Head of Enterprise Platform Engineering & AI

AstraZeneca

Cambridge

On-site

GBP 140,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Office in Cambridge

Flexible working

Job summary

AstraZeneca in Cambridge, UK, invites applications for Head of Enterprise Digital Engineering to design and scale the digital platforms that accelerate life-changing medicines. You will lead strategy, product direction, and platform engineering across cloud, data, AI, APIs, and developer experience to empower teams to build, deploy and scale safely and efficiently.

You will build a global forward-deployed engineering capability, establish platform as a product, drive adoption, measure outcomes,

Qualifications

Significant senior leadership experience across digital platforms, platform engineering, cloud services or enterprise technology products.
Demonstrated experience building, scaling or operating shared technology platforms in a large, complex organisation.
Track record of enabling product and engineering teams through reusable platforms, automation and self-service capabilities.
Experience leading multidisciplinary platform product, engineering and operational teams.
Demonstrated accountability for platform roadmaps, investment decisions, service performance and customer outcomes.
Experience improving developer experience and reducing delivery friction for product and engineering teams.
Experience managing platform resilience, security, lifecycle, cost and operational performance.
Experience scaling cloud, data, integration, API or AI capabilities across an enterprise.
Ability to influence C-suite partners and translate platform investment into measurable business outcomes.
Experience operating successfully in a regulated, security-conscious or highly complex environment.

Responsibilities

Define and execute an enterprise platform strategy aligned to business and technology priorities.
Establish a product-led approach for platform development and service delivery.
Build and evolve platforms that accelerate delivery and reduce duplication.
Create and scale a global forward deployment workforce across cloud, data and APIs.
Lead the strategy, development and deployment of AI for technology and platform enablement.
Establish clear service ownership, reliability and cost measures.
Drive measurable adoption and value through platform usage and customer outcomes.