We are seeking an experienced and visionary leader to join our team as the Technical Data&AI Platform Owner in our Operations IT department. This role will be instrumental in shaping and implementing our data and analytics strategy to support business objectives and achieve our 2030 vision.
This role will play a pivotal role in developing and maintaining an integrated data ecosystem, leveraging advanced analytics to drive business insights, and ensuring data quality and security across our operations while efficiently managing AstraZeneca resources.
The successful candidate will lead a high-performing team responsible for designing, implementing, and maintaining robust data infrastructure and analytics capabilities.
Key Responsibilities:
Strategy and Leadership
Collaborate with AstraZeneca Operations leadership and business partners to define and execute the data and analytics platform strategy aligned with operations business goals.
Manage and lead a team of data and IT professionals, fostering a collaborative and innovative work environment.
Data Infrastructure and Architecture
Oversee the design, implementation, and maintenance of a scalable, self- optimising data infrastructure on AWS.Ensure the reliability, performance, and security of data platforms to comply with AstraZeneca enterprise standards.
Implement and manage platform operations and cloud resources, focusing on cost optimization and operational efficiency through a mature DevOps model.
Lead the design and execution of a comprehensive improvement plan covering for the DA&AI technology stack:
New platform provisioning and onboarding
Usage analytics and cost transparency
Standards, governance, and regulatory compliance
User enablement through guides, documentation, and training
Change management and communications
FinOps and cost optimization strategies
Automation and process reengineering
Industrialization of data products and pipelines
Adoption tracking and continuous feedback loops
Data & Infrastructure Observability Platform
Develop, communicate, and implement an observability platform for five key pillars: Data Quality, Pipeline, Infrastructure, User, and Cost.
Implement strategy to reduce AWS and snowflake costs.
Innovation and Continuous Improvement
Stay abreast of industry trends, emerging technologies, and best practices in data and analytics within the pharmaceutical sector.
Look to use the latest technologies in AI agentic frameworks to deliver a self-healing and self-optimising data platforms.
Qualifications
Extensive experience in CloudOps, DevOps, DataOps and infrastructure setup and maintenance
Deep expertise in Snowflake and Fivetran, plus hands-on experience with at least two of the following: DataOps.live, Confluent (Kafka), SnapLogic, Cognite, Aera, Apache Iceberg, Neo4j.
Proven success in delivering platform enhancements and cost savings within Snowflake and adjacent technologies.
Experience with observability, Cataloguing, Quality and integration tools
10+ years of proven experience in a leadership role overseeing data and analytics functions, preferably in the pharmaceutical industry.
Scaled Agile / Scrum methodology experience.
The ideal candidate will combine technical expertise with strategic vision, driving innovation in data and analytics to support our pharmaceutical operations and ultimately improve patient outcomes.
Date Posted
06-nov-2025Closing Date
27-nov-2025AstraZeneca 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.