Teams 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.