Global Enterprise Architect — Pharma Tech & AI/ML

AstraZeneca; Barcelona; Presencial; EUR 110.000 - 170.000; Jornada completa

Descripción de la vacante

AstraZeneca seeks an experienced Enterprise Architect to lead end-to-end architecture across pharmaceutical tech, QC, and QA. You will connect datasets, AI/ML solutions, applications, and platforms to clear business outcomes in a highly regulated setting.

You will shape a 1–5 year vision, standardize approaches, and build a resilient technology ecosystem across global sites, enabling faster, safer decisions from lab to release.

Formación

• Demonstrated enterprise design leadership across business, data, AI/ML, and technology in pharma.
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• Ability to define strategy, standards and 1–5 year roadmaps aligned to priorities.

Responsabilidades

• Provide coordinated mentorship across business, data science, and application development.
• Define and own architecture principles, roadmaps, and governance.
• Make and govern strategic architecture decisions balancing speed, risk, and cost.
• Rationalize capabilities to reduce risk and total cost of ownership.
• Engage with steering teams, design authorities, and standards forums for disciplined decision making.
• Spearhead external partnerships and product evaluations to unlock value.
• Lead 5–8 architects; mentor and build communities of practice.

Conocimientos

Enterprise design

Data & AI

Cross-functional leadership

Architecture governance

Strategic roadmaps

GxP compliance

Cloud architecture

Vendor management

Educación

Advanced degree or equivalent experience

Herramientas

EA tooling (LeanIX/Ardoq)

Descripción del empleo

AstraZeneca seeks an experienced Enterprise Architect to lead end-to-end architecture across pharmaceutical tech, QC, and QA. You will connect datasets, AI/ML solutions, applications, and platforms to clear business outcomes in a highly regulated setting.

You will shape a 1–5 year vision, standardize approaches, and build a resilient technology ecosystem across global sites, enabling faster, safer decisions from lab to release.