Quality Engineering Leader

We are seeking an accomplished QE Leader with a proven track record of leading large‑scale, complex quality transformations across digital, cloud, data, and enterprise platforms. The ideal candidate brings a strong point of view on AI‑driven Quality Engineering, is comfortable shaping QE strategy for transformation programs, and has extensive client‑facing leadership experience, partnering with business and technology stakeholders at senior levels.

This role demands a blend of technical depth, strategic thinking, transformation leadership, and executive communication.

Key Responsibilities

1. QE Strategy & Transformation Leadership

• Lead end‑to‑end Quality Engineering transformations for complex, multi‑year programs across digital, cloud, legacy modernization, and data platforms.
• Define and drive QE vision, operating models, and roadmaps aligned to enterprise‑wide transformation initiatives.
• Transition organizations from traditional QA to modern QE models (shift‑left, shift‑right, continuous quality, DevOps / DevSecOps).
• Establish quality as a business enabler, embedding it across the SDLC rather than as a downstream activity.

2. AI & Intelligent QE – Thought Leadership

• Develop and articulate a clear POV on AI and GenAI adoption in the QE landscape, including benefits, risks, and practical implementation.
• Drive adoption of AI‑led QE capabilities, such as:
• Intelligent test design and optimization
• Self‑healing automation
• Predictive defect analytics
• AI‑assisted test data management
• GenAI‑enabled test creation, review, and maintenance
• Assess tooling, platforms, and AI accelerators, recommending fitment aligned to transformation goals.
• Ensure responsible and scalable AI adoption, addressing data privacy, explainability, and governance concerns in QE.

3. Technical Delivery & Engineering Excellence

• Provide hands‑on leadership for complex technical delivery, ensuring high quality across architectures such as:
• Cloud‑native and microservices platforms
• API‑first and event‑driven ecosystems
• Mobile, web, and omnichannel applications
• Data, analytics, and AI/ML platforms
• Champion automation‑first and quality‑engineering‑first approaches across functional, non‑functional, and production quality.
• Drive standards for performance, security, resilience, and production validation (including SRE and shift‑right practices).
• Ensure measurable outcomes using quality KPIs, business impact metrics, and transformation success indicators.

4. Client‑Facing & Stakeholder Leadership

• Act as a trusted advisor to clients, engaging with CXOs, engineering leaders, and business stakeholders.
• Lead executive‑level conversations on quality, risk, transformation readiness, and AI adoption in QE.
• Translate complex QE, AI, and engineering concepts into business‑aligned narratives and value propositions.
• Own client success, relationship management, and delivery governance for large engagements.
• Support presales, solution shaping, and transformation consulting, including RFPs and proposals.

5. Organization Building & Talent Development

• Build and scale high‑performing QE organizations with strong engineering and transformation mindset.
• Mentor senior QE leaders, architects, and managers across programs and geographies.
• Drive capability development in automation, AI‑led QE, DevOps, and emerging technologies.
• Foster a culture of innovation, accountability, and continuous improvement.

Required Experience & Qualifications

• 18+ years of experience in Quality Engineering, with significant leadership exposure on large transformation programs.
• Proven experience leading complex, enterprise‑scale technical delivery across modern and legacy landscapes.
• Strong understanding of AI/ML and GenAI applications in QE, with a well‑articulated enterprise POV.
• Deep expertise in automation frameworks, DevOps/CI‑CD integration, and non‑functional testing.
• Extensive client‑facing experience, including executive stakeholder management and advisory roles.
• Experience working in global delivery models and matrixed organizations.

Desired Attributes

• Strategic thinker with transformation mindset
• Strong consulting and storytelling skills
• Comfortable navigating ambiguity and large‑scale change
• Outcome‑oriented leader with business acumen
• Passionate about innovation, AI, and the future of Quality Engineering