We are seeking a strategic, results-oriented Senior Director, Quality Assurance to lead quality strategy and execution across a global Intellectual Property (IP) portfolio of products, platforms, and services. This leader will modernize Quality Engineering practices and ensure delivery of secure, scalable, reliable products that improve customer outcomes.
Partnering with Engineering, Product, Operations, Security, Customer Success, and Executive Leadership, this role will embed quality as an organizational capability through automation, analytics, innovation, and data-driven decision making.
About You - Experience, Education, Skills & Accomplishments
Required Qualifications
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.
It Would Be Great If You Also 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.
Technical Expertise
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.
What You Will Do
Define and execute the enterprise QA and Quality Engineering vision aligned to long-term business strategy.
Advise executive leadership on quality risks,…