Senior Director, Quality Engineering

Advanced Tech Placement; New York (NY); Sur place; USD 180 000 - 240 000; Plein temps

Résumé du poste

Advanced Tech Placement in New York seeks a Senior Director of Quality Engineering to lead an automation-first QE organization across global teams, setting strategy for QA, test management, and release readiness. You will guide architecture of test automation platforms and partner with Engineering and DevOps to embed quality gates in CI/CD.

You will drive data-driven quality improvements, establish metrics, and advance AI-assisted testing while managing a distributed team and ensuring regulatory

Qualifications

• Bachelor’s degree in computer science, engineering, information systems, or related field; master’s preferred.
• 12+ years in software quality engineering with 5+ years in management leading distributed teams.
• Hands-on QE experience in P&C Insurance industry.
• Strong expertise in QE operations, automation frameworks, SDLC integration, and test management.
• Hands-on automation tools including Selenium, Playwright, Cypress, Tosca, Appium, Postman, Rest Assured, Karate, JMeter, and related performance tools.
• Experience integrating automated testing into CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins, GitLab, etc.).
• Proven track record driving automation adoption and improving quality KPIs.
• Excellent leadership, communication, and stakeholder management.

Responsabilités

• Lead and mentor a global QE organization including managers, test leads, and automation specialists.
• Define and execute enterprise-wide QE and test automation strategies aligned with digital transformation.
• Establish automation as the default testing approach across functional, integration, API, data, and performance testing.
• Drive adoption of modern QE practices such as shift-left/right, continuous testing, and quality observability.
• Own architecture and continual improvement of enterprise test automation frameworks and platforms.
• Drive automation across web, API, data, microservices, and cloud-native apps.
• Develop intelligent test automation leveraging AI-assisted generation and self-healing frameworks.
• Develop scalable QE platforms enabling rapid creation and maintenance of automated tests.
• Standardize frameworks, coding standards, and testing patterns across technology domains.
• Partner with Engineering/DevOps to implement automated quality gates in CI/CD workflows.
• Monitor QE metrics including automation coverage, execution rates, defect escape, release quality, MTTR, and CI/CD gate compliance.
• Utilize data-driven insights to identify risks and optimization opportunities.
• Develop executive dashboards on application health, release readiness, and automation maturity.
• Drive measurable improvements in software quality and engineering productivity.
• Champion emerging QE tech including Generative AI and autonomous testing.

Connaissances

QE operations

Automation frameworks

SDLC integration

Test management

CI/CD integration

People leadership

Security & privacy

Global delivery

Automation adoption

Formation

Bachelor’s degree in CS/Engineering/IS

Master’s degree preferred

Outils

Selenium

Playwright

Cypress

Tosca

Appium

Postman

Rest Assured

Karate

JMeter

Performance tools

Description du poste

We are looking for a Senior Director, Quality Engineering

This role is responsible for leading and managing automation-first Quality Engineering, ensuring consistent delivery of high-quality technology solutions across all business and technology initiatives. The position provides strategic and operational leadership for quality assurance, test management, release readiness, and quality governance practices across the software development lifecycle.

Responsibilities:

• Lead, mentor, and develop a global Quality Engineering organization including QE Managers, Test Leads, Test Engineers, and Automation Specialists; provide direct oversight, set clear goals, and support professional development.
• Define and execute enterprise-wide Quality Engineering and Test Automation strategies aligned with digital transformation and cloud modernization initiatives.
• Establish automation as the default testing approach across functional, integration, API, data, performance, and regression testing.
• Drive organizational adoption of modern QE practices including shift-left testing, shift-right validation, continuous testing, and quality observability.
• Build a high-performance engineering culture focused on innovation, automation, accountability, and measurable quality outcomes.
• Own the architecture, design, implementation, and continuous improvement of enterprise test automation frameworks and reusable quality platforms.
• Drive automation across web, API, data, microservices, event-driven, and cloud-native applications.
• Establish intelligent test automation capabilities leveraging AI-assisted test generation, self-healing automation frameworks, predictive quality analytics, and risk-based testing approaches.
• Develop scalable QE platforms that enable teams to rapidly create, execute, and maintain automated tests with minimal manual intervention.
• Standardize automation frameworks, coding standards, test design patterns, and engineering best practices across all technology domains.
• Partner with Engineering and DevOps leaders to implement automated quality gates within CI/CD pipelines and deployment workflows.
• Define and monitor key Quality Engineering metrics, including automation coverage, automated execution rates, defect escape rates, release quality scores, mean time to detect and resolve defects, test execution efficiency, CI/CD quality gate compliance, and production incident reduction.
• Utilize data-driven insights and predictive analytics to identify quality risks, bottlenecks, and opportunities for optimization.
• Develop executive-level quality dashboards that provide transparency into application health, release readiness, and automation maturity.
• Drive measurable improvements in software quality, release predictability, and engineering productivity.
• Champion adoption of emerging quality engineering technologies including Generative AI, machine learning-based test generation, autonomous testing, and intelligent quality platforms.
• Lead enterprise initiatives to reduce manual testing effort through automation, reusable assets, and engineering enablement practices.
• Continuously evaluate and modernize quality engineering tools, frameworks, and processes to improve scalability and effectiveness.
• Establish communities of practice, training programs, and engineering standards that promote innovation and knowledge sharing across teams.
• Drive root cause analysis initiatives and systemic quality improvements to eliminate recurring production defects.

Requirements:

• Bachelor’s degree in computer science, Engineering, Information Systems, or related field (master’s preferred).
• 12 years’ experience in software quality engineering or QA, with at least 5 years in management roles leading distributed teams.
• Experience with hands-on QE within P&C Insurance industry is required.
• Required Skills:
• Strong expertise in building, scaling, and overseeing QE operations—including automation frameworks, SDLC integration, and test management.
• Strong hands-on experience with automation technologies such as Selenium, Playwright, Cypress, Tosca, Appium, Postman, Rest Assured, Karate, JMeter, and performance engineering tools.
• Experience integrating automated testing into CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, GitLab, or similar platforms.
• Proven track record driving automation adoption and measurable improvements in quality KPIs.
• Excellent people leadership, team building, and stakeholder engagement skills.
• Deep understanding of industry standards for security, compliance, and data privacy as they relate to QE.
• Experience managing teams in a global delivery model.

Preferred Skills:

• Knowledge of data quality assurance, cloud migration, and digital transformation initiatives.