We are seeking an exceptional Vice President – Global QA Automation Lead to lead the next generation of Quality Engineering across a portfolio of strategic business applications. This role will own the global Quality Assurance strategy, establish AI-driven test automation practices, govern release quality, and provide independent QA sign-off for multiple mission-critical systems.

The successful candidate will combine deep expertise in Java , Selenium , enterprise automation frameworks , and modern quality engineering practices with practical experience leveraging Artificial Intelligence (AI) for testing, test generation, defect prediction, intelligent automation, and engineering productivity.

This individual will be a highly visible technology leader capable of engaging effectively with senior business stakeholders, technology executives, and global delivery teams while driving a transformation towards an automation-first and AI-first quality engineering culture.

Experience within Equity Derivatives , Structured Products , Front Office Trading Platforms , or Capital Markets is strongly preferred.

Key Responsibilities

Global Quality Leadership

- Own and define the global Quality Engineering vision, strategy, governance, and operating model.
- Establish enterprise-wide quality standards, testing controls, automation frameworks, and release governance processes.
- Provide QA sign-off and release readiness assessments across multiple strategic platforms and programmes.
- Act as the final quality authority for production releases, ensuring risk-based decision making.
- Drive quality transformation initiatives across globally distributed teams.
- Establish quality KPIs and executive dashboards for quality visibility and governance.

AI-Driven Test Automation Leadership

- Define and execute the enterprise AI-powered Quality Engineering roadmap.
- Drive adoption of Generative AI and AI-assisted testing capabilities across the SDLC.
- Develop strategies leveraging AI for:
- Automated test case generation
- Test script generation
- Intelligent regression selection
- Defect prediction and root cause analysis




- Risk-based testing
- Synthetic test data generation
- Release quality intelligence
- Evaluate and implement emerging AI testing platforms and engineering tools.
- Build organizational capability around AI-enabled quality engineering practices.
- Partner with Engineering teams to establish AI-accelerated software delivery patterns.

Test Automation Strategy & Architecture

- Define global test automation architecture and engineering standards.
- Design and govern scalable automation frameworks built using Java and Selenium .
- Establish reusable automation assets, libraries, frameworks, and testing accelerators.
- Drive automation coverage across:
- UI Testing
- API Testing
- Integration Testing
- End-to-End Testing
- Data Validation Testing
- Performance Testing
- Promote shift-left testing, continuous testing, and quality gates within CI/CD pipelines.

Test Strategy & Quality Governance

- Define comprehensive testing strategies for large-scale transformation initiatives.
- Ensure complete business requirement traceability and test coverage.
- Drive adoption of risk-based testing approaches.
- Establish test governance frameworks covering quality metrics, release controls, and production risk management.
- Lead quality reviews and executive-level quality reporting.

Business & Stakeholder Engagement

- Build trusted relationships with business leaders, Front Office stakeholders, Product Owners, and Technology Leadership.
- Translate complex business requirements into comprehensive quality engineering solutions.
- Clearly communicate quality risks, test progress, and release readiness to senior stakeholders.




- Partner with global delivery teams to ensure consistent quality execution across regions.

Leadership & Talent Development

- Lead globally distributed QA and Automation teams.
- Build a high-performance engineering culture focused on innovation and continuous improvement.
- Mentor senior QA engineers, automation architects, and quality managers.
- Drive adoption of modern engineering and AI testing practices.
- Develop organizational automation maturity and quality engineering capabilities.

Required Experience

Quality Engineering Leadership

- 15+ years of experience in Software Testing, Quality Engineering, and Test Automation.
- 8+ years leading enterprise-wide QA Automation initiatives.
- Extensive experience providing release sign-off and quality governance.
- Proven success leading globally distributed quality engineering teams.
- Demonstrated experience driving organization-wide quality transformations.

Technical Expertise Solid hands-on experience in:

- Core Java
- Selenium WebDriver
- TestNG / JUnit
- Cucumber / BDD Frameworks
- REST API Testing
- Microservices Testing
- SQL & Database Testing
- GitLab
- CI/CD Automation
- Automation Framework Design
- Design Patterns & Test Architecture

Must have direct experience designing and owning large-scale automation frameworks, not merely executing automated tests. AI & Innovation Requirements (Mandatory)

Candidates must demonstrate practical experience using AI within Software Testing and Quality Engineering.

Examples include

- Using Generative AI tools for test design and automation generation.
- AI-assisted creation of automated test scripts.
- AI-driven defect triage and root cause analysis.
- Intelligent test selection and regression optimization.
- AI-powered quality analytics and release intelligence.
- LLM-based testing approaches.
- Agentic AI solutions supporting SDLC and Quality Engineering activities.

The ideal candidate should be able to articulate a clear vision for how AI will transform testing over the next 3–5 years and have evidence of implementing such solutions in production environments.

📌 VP - Lead Test Engineer (Pune)
🏢 BIG4
📍 Pune