Job Description : Quality Engineering Transformation Leader

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

This leader is expected to operate at CXO-facing levels, influence senior stakeholders, and navigate Clients 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.

Key Responsibilities :

1. Lead QE Transformations :

- Architect and drive end-to-end QE & Testing transformation aligned to Clients engineering, digital, and modernization roadmap.

- Define and own QE operational model evolution, embedding continuous testing, shift-left, shift-right, DevOps 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.).

2. Technical Leadership & Engineering Excellence :

- Bring exceptionally deep technical expertise across:

1. Automation frameworks (UI, API, Mobile, Performance, CI/CD)

2. Architecture-level understanding of QE tooling and engineering ecosystems

3. Test Data Management, Cloud testing, Environment strategy

4. 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.

3. Strong Executive Communication & Stakeholder Management :

- Present complex technical concepts clearly to Clients 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 Clients stakeholder landscape challenge decisions, influence strategy, and drive alignment.

4. Data-Driven Delivery, Productivity & Value Tracking :

- Establish KPIs, productivity metrics, and value dashboards for QE across programs.

Lead analytics-driven decision-making on :

1. Productivity improvement

2. Defect trends

3. Cost of quality

4. Test efficiency & cycle time

5. Automation ROI

- Ensure transparency in reporting to Clients leadership with clear action plans.

5. Leadership of Large, Multi-Disciplinary QE Teams :

- 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.

6. Drive AI/GenAI Adoption in QE :

Implement GenAI levers such as :

1. AI-assisted script generation

2. Automated test data creation

3. Intelligent failure/root-cause analysis

4. AI-driven regression optimization

- Evaluate and integrate Clients tool chain, aligning QE innovation with Clients AI architecture direction.

Required Skills & Experience :

1. Technical Expertise (Exceptional Level) :

- 1520+ years in QE engineering, transformation, and automation leadership.

Mastery of :

1. Playwright, Appium, Selenium, Cypress, Java

2. API Automation (REST Assured, Karate, Postman)

3. Performance (JMeter, LoadRunner)

4. Cloud-native testing (Azure, AWS, GCP)

5. Test orchestration, CI/CD pipelines

6. TDM, environment strategy, observability tools

2. Leadership & Behavioral :

- 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.

3. Transformation & Consulting Skills :

- 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.