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 largescale transformation across Clients multiplatform multiportfolio environment.
This leader is expected to operate at CXOfacing levels influence senior stakeholders and navigate Clients complex environment with confidence databacked recommendations and strong communication.
This role combines deep technical authority strategic consulting transformation ownership and organizational leadership ensuring QE becomes a valuegenerating datadriven engineering discipline for Clients.
This leader will be crucial in:
Turning QE into a valueproducing function not just execution.
Bringing engineering discipline datafirst thinking and performance culture.
Steering conversations with Client leadership with technical depth and strategic authority.
Enabling Wipro to strengthen and stabilize the longterm partnership with Client through excellence and innovation.
Key Responsibilities
Lead QE Transformations
Architect and drive endtoend QE & Testing transformation aligned to Clients engineering digital and modernization roadmap.
Define and own QE operational model evolution embedding continuous testing shiftleft shiftright DevOps alignment automationfirst 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 (insprint automation service virtualization early performance testing observability etc.).
Technical Leadership & Engineering Excellence
Bring exceptionally deep technical expertise across:
Automation frameworks (UI API Mobile Performance CI/CD)
o Architecturelevel understanding of QE tooling and engineering ecosystems
o Test Data Management Cloud testing Environment strategy
o GenAIpowered test design data creation failure analysis
Build and govern standard frameworks reusable assets accelerators and nextgen engineering solutions.
Evaluate propose and institutionalize new tooling frameworks and engineering approaches through innovation benchmarking and continuous improvement.
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 landscapechallenge decisions influence strategy and drive alignment.
DataDriven Delivery Productivity & Value Tracking
Establish KPIs productivity metrics and value dashboards for QE across programs.
Lead analyticsdriven decisionmaking on Productivity improvement Defect trends Cost of quality Test efficiency & cycle time
Automation ROI
Ensure transparency in reporting to Clients leadership with clear action plans.
Leadership of Large MultiDisciplinary QE Teams
Managed team-size of 300 in large programs in multi-years engagement.
Lead distributed teams across functional automation performance environmental TDM release engineering and AIQE capabilities.
Mentor QE leaders architects and managers to uplift skills competency and engineering maturity.
Align teams to outcomedriven delivery not just lightson operations.
Drive AI/GenAI Adoption in QE
Evaluate and integrate Clients tool chain aligning QE innovation with Clients AI architecture direction.
Required Skills & Experience
Technical Expertise (Exceptional Level)
2025 years in QE engineering transformation and automation leadership.
Mastery of:
o Playwright Appium Selenium Cypress Java
o API Automation (REST Assured Karate Postman)
o Performance (JMeter LoadRunner)
o Cloudnative testing (Azure AWS GCP)
o Test orchestration CI/CD pipelines
o TDM environment strategy observability tools
Leadership & Behavioral
Outstanding communication influence and executive presence.
Proven ability to operate in demanding politically dynamic client environments (such as Client).
Strong analytical and Required Skills:
Snowflake
Job Description Norwich 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 largescale transformation across Clients multiplatform multiportfo...
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 largescale transformation across Clients multiplatform multiportfolio environment.
This leader is expected to operate at CXOfacing levels influence senior stakeholders and navigate Clients complex environment with confidence databacked recommendations and strong communication.
This role combines deep technical authority strategic consulting transformation ownership and organizational leadership ensuring QE becomes a valuegenerating datadriven engineering discipline for Clients.
This leader will be crucial in:
Turning QE into a valueproducing function not just execution.
Bringing engineering discipline datafirst thinking and performance culture.
Steering conversations with Client leadership with technical depth and strategic authority.
Enabling Wipro to strengthen and stabilize the longterm partnership with Client through excellence and innovation.
Key Responsibilities
Lead QE Transformations
Architect and drive endtoend QE & Testing transformation aligned to Clients engineering digital and modernization roadmap.
Define and own QE operational model evolution embedding continuous testing shiftleft shiftright DevOps alignment automationfirst 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 (insprint automation service virtualization early performance testing observability etc.).
Technical Leadership & Engineering Excellence
Bring exceptionally deep technical expertise across:
Automation frameworks (UI API Mobile Performance CI/CD)
o Architecturelevel understanding of QE tooling and engineering ecosystems
o Test Data Management Cloud testing Environment strategy
o GenAIpowered test design data creation failure analysis
Build and govern standard frameworks reusable assets accelerators and nextgen engineering solutions.
Evaluate propose and institutionalize new tooling frameworks and engineering approaches through innovation benchmarking and continuous improvement.
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 landscapechallenge decisions influence strategy and drive alignment.
DataDriven Delivery Productivity & Value Tracking
Establish KPIs productivity metrics and value dashboards for QE across programs.
Lead analyticsdriven decisionmaking on Productivity improvement Defect trends Cost of quality Test efficiency & cycle time
Automation ROI
Ensure transparency in reporting to Clients leadership with clear action plans.
Leadership of Large MultiDisciplinary QE Teams
Managed team-size of 300 in large programs in multi-years engagement.
Lead distributed teams across functional automation performance environmental TDM release engineering and AIQE capabilities.
Mentor QE leaders architects and managers to uplift skills competency and engineering maturity.
Align teams to outcomedriven delivery not just lightson operations.
Drive AI/GenAI Adoption in QE
Evaluate and integrate Clients tool chain aligning QE innovation with Clients AI architecture direction.
Required Skills & Experience
Technical Expertise (Exceptional Level)
2025 years in QE engineering transformation and automation leadership.
Mastery of:
o Playwright Appium Selenium Cypress Java
o API Automation (REST Assured Karate Postman)
o Performance (JMeter LoadRunner)
o Cloudnative testing (Azure AWS GCP)
o Test orchestration CI/CD pipelines
o TDM environment strategy observability tools
Leadership & Behavioral
Outstanding communication influence and executive presence.
Proven ability to operate in demanding politically dynamic client environments (such as Client).
Strong analytical and Required Skills:
Snowflake
View more
View less