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Test Triangle

Test Director

London
Posted 4 months ago
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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 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.

Key Responsibilities

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, 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.).

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Technical Leadership & Engineering Excellence

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.

Strong Executive Communication & Stakeholder Management

  • 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.

Data-Driven Delivery, Productivity & Value Tracking

  • 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.

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Leadership of Large, Multi-Disciplinary QE Teams

  • Managed team size of 300+ in large programs in multi-year engagements.
  • 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.

Drive AI/GenAI Adoption in QE

  • Evaluate and integrate Client’s toolchain, aligning QE innovation with Client’s AI architecture direction.

Required Skills & Experience

Technical Expertise (Exceptional Level)

  • 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, LoadRunner)
    • Cloud-native testing (Azure, AWS, GCP)
    • Test orchestration, CI/CD pipelines
    • 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...
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Skills

Quality Engineering Transformation
Automation Frameworks
GenAI Adoption
Stakeholder Management
CI/CD Pipelines
Test Data Management
Performance Testing
Cloud Native Testing
Playwright
Appium
Selenium
Cypress
Java
REST Assured
JMeter
LoadRunner

Location

London, England, United Kingdom

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