Quality Engineering Transformation Leader

The Quality Engineering (QE) Technical & Transformational Leader

The Quality Engineering (QE) Technical & Transformational Leader is a pivotal senior responsible for driving QE modernization, technical excellence, and large-scale transformation across Client's multi-platform, multi-portfolio environment.

This leader is expected to operate at CXO-facing levels, influence senior stakeholders, and navigate Client's complex environment with confidence, data-backed recommendations, and strong communication.

This role combines deep technical authority, strategic consulting, transformation ownership, and organizational leadership, ensuring QE becomes a value-generating, data-driven engineering discipline for Clients.

This leader will be crucial in:

• Turning QE into a value-producing function, not just execution.
• Bringing engineering discipline, data-first thinking, and performance culture.
• Steering conversations with Client leadership with technical depth and strategic authority.
• Enabling Wipro to strengthen and stabilize the long-term partnership with Client through excellence and innovation.

• Lead QE Transformations:
  Architect and drive end-to-end QE & Testing transformation aligned to Client's engineering, digital, and modernization roadmap.
• Define and own QE operational model evolution, embedding continuous testing, shift-left, shift-right, Dev Ops alignment, automation-first culture, and AI/GenAI adoption.
• Identify and drive transformation levers such as automation scaling, test data modernization, environment optimization, and productivity uplift.
• Partner with domain leaders to introduce modern testing practices (in-sprint automation, service virtualization, early performance testing, observability, etc.).

Bring exceptionally deep technical expertise across:

• Automation frameworks (UI, API, Mobile, Performance, CI/CD)
• Architecture-level understanding of QE tooling and engineering ecosystems
• Test Data Management, Cloud testing, Environment strategy
• GenAI-powered test design, data creation, failure analysis

Build and govern standard frameworks, reusable assets, accelerators, and next-gen engineering solutions.

Evaluate, propose, and institutionalize new tooling, frameworks, and engineering approaches through innovation, benchmarking, and continuous improvement.

• Present complex technical concepts clearly to Client's senior leadership, including CIO, CTO, QE Heads and Portfolio Directors.
• Navigate challenging conversations with clarity, data, confidence, and strategic storytelling, especially in performance, productivity, and transformation reviews.
• Ability to throw weight effectively in Client's stakeholder landscape-challenge decisions, influence strategy, and drive alignment.

• Establish KPIs, productivity metrics, and value dashboards for QE across programs.
• Lead analytics-driven decision-making on productivity improvement, defect trends, cost of quality, test efficiency & cycle time.
• Automation ROI:
  Ensure transparency in reporting to Client's leadership with clear action plans.

• Managed team-size of 300+ in large programs in multi-years engagement.
• Lead distributed teams across functional, automation, performance, environmental, TDM, release engineering, and AI-QE capabilities.
• Mentor QE leaders, architects, and managers to uplift skills, competency, and engineering maturity.
• Align teams to outcome-driven delivery, not just lights-on operations.

• Evaluate and integrate Client's tool chain, aligning QE innovation with Client's AI architecture direction.

20-25+ years in QE engineering, transformation, and automation leadership.

Mastery of:

• Playwright, Appium, Selenium, Cypress, Java
• API Automation (REST Assured, Karate, Postman)
• Performance (JMeter, Load Runner)
• Cloud-native testing (Azure, AWS, GCP)
• Test orchestration, CI/CD pipelines
• TDM, environment strategy, observability tools

• Outstanding communication, influence, and executive presence.
• Proven ability to operate in demanding, politically dynamic client environments (such as Client).
• Strong analytical and problem-solving capability; able to translate data into action plans.
• Resilient, proactive, and assertive in driving change across large stakeholder groups.

• Demonstrated experience building QE roadmaps, maturity models, organization realignment frameworks.
• Ability to identify opportunities to embed QE transformation proactively, even in restrictive or legacy environments.
• Consulting mindset: ability to influence programs, portfolio, and enterprise levels.