ABOUT THE OPERATIONS IT TEAM

Join our global Operations IT team, supporting diverse areas such as Pharmaceutical Technology Development, Manufacturing & Global Engineering, and more. We combine cutting-edge science with leading digital technology platforms and data, impacting lives through advancements in data, analytics, and AI. Embrace a dynamic environment with endless opportunities for learning and growth.

ROLE OVERVIEW

We´re seeking a technical, forward-thinking Data & AI Platform Engineer to drive the evolution of our enterprise data ecosystem. You´ll be an expert in driving transformation across Data Platforms, applying an ML/Data-Ops mindset with a forte in ETL, Warehousing, Observability and Data Quality.

This role goes beyond platform stewardship - it´s about embedding AI and GenAI into the fabric of our operations, enabling intelligent automation, cost optimization, and trusted data delivery. You´ll lead the charge in transforming how data is provisioned, governed, and consumed across AstraZeneca, ensuring platforms are scalable, compliant, and future-ready.

RESPONSIBILITIES

Platform Enablement & Improvement

- Lead the design and execution of a comprehensive improvement plan covering:

- 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

Delivery Leadership & Quality Assurance

- Oversee end-to-end delivery of platform initiatives, ensuring alignment with business goals, timelines, and KPIs.

- Embed robust quality assurance practices to uphold data integrity, security, and operational resilience.

Platform Strategy & Road Mapping

- Partner with Data, Analytics & AI domain leads and BAU teams to synthesize project demand, pain points, and strategic priorities into a quarterly roadmap.

- Champion platform maturity through iterative planning, stakeholder engagement, and outcome-driven delivery.

Qualifications & Experience

- Exceptional communication skills and high fluency in English, with the ability to influence across technical and non-technical audiences.

- ETL experience is essential, moving Data at Scale with Streaming experience is advantageous.

- Applies a DataOps and MLOps mindset in operationalising Data into Data Products.

- 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 Gen-AI, Agentic solutions and MCP highly advantageous.

- Exposure working with Data Models and DBT desirable.

- Proactive and self-motivated.

- Skilled in stakeholder management, team leadership, and driving cross-functional collaboration.

- Experience in AWS is highly desirable.

WHY JOIN US

Be part of an impactful journey to transform AstraZeneca into a digital and data-led enterprise. With significant backing for success, we are committed to diversity, inclusion, and lifelong learning. Unleash your entrepreneurial spirit and make meaningful contributions to medicine and patient care.