QE Director/Delivery Manager/Program Manager

Coforge; Plano (TX); On-site; USD 180,000 - 260,000; Full time

Job summary

Coforge seeks an experienced QE Director Delivery Manager to lead AI-powered quality initiatives across enterprise apps and digital transformations. You will shape QE strategy, drive AI-assisted testing, and govern large programs while mentoring cross-functional teams.

The ideal candidate brings 18+ years in Quality Engineering, strong delivery leadership, and hands-on AI capabilities to elevate testing efficiency and product value.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 18+ years of experience in Software Testing / Quality Engineering.
• 5+ years in Delivery Management, Program Management, or QE Leadership roles.
• Hands-on knowledge of AI/GenAI technologies and their application in software testing.

Responsibilities

• Lead end-to-end QE delivery across multiple projects and programs.
• Define QE roadmaps, delivery plans, governance models, and quality metrics.
• Manage program budgets, resource planning, risk mitigation, and stakeholder communication.
• Ensure timely delivery of testing milestones with high-quality standards.
• Drive continuous improvement initiatives across QE processes and methodologies.

Skills

Quality Engineering leadership

Delivery Management

AI/GenAI experience

Stakeholder management

QA tooling knowledge

Selenium/Playwright

Education

Bachelor's or Master's in Computer Science or Engineering

Tools

Selenium

Playwright

UFT

Postman

JMeter

Job description

Job Title: QE Director Delivery Manager / Program Manager - AI in Quality Engineering (QE)

Experience: 18+ Years

Employment Type: Full-Time

Job Summary

Coforge is seeking for an experienced QE Director Delivery Manager / Program Manager to lead and drive AI-powered Quality Engineering initiatives across enterprise applications and digital transformation programs. The ideal candidate will have a strong background in Quality Engineering, Test Automation, Delivery Management, and Program Governance, with hands-on experience leveraging AI/GenAI technologies to improve testing efficiency, quality, and delivery outcomes.

This role will be responsible for defining and executing the QE strategy, implementing AI-driven testing solutions, managing large-scale testing programs, and leading cross-functional teams to accelerate software quality and business value.

Key Responsibilities

Delivery & Program Management

• Lead end-to-end Quality Engineering delivery across multiple projects and programs.
• Define QE roadmaps, delivery plans, governance models, and quality metrics.
• Manage program budgets, resource planning, risk mitigation, and stakeholder communication.
• Ensure timely delivery of testing milestones with high-quality standards.
• Drive continuous improvement initiatives across QE processes and methodologies.

AI-Driven Quality Engineering

• Define and execute AI/GenAI adoption strategy within Quality Engineering.
• Identify opportunities to leverage AI for:
• Defect prediction and analysis
• Root cause analysis
• Intelligent test execution and optimization
• Implement AI-powered testing solutions and frameworks.
• Evaluate and integrate emerging AI testing tools and platforms.

Quality Engineering Leadership

• Automation-First Testing
• Shift-Left and Shift-Right Testing
• DevOps and CI/CD integration
• Performance Engineering
• Quality Analytics
• Define QE KPIs and dashboards to measure quality effectiveness.
• Mentor and lead QE managers, test leads, architects, and engineering teams.

Stakeholder Management

• Collaborate with Business, Product, Engineering, Architecture, and Operations teams.
• Present delivery status, risks, and AI transformation outcomes to executive stakeholders.
• Drive organizational change management for AI adoption within testing teams.

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 18+ years of experience in Software Testing / Quality Engineering.
• 5+ years in Delivery Management, Program Management, or QE Leadership roles.
• Strong experience in Test Automation frameworks and tools.
• Experience working in Agile, Scrum, SAFe, and DevOps environments.
• Strong stakeholder, vendor, and customer management skills.
• Hands-on knowledge of AI/GenAI technologies and their application in software testing.
• Experience with AI platforms such as:
• OpenAI GPT
• Google Gemini
• AWS AI Services
• Understanding of Machine Learning concepts and AI model lifecycle.
• Knowledge of prompt engineering and AI governance.

Testing & Automation Expertise

• Selenium, Playwright, Cypress, Tosca, UFT, or similar tools.
• API Testing (Postman, Rest Assured, Karate).
• Performance Testing (JMeter, LoadRunner, Gatling).

Preferred Qualifications

• Experience driving AI transformation initiatives within QE organizations.
• Certifications in PMP, SAFe, Scrum, or Quality Engineering.
• Knowledge of responsible AI and AI governance frameworks.
• Experience with enterprise-scale digital transformation programs.
• Strategic Thinking
• Stakeholder Management
• Delivery Excellence
• Problem Solving & Decision Making
• Communication & Executive Presentation Skills

Success Metrics

• Increase in test automation coverage and efficiency.
• Reduction in test execution cycle time.
• Improved defect detection and quality metrics.
• Successful adoption of AI-powered QE practices.
• Consistent on-time delivery of programs and releases.
• Measurable ROI from AI-driven testing initiatives.

Ideal Profile: A seasoned QE leader who can bridge Quality Engineering, Program Management, and Artificial Intelligence to transform traditional testing organizations into AI-enabled, highly efficient quality engineering teams.