This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
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.
Job Responsibility:
Lead QE Transformations
Architect and drive end‑to‑end QE & Testing transformation
Define and own QE operational model evolution
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
Technical Leadership & Engineering Excellence
Build and govern standard frameworks, reusable assets, accelerators, and next‑gen engineering solutions
Evaluate, propose, and institutionalize new tooling, frameworks, and engineering approaches
Strong Executive Communication & Stakeholder Management
Present complex technical concepts clearly to Client’s senior leadership
Navigate challenging conversations with clarity, data, confidence, and strategic storytelling
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
Ensure transparency in reporting to Client’s leadership with clear action plans
Leadership of Large, Multi‑Disciplinary 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 AI‑QE capabilities
Mentor QE leaders, architects, and managers to uplift skills, competency, and engineering maturity
Align teams to outcome‑driven delivery
Drive AI/GenAI Adoption in QE
Evaluate and integrate Client’s tool chain, aligning QE innovation with Client’s AI architecture direction
Requirements:
20-25+ years in QE engineering, transformation, and automation leadership