Chief Enterprise Architect

Overview

As Chief Enterprise Architect, you shape AstraZeneca’s technology future by aligning data, AI and engineering with business and scientific goals. You will lead the enterprise architecture strategy across platforms, AI, cloud and digital products, enabling autonomous teams to innovate safely at scale. You establish reusable patterns and guardrails to accelerate delivery while reducing complexity and risk. You’ll partner with executive leaders to drive measurable business and patient outcomes and contribute to a transformation of the digital ecosystem.

Responsibilities

• Define and evolve the enterprise technology strategy, principles and investment priorities across platforms, data, AI and digital products
• Establish lightweight guardrails and platform thinking to enable fast delivery with enterprise coherence
• Advise the CIO and senior leaders on strategic technology choices and risk-aware decisions
• Define and implement enterprise AI architecture and reusable AI platforms, services and patterns
• Champion platform engineering, API-first architecture and self-service capabilities to improve developer experience
• Lead multi-year digital product and business transformation programs aligned to R&D, clinical, manufacturing, commercial and corporate needs
• Embed security, privacy, resilience, GxP and regulatory compliance into technology design while maintaining speed-to-value
• Build and nurture a high-caliber technology strategy and architecture community and foster a culture of curiosity, collaboration and speed-to-value

Key requirements

• Significant senior technology leadership experience in a global, complex organization
• Experience shaping strategy across cloud, data, AI, platforms and digital products
• Track record enabling product and engineering teams via platforms, patterns and guardrails
• Experience operating in regulated environments and influencing C-suite stakeholders
• Ability to translate technology strategy into measurable business outcomes

• Strategic thinking
• Executive influence and storytelling
• Cross-functional collaboration
• Platform thinking and API-first architecture
• AI and digital fluency
• Cloud, data and AI integration across enterprise

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