Lead quality strategy and execution across a global Intellectual Property (IP) portfolio of products, platforms, and services, modernizing Quality Engineering practices and embedding quality as an organizational capability.

What you'll do

• Define and execute the enterprise QA and Quality Engineering vision aligned to long-term business strategy.
• Advise executive leadership on quality risks, opportunities, trends, investments, and transformation priorities.
• Establish enterprise quality standards, governance forums, operating models, KPIs, SLAs, and release readiness criteria.
• Ensure compliance with security, regulatory, privacy, audit, and risk management requirements.
• Drive modern Quality Engineering practices, automation-first testing, AI-powered testing, and continuous quality across the SDLC.
• Oversee quality operations across product portfolios while improving processes, tools, productivity, and delivery performance.
• Improve release confidence and reduce defects, incidents, escalations, and operational risk through data-driven insights and root cause analysis.
• Partner with Product, Engineering, Customer Success, Operations, Security, and Architecture teams to align quality objectives with business goals.
• Use customer feedback, support trends, and telemetry to improve product reliability, stability, usability, scalability, and performance.
• Build, lead, mentor, and develop high-performing global QA and Quality Engineering teams.
• Create a culture of quality, innovation, accountability, inclusion, continuous learning, succession readiness, and employee engagement.

What you'll need

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.
• 18+ years of progressive experience in Quality Assurance, Quality Engineering, Software Engineering, or Technology Leadership roles.
• 8+ years of people leadership experience managing managers and global QA/Engineering organizations.
• Proven track record leading enterprise-scale quality programs supporting cloud, SaaS, data, AI/ML, and platform-based products.
• Demonstrated experience developing and executing strategic quality roadmaps aligned to business objectives.
• Experience driving large-scale test automation initiatives and quality transformation programs.
• Strong experience establishing enterprise quality governance, standards, metrics, and operational frameworks.
• Experience managing globally distributed teams across multiple geographies and time zones.
• Proven ability to influence executive stakeholders and drive organizational change.
• Strong understanding of Agile, Scrum, DevOps, CI/CD, and modern software development methodologies.
• Experience building and scaling Quality Engineering organizations in fast-paced product environments.
• Strong experience applying AI, automation, shift-left practices, and ROI-focused test planning to improve quality outcomes.
• Deep understanding of modern quality engineering practices, including shift-left testing, risk-based testing, test strategy, test design, test data management, and defect prevention.
• Strong technical fluency across cloud-native architectures, SaaS platforms, microservices, APIs, event-driven systems, distributed applications, and data-intensive products.
• Experience defining automation architecture and toolchains across UI, API, integration, contract, performance, security, accessibility, mobile, and regression testing.
• Practical knowledge of CI/CD pipelines, DevOps practices, release orchestration, environment management, observability, telemetry, and quality gates.
• Ability to leverage AI-assisted testing, self-healing test suites, analytics, predictive quality signals, and automation to improve coverage, speed, productivity, and release confidence.
• Strong grasp of secure-by-design and quality-by-design principles, including security testing, privacy considerations, audit readiness, compliance controls, and operational risk management.

Nice to have

• Experience supporting intellectual property, legal technology, healthcare, financial services, or other highly regulated industries.
• Expertise in cloud-native architectures, microservices, distributed systems, and API-driven ecosystems.
• Hands-on knowledge of AI-assisted testing, machine learning validation, continuous testing, SRE, and quality practices for AI-powered products.
• Strong understanding of security testing, compliance requirements, privacy regulations, and risk management practices.
• Experience with performance engineering, resiliency testing, chaos engineering, and observability platforms.
• Relevant certifications such as ISTQB Advanced, Six Sigma, Lean, Agile Leadership, or Quality Engineering certifications.

Details

• Location: Noida, India.