LG Ad Solutions
Website:
lgads.tv
Company:
https://www.linkedin.com/company/lgads
Seniority: Not Applicable
Industries: Advertising Services
Job details:
LG Ad Solutions
LG Ad Solutions is a global leader in connected TV and cross-screen advertising. We deliver innovative advertising solutions that integrate seamlessly with today’s evolving digital media landscape.
The Opportunity
As the Director of Quality Assurance at LG Ad Solutions, you will lead and scale the organization’s quality engineering strategy across multiple products, platforms and global delivery teams. This role is responsible for defining and executing the long-term QA vision, driving enterprise-wide quality initiatives and ensuring the delivery of highly reliable, scalable and performant products.
The Director of QA will provide strategic leadership across software quality, test automation, release readiness and quality engineering transformation while partnering closely with Product, Engineering, DevOps, Infrastructure and Executive Leadership. This role requires a strong people leader and technical strategist with proven experience leading large QA organizations, influencing cross-functional stakeholders and driving measurable quality improvements across complex distributed systems.
You will champion a culture of quality throughout the organization, modernize testing practices, improve operational excellence and help establish quality engineering as a critical business enabler.
Responsibilities
Organizational Leadership & Strategy
- Define and execute the organization-wide QA and Quality Engineering strategy aligned with business objectives, engineering goals and product roadmaps.
- Lead, mentor and grow a high-performing global QA organization across multiple teams, programs and delivery streams.
- Establish departmental KPIs, operational objectives and quality metrics to measure product quality, release readiness, automation effectiveness and engineering efficiency.
- Drive enterprise-wide quality initiatives including test automation modernization, shift-left testing, CI/CD quality integration and scalable test strategies.
- Partner with senior leadership to prioritize investments, staffing and process improvements that improve product quality and engineering velocity.
- Serve as the primary QA leader and escalation point for major quality initiatives, risks and production-impacting issues.
- Build and maintain a culture of accountability, innovation, operational excellence and continuous improvement.
- Lead organizational change management efforts related to quality engineering practices, tooling and processes.
- Develop succession planning, career growth frameworks and mentorship programs for QA leadership and engineering staff.
Team Management & Delivery Excellence
- Oversee QA planning, execution and delivery across multiple simultaneous programs ensuring alignment with organizational priorities and timelines.
- Ensure products are released with high standards of reliability, scalability, performance and usability.
- Provide executive-level communication regarding quality risks, release readiness, operational impacts and mitigation strategies.
- Drive cross-functional alignment between QA, Engineering, Product Management, PMO, DevOps and Operations.
- Improve organizational efficiency through optimized test planning, automation strategy, resource allocation and quality governance.
- Lead hiring efforts and attract top-tier QA and Quality Engineering talent.
- Foster collaboration, transparency and accountability across geographically distributed teams.
Quality Engineering & Process Excellence
- Drive large-scale adoption of automated testing frameworks and modern quality engineering practices.
- Champion quality automation strategies across UI, API, integration, data and infrastructure testing.
- Oversee implementation and governance of enterprise QA tooling, frameworks and reporting systems.
- Establish quality gates and automated validation within CI/CD pipelines.
- Improve production stability by reducing defect escape rates and driving preventative quality practices.
- Lead post-release quality reviews and operational RCA initiatives.
- Evaluate emerging technologies, AI/ML-driven testing approaches and automation innovations to improve efficiency, coverage and defect detection.
- Define and lead the organization’s AI-enabled Quality Engineering strategy including leveraging AI-assisted test generation, intelligent test optimization, predictive defect analysis, autonomous testing approaches and AI-powered quality insights to improve engineering velocity and product reliability.
- Drive adoption of AI tools and workflows across the QA organization to improve productivity, accelerate release validation, enhance root cause analysis and optimize test coverage.
- Ensure effective management of test environments, test data and release validation processes.
Cross-Functional Collaboration & Executive Influence
- Act as a strategic advisor to Engineering and Product leadership on quality-related risks, priorities and operational improvements.
- Influence organizational decisions and engineering practices to ensure quality is embedded throughout product development.
- Partner closely with DevOps and Infrastructure teams to strengthen observability, release quality and deployment reliability.
- Facilitate alignment between technical and non-technical stakeholders by communicating quality strategies, tradeoffs and outcomes clearly.
- Represent the QA organization in executive meetings, roadmap discussions and operational reviews.
- Promote customer-focused quality practices by incorporating end-user feedback and production insights into quality initiatives.
Requirements
- 12+ years of Quality Assurance and/or Quality Engineering experience including 7+ years in senior leadership or management roles.
- Proven experience leading enterprise QA organizations across multiple products, platforms and engineering teams.
- Bachelor’s degree in Computer Science, Information Technology, Engineering or equivalent practical experience. Advanced degrees are a plus.
- Deep understanding of modern SDLC methodologies including Agile, DevOps and CI/CD.
- Strong expertise in QA methodologies, software testing strategies, automation frameworks and release management practices.
- Demonstrated success 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 including Playwright, Selenium, Cypress, TestNG or equivalent.
- Experience with API testing, performance testing and security testing methodologies and tooling.
- Strong understanding of hybrid architectures and platforms including AWS and on-prem Datacenters.
- Experience integrating automated testing into CI/CD pipelines using tools such as Jenkins, GitHub Actions, GitLab CI or equivalent.
- Strong experience with modern engineering and QA tools such as JIRA, Practitest, Postman, and related platforms.
- Experience with version control systems such as Git/GitHub/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 with the ability to communicate effectively to 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.
Preferred
- Experience within OEM (Original Equipment Manufacturer), Consumer Electronics, digital advertising, AdTech, media or related technology industries.
- Advanced QA certifications such as CSQE, ISTQB Advanced or equivalent.
- Experience architecting enterprise-level automation frameworks including data-driven, keyword-driven and hybrid testing frameworks.
- Experience with service virtualization concepts and tooling.
- Experience building testing frameworks for SDKs and distributed systems.
- Advanced performance engineering expertise using tools such as LoadRunner, JMeter, NeoLoad, Locust or equivalent.
- Experience implementing AI/ML-driven quality engineering, intelligent testing approaches and AI-assisted automation strategies.
- Strong understanding of emerging AI technologies and practical applications of generative AI within software testing, automation, quality analytics and engineering productivity workflows.
- Experience evaluating and integrating AI-powered QA tools for test case generation, defect prediction, test optimization, observability and release quality analysis.
- Strong programming/scripting expertise in JavaScript (Node.js), Python and/or Java.
- Experience managing globally distributed QA organizations and offshore teams.
- Experience driving large-scale QA transformation initiatives and operational maturity programs.
LG Ad Solutions provides equal work opportunities to all team members and applicants, and prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex, including pregnancy, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.
We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@lgads.tv to let us know the nature of your request.
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