Quality Engineering Transformation Leader - API Testing

Job Description : Quality Engineering Transformation LeaderThe 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 ecosystems3. Test Data Management, Cloud testing, Environment strategy4. 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 improvement2. Defect trends3. Cost of quality4. Test efficiency & cycle time5. 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 generation2. Automated test data creation3. Intelligent failure/root-cause analysis4. 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, Java2. API Automation (REST Assured, Karate, Postman)3. Performance (JMeter, LoadRunner)4. Cloud-native testing (Azure, AWS, GCP)5. Test orchestration, CI/CD pipelines6. TDM, environment strategy, observability tools2. 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. (ref:hirist.tech)