Director, Quality Assurance

About the role

This leadership position involves shaping and executing the quality engineering strategy for multiple products and platforms across global teams. You will define the long-term QA vision, spearhead company-wide quality initiatives, and ensure the delivery of highly reliable and performant products. This role requires a strong leader who can influence stakeholders and drive measurable quality improvements in complex systems.

Key facts

What you'll do

• Develop and implement the organization's QA and Quality Engineering strategy, aligning with business and product goals.
• Lead, mentor, and expand a high-performing global QA team across various programs.
• Establish key performance indicators and metrics to track product quality, release readiness, and automation effectiveness.
• Drive company-wide quality improvements, including test automation modernization and continuous integration quality.
• Partner with senior leaders to prioritize investments and process enhancements for product quality and engineering speed.
• Serve as the primary QA contact and escalation point for major quality issues and initiatives.
• Foster a culture of accountability, innovation, and continuous improvement.
• Oversee QA planning and execution for multiple programs, ensuring alignment with organizational timelines.
• Ensure products meet high standards for reliability, scalability, and usability before release.
• Communicate quality risks, release readiness, and mitigation strategies to executive leadership.
• Improve organizational efficiency through optimized test planning, automation, and resource allocation.
• Lead hiring efforts to attract top QA and Quality Engineering talent.
• Promote collaboration and transparency across geographically dispersed teams.
• Champion quality automation strategies across various testing types, including UI, API, and data.
• Oversee the implementation and governance of enterprise QA tools and reporting systems.
• Establish quality gates and automated validation within CI/CD pipelines.
• Reduce defect escape rates and drive preventative quality practices to improve production stability.
• Lead post-release quality reviews and root cause analysis initiatives.
• Evaluate new technologies, including AI/ML-driven testing, to enhance efficiency and defect detection.
• Define and lead the organization's AI-enabled Quality Engineering strategy, leveraging AI for test generation, optimization, and insights.
• Drive the adoption of AI tools within the QA organization to boost productivity and accelerate validation.
• Ensure effective management of test environments, test data, and release validation processes.
• Advise Engineering and Product leadership on quality risks and operational improvements.
• Influence organizational decisions to embed quality throughout product development.
• Collaborate with DevOps and Infrastructure teams to enhance observability and deployment reliability.
• Facilitate communication between technical and non-technical stakeholders regarding quality strategies.
• Represent the QA organization in executive meetings and roadmap discussions.
• Incorporate end-user feedback and production insights into quality initiatives.

Requirements

• 12 or more years of Quality Assurance or Quality Engineering experience.
• 7 or more years in senior leadership or management roles.
• Proven experience leading enterprise QA organizations across multiple products and teams.
• Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent practical experience.
• Deep understanding of modern SDLC methodologies, including Agile, DevOps, and CI/CD.
• Strong expertise in QA methodologies, testing strategies, automation frameworks, and release management.
• Demonstrated success in building and scaling enterprise-grade QA and Quality Engineering organizations.
• Experience defining organizational quality strategy, metrics, governance, and operational excellence programs.
• Strong hands-on experience with modern automation frameworks and tools such as Playwright, Selenium, Cypress, or TestNG.
• Experience with API testing, performance testing, and security testing methodologies and tools.
• Strong understanding of hybrid architectures and platforms, including AWS and on-premise datacenters.
• Experience integrating automated testing into CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab CI.
• Strong experience with modern engineering and QA tools such as JIRA, Practitest, and Postman.
• Experience with version control systems like Git, GitHub, or GitLab.
• Strong strategic thinking, analytical, and problem-solving abilities.
• Proven ability to influence senior stakeholders and drive organizational change.
• Exceptional written and verbal communication skills for technical and executive audiences.
• Strong leadership presence, negotiation skills, and executive-level presentation capabilities.
• Experience operating effectively in fast-paced, high-growth environments.
• Strong quality mindset with exceptional attention to detail and operational rigor.

Nice to have

• Experience in OEM, Consumer Electronics, digital advertising, AdTech, media, or related technology industries.
• Advanced QA certifications such as CSQE or ISTQB Advanced.
• Experience architecting enterprise-level automation frameworks (data-driven, keyword-driven, hybrid).
• Experience with service virtualization concepts and tooling.
• Experience building testing frameworks for SDKs and distributed systems.
• Advanced performance engineering expertise using tools like LoadRunner, JMeter, NeoLoad, or Locust.
• Experience implementing AI/ML-driven quality engineering and intelligent testing approaches.
• Strong understanding of emerging AI technologies and practical applications of generative AI in software testing.
• Experience evaluating and integrating AI-powered QA tools for test case generation, defect prediction, and optimization.
• Strong programming or scripting expertise in JavaScript (Node.js), Python, or Java.
• Experience managing globally distributed QA organizations and offshore teams.
• Experience driving large-scale QA transformation initiatives and operational maturity programs.

Practical notes

LG Ad Solutions is an equal opportunity employer. If you require reasonable accommodation for any part of the application process due to a medical condition or disability, please email careers@lgads.tv.

About the company

Powering advanced advertising for Connected TV and cross-screen campaigns, helping brands engage audiences through Smart TV data.