Are you ready to set the global agenda for cloud hosting and HPC that accelerates discovery and delivery while safeguarding continuity and compliance This is a chance to create and run platforms that power sophisticated science AI and manufacturing at scale. Our teams can move faster with confidence and patients benefit sooner. Could you translate platform strategy into measurable gains in R&D cycle time AI velocity and manufacturing resilience
You will lead the multi-year modernization of our hybrid and multi-cloud estate unify on-premises and cloud-native capabilities and enable secure enterprise-grade machine intelligence and information platforms. Working across continents with diverse high-caliber teams you will set standards drive adoption and turn complexity into simplicitylinking architecture decisions directly to business outcomes.
Partnering with leaders across research production sales and corporate areas you will build trust through transparency operational excellence and clear economic models. Your leadership will connect platform reliability and cost rigor to scientific efficiency and product availability ensuring our technology foundations unlock the full potential of our data-driven ambitions.
Accountabilities:
Platform Strategy and Modernization: Define and complete a multi-year plan for various cloud infrastructures and server management solutions. Align this strategy with central goals in R&D acceleration AI enablement production stability expense management and adherence to regulatory standards. Define destination architectures and strategic plans for integrating regions and uniform frameworks in cloud environment. Also define plans for dedicated virtual infrastructures along with updates to virtualization technologies physical compute systems and storage improvements that incorporate data backup and cybersecurity restoration.
Cloud Adoption and Migration: Drive appropriate cloud adoption through analyzing workload distribution placement criteria architectural frameworks and migration hubs encompassing updates to applications and data systems to deliver speed reliability and cost transparency.
Artificial intelligence machine learning and Data Platform Enablement provide robust production-level infrastructure for processing and storing data in support of intelligent algorithms and sophisticated data analysis. This encompasses GPU-accelerated environments and adaptable data repositories built to support model training and prediction tasks. Connect platform services to MLOps toolchains and organizational monitoring systems. Support emerging patterns like hosting for large language model inference vector-based retrieval and data pipelines capable of handling high volumes. Ensure architectures are compliant and controls are automated.
High Performance Computing and Scientific Compute: Lead the planning and management of HPC activities across on-premises infrastructure and cloud environments supporting computational experiments predictive analytics biological data analysis chemical data processing and large-Scale data research. Drive performance scalability efficiency and improvement of queue management alongside maintaining system integrity regulatory standards and reliable reproducibility and guide modern HPC techniques such as dynamic cloud bursting container-based processes hardware-accelerated computing and improved high-throughput data storage.
Storage Data Protection and Cyber Resilience: Deliver worldwide storage systems featuring reliable uptime efficient performance comprehensive data lifecycle oversight and financial efficiency. Own backup restoration emergency data retrieval and digital threat incident restoration functions advised by evaluations of business continuity needs and recovery timelines. Partner with Cybersecurity on resilient architectures and prompt handling of ransomware and significant incidents.
Service Delivery Reliability and Operations Excellence: Lead around-the-clock international operations achieving quantifiable improvements in system availability incident minimization and recovery time. Implement resource and efficiency oversight detailed monitoring and observability and operations centered on automation. Own lifecycle management including patching keeping platforms up to date configuration consistency and hardware upgrades. Developed SRE methods incorporating performance targets tolerance thresholds procedural documentation fault-tolerant incident analyses and continuous improvement.
Oversight Risk Management and Regulatory Adherence: Ensure platforms align with statutory quality assurance and internal oversight criteria including GxP where applicable. Embed infrastructure-as-code governance traceable audit documentation methodical change oversight and thorough supplier risk management. Partner with Quality Risk Legal and Security to manage platform risks and remediation.
Financial Management and Commercial Optimization: Manage platform financial resources and demonstrate value through transparent cost-to-serve and service consumption models. Operationalize cost management practices for cloud consumptionincluding showback/chargeback financial efficiency analysis capacity adjustment planning around dedication and forecast accuracy. Optimize agreements and permissions with external suppliers and build cases for modernization resiliency AI acceleration and capacity growth.
Leadership Talent and Stakeholder Management: Lead and develop global teams across cloud engineering hosting/virtualization storage backup/DR HPC/scientific compute and platform operations. Build a high-performing culture grounded in safety accountability automation and continuous learning. Serve as a trusted advisor to senior leaders translating platform capabilities into measurable business outcomes.
Essential Skills/Experience:
Proven track record to establish and deliver a multi-year strategy for hybrid/multi-cloud and hosting services. The strategy supports business priorities such as R&D AI manufacturing continuity cost control and regulatory compliance. ance.
Track record establishing target architectures and roadmaps for public cloud landing zones and standardized patterns private cloud and virtualization modernization on-premises compute platforms and storage modernization including backup and data restoration strategies.
Demonstrated experience driving cloud adoption via workload rationalization placement standards reference architectures and migration factories including application and data modernization.
Expertise in delivering enterprise-grade systems for processing power and data management in AI/ML and advanced analytics. These systems include GPU-enabled platforms and scalable storage for training and inference.
Experience delivering secure environments for sensitive R&D patient and regulated data aligned to privacy residency and quality requirements.
Ability to integrate platform services with MLOps toolchains (CI/CD model registry monitoring) and enterprise observability.
Experience supporting emerging AI patterns such as LLM inference hosting vector search and high-throughput data pipelines with compliant architectures automated controls and operational readiness.
Proven partnership with Data and AI leadership to operationalize governance cost controls and responsible use requirements for AI workloads.
Ownership of HPC strategy and operations across on-premises and cloud HPC enabling simulation modeling bioinformatics cheminformatics and data-intensive research.
Demonstrated capability to drive HPC performance scalability throughput and queue optimization while maintaining security compliance and reproducibility and to lead modern HPC patterns including elastic burst-to-cloud containerized workflows GPU acceleration and optimized high-throughput storage.
Experience delivering global storage platforms with high availability performance data lifecycle management and budget-conscious operations (tiering archiving data reduction).
Ownership of backup restore disaster recovery and cyber incident restoration capabilities aligned to business impact analyses and RTO/RPO requirements and effective response to ransomware and major incidents in partnership with Cybersecurity.
Manage worldwide 24x7 operations for cloud and hosting platforms. This includes improving availability reducing incidents speeding recovery managing capacity and performance standardizing oversight and diagnostics and prioritizing automation.
End-to-end lifecycle management experience including patching platform currency configuration compliance and hardware refresh with mature SRE practices (SLOs error budgets runbooks blameless postmortems continuous improvement).
Strong governance risk and compliance acumen ensuring platforms meet regulatory quality and internal control requirements (including GxP) with policy-as-code audit-ready evidence focused change management and robust third-party/vendor assurance.
Financial leadership owning platform budgets and operationalizing FinOps for cloud consumption (showback/chargeback unit economics rightsizing commitments/reservations forecast accuracy) with a record of optimizing vendor contracts and licensing and building investment cases.
Executive leadership of global engineering and operations teams encouraging a culture of protection responsibility mechanization and ongoing development. Act as a trusted partner to senior collaborators across R&D Manufacturing Commercial and Corporate functions.
Desirable Skills/Experience:
Experience in highly regulated industries with direct exposure to quality audits and validation including GxP contexts.
Background leading major platform transformations that combine on-premises modernization with scaled public cloud adoption using migration factories.
Practical knowledge of AI governance frameworks responsible AI controls and cost optimization for GPU-intensive workloads.
Hands-on familiarity with HPC schedulers containerized scientific workflows and GPU acceleration trade-offs for diverse research workloads.
Proven leadership through significant incidents and cyber recovery events with emphasis on immutable backup designs and segmentation strategies.
Public cloud and FinOps certifications and experience establishing policy-as-code and SRE frameworks at enterprise scale.
Track record influencing at C-suite level simplifying sophisticated platform decisions into clear business outcomes and economic models.
Why AstraZeneca:
Here platform decisions change the speed and quality of science. You will work with unexpected teams in the same roomengineers data scientists security leaders and researchersunleashing bold thinking to power discovery and reliable production. We invest in modern technology pair ambition with kindness and back our people to experiment learn and scale what works. Your work will connect cutting-edge compute and storage to real patient impact while you grow with a diverse inclusive community that values transparency high standards and cross-boundary collaboration.
Call to Action:
If youre ready to lead infrastructure and hosting environments that accelerate science enable AI at scale and harden our operations for whats next step forward and lead this transformation with us!
Date Posted
06-Feb-2026
Closing Date
19-Feb-2026
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 believe that the more inclusive we are the better our work will be. We welcome and consider applications to join our team from all qualified candidates regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment) as well as work authorization and employment eligibility verification requirements.