Sr. Director, Testing & Quality Engineering. Evinova at AstraZeneca

AstraZeneca

Barcelona

Presencial

EUR 80.000 - 120.000

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Flexible working arrangements
Substantial paid leave
Health and travel insurance

Descripción de la vacante

AstraZeneca is seeking a Sr. Director for Testing & Quality Engineering in Barcelona. This role involves consolidating and leading a distributed testing function into a high-performing organization. Candidates should possess a blend of strategic leadership and technical expertise, focusing on establishing testing standards, driving test automation, and collaborating across functions.

The ideal candidate will have over 8 years of experience in quality engineering and a proven ability to unify testing efforts within a regulated software environment. A degree in Engineering or Computer Science is required. Benefits include flexible work arrangements and comprehensive employee benefits.

Formación

  • 8+ years in quality engineering or product engineering with at least 3 years in a senior role.
  • Proven record in building test automation programs.
  • Knowledge of GxP and requirements traceability in regulated environments.

Responsabilidades

  • Build and lead the testing function across squads and products.
  • Define GA-readiness standards for the product portfolio.
  • Drive the shift to automated functional testing.

Conocimientos

Quality engineering
Test automation
AI/ML evaluation frameworks
Leadership
Collaboration

Educación

Bachelor’s or Master’s degree in Engineering or Computer Science

Descripción del empleo

Sr. Director, Testing & Quality Engineering at Evinova (AstraZeneca)

We are looking for a hands‑on testing leader who can consolidate a distributed testing function that has not succeeded, build it into a coherent high‑performing organization, and run it all at the same time.

About the Role

This role requires blending strategic leadership with deep technical expertise to establish a unified testing function across the product portfolio, embedding quality and AI capabilities throughout the delivery cycle.

Key Responsibilities
  • Build and lead the testing function: Consolidate testing teams across squads and products into a unified function and establish a leadership layer.
  • Define what “Done” means: Own the standards that define GA‑readiness across the product portfolio and hold the line across all products.
  • Drive test automation: Own the shift from manual to automated functional testing, set the automation roadmap, make framework and tooling decisions, and drive progress in coverage and quality.
  • Maintain traceability and audit readiness: Maintain requirements‑to‑test traceability infrastructure required under GxP frameworks.
  • Build the AI evaluation practice: Define how AI capabilities embedded in products are tested at release and monitored in production, building evaluation frameworks, model regression testing, and output validation.
  • Embed AI into the testing workflow: Use AI tooling to accelerate test generation, coverage analysis, and QA workflows.
  • Define and own quality metrics: Establish a metrics framework to measure automation coverage, defect trends, release quality, and AI evaluation outcomes.
  • Partner across functions: Collaborate with squads, product, quality, and delivery teams to embed quality earlier in the cycle, reduce rework, and improve release confidence.
Minimum Qualifications
  • 8+ years in quality engineering, software engineering, or product engineering, with at least 3 years leading a quality or testing function at senior level.
  • Proven track record building test automation programs from low maturity.
  • Demonstrated ability to consolidate fragmented testing functions across multiple teams supporting multiple products.
  • Knowledge of GxP and requirements traceability in a regulated software environment.
  • Hands‑on experience with modern test automation frameworks and CI/CD integration.
  • Experience defining or operating evaluation frameworks for AI/ML features in production, or building new technical practices from scratch.
  • Bachelor’s or Master’s degree in Engineering, Computer Science, or equivalent demonstrated through professional experience.
Desired Qualifications
  • Experience with electronic Clinical Outcome Assessments (eCOA), patient‑facing clinical trial software, or similar regulated healthtech.
  • Hands‑on experience with LLM evaluation frameworks, model monitoring, or agentic AI quality practices.
  • Familiarity with ALCOA+ data integrity principles in a regulated software environment.
  • Clinical research domain knowledge.
This Role Is Not

A pure people‑management position where quality engineering runs itself and you attend meetings; an audit‑only compliance function; or a tools‑only role that optimises frameworks in isolation from delivery. The role requires deep hands‑on expertise in test architecture and automation pipelines, and leadership across multiple products.

Equal Opportunity Employer

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry‑leading skills. We welcome and consider applications from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non‑discrimination in employment.

Benefits Summary

Flexible working arrangements, including remote work and reduced‑hours timetables; substantial paid leave policy, annual leave, and unpaid leave; retirement plan, long‑service award; health and travel insurance; and other employee benefits.

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