Jobs at AstraZeneca

Lead AstraZeneca’s enterprise data engineering strategy and build a globally federated capability from scratch. Establish standards for data acquisition, storage, transformation, orchestration, automation, governance, lineage, quality, FinOps, security, and regulatory compliance. Build and lead a specialist team, define service tiers and maturity models, and drive adoption through reusable accelerators, education, and self-service capabilities. Partner across data, AI, cloud, architecture, cybersecurity, privacy, finance, legal, and vendors to deliver secure, scalable, cost-efficient data products.

Build enterprise platform capabilities including reusable GitHub Actions, Terraform modules, secure CI/CD pipelines, DevSecOps controls, and developer tooling. Develop Python or Golang automation across AWS, cloud, serverless, containerized, and hybrid environments. Establish testing strategies, security guardrails, documentation, and reference architectures while partnering with engineering, security, architecture, and operations teams to drive adoption and continuous improvement.

Lead the strategy, roadmap, prioritization, adoption, governance, and continuous improvement of an enterprise DevOps platform portfolio serving 20,000–30,000 users. Manage and develop Product Owners, integrate Jira, Confluence, GitHub, GitHub Copilot, and related services, and align platform delivery with security, compliance, architecture, and business goals. Drive enterprise-scale adoption, standardization, usability, and sustainable platform operations while influencing senior stakeholders across technology and business functions.

Build enterprise platform capabilities including reusable GitHub Actions, Terraform modules, secure CI/CD pipelines, DevSecOps controls, and developer tooling. Develop Python or Golang automation across AWS, containerized, serverless, and hybrid environments. Define infrastructure testing strategies, documentation, and reference architectures while partnering with engineering, security, and architecture teams to drive adoption and improve developer experience.

Own the strategy, roadmap, backlog, governance, and adoption of enterprise developer tooling for artifact management, vulnerability intelligence, and static code analysis. Lead golden paths, CI/CD integrations, quality gates, and secure-by-default practices using platforms such as JFrog Artifactory, JFrog Xray, and SonarQube. Partner across engineering, security, compliance, and architecture to improve developer experience, software quality, adoption, and remediation outcomes.

Lead a team of DevOps and platform engineers while owning enterprise engineering platforms and operational service delivery. Drive platform upgrades, migrations, integrations, automation, CI/CD improvements, incident resolution, governance, risk management, and developer productivity initiatives across GitHub, Jira, Confluence, SonarQube, Artifactory, and related tools. Partner with stakeholders globally and apply AI, cloud, Kubernetes, and scripting capabilities to improve reliability and engineering workflows.

Design and build scalable cloud-native full-stack applications, data products, and user experiences supporting antibody discovery. Collaborate with scientists, product, design, data science, and MLOps teams across architecture, data modeling, infrastructure, testing, monitoring, and reliability. Apply modern engineering practices, contribute across the technology stack, improve platform performance, and mentor peers while supporting AI/ML-enabled scientific workflows.

Design, build, deploy, and support enterprise AI assistants, agents, copilots, RAG solutions, and workflow automation. Develop secure integrations, APIs, cloud-native applications, and AWS infrastructure using Terraform. Build CI/CD and DevSecOps automation, monitor production systems, implement governance and Responsible AI controls, and collaborate with stakeholders to scale solutions across the enterprise.

Supports global LIMS and biobank SaaS platforms, integrations, data quality, cloud operations, automation, incident management, releases, and vendor coordination. Designs MuleSoft APIs, troubleshoots Snowflake and PostgreSQL data, scripts utilities in Python or Ruby, and improves operational reliability using AWS, ITIL, Agile practices, and emerging AI-enabled support tools.

Design and automate secure, scalable AWS infrastructure for laboratory and digital applications. Build Infrastructure as Code modules, CI/CD pipelines, container platforms, observability solutions, networking, security controls, and cost optimization practices. Support cloud migration, incident analysis, service reliability, documentation, and responsible AI-assisted engineering across enterprise teams.

Lead end-to-end requirements management and analysis strategy for IT initiatives in a regulated pharmaceutical environment. Engage stakeholders, align solutions with architecture, assess value and readiness, support business cases, apply AI/LLM-assisted techniques to accelerate documentation, and ensure governance, compliance, and adoption across global teams.

Leads performance management and business operations for AstraZeneca’s Global Data Office. Owns performance frameworks, executive scorecards, KPIs, benefits realization, reporting automation, planning cycles, governance, operating rhythms, and accountability models. Provides data-driven insight and constructive challenge to senior leaders, coordinates performance reviews and strategic alignment, and develops teams across a global matrix. The role also partners with Communications and enterprise stakeholders to improve execution, transparency, collaborator experience, and measurable value delivery.

Lead end-to-end Salesforce Marketing Cloud and Data Cloud solutions for omnichannel email, SMS, WhatsApp, and push campaigns. Design journeys, data models, automations, integrations, audience segments, and personalized experiences. Own testing, deployment, monitoring, optimization, documentation, and governance while mentoring junior team members and partnering with global stakeholders, data teams, architects, and IT.

Partners with senior leaders to execute business-aligned HR strategies, workforce planning, performance management, employee relations, compensation, talent development, and organizational change. Leads multidisciplinary HR projects, advises on complex policies and employment matters, analyzes workforce data, drives culture and engagement initiatives, and coaches managers on performance. Ensures compliance with company policies, collective agreements, and employment laws while improving retention, employee experience, and organizational effectiveness.

Own HR data products and workforce data governance by analyzing data, improving quality, developing pipelines, documenting metadata and lineage, managing access controls, and delivering reports and dashboards. The role partners with HR, IT, analytics teams, vendors, and business stakeholders on requirements, Agile delivery, data migrations, M&A activity, AI governance, and responsible use of sensitive employee data.