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, 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.
About the team
The Quality Assurance & Quality Engineering organization ensures secure, reliable, scalable, high-quality products across the IP portfolio. The team partners with Engineering, Product, Data Science, Security, and Operations to embed quality throughout the SDLC and accelerate delivery through automation, continuous testing, AI-assisted testing, DevSecOps, predictive analytics, and continuous improvement.
At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.
