Teams at AstraZeneca PLC

Develop production-grade agentic AI and LLM workflows for clinical trials. Build Python and SQL services, data pipelines, retrieval systems, tool integrations, evaluations, and safety controls. Conduct reproducible experiments, analyze errors, improve models and workflows, and collaborate with clinicians, clinical scientists, engineers, and operations teams. Ensure provenance, privacy, responsible AI, and regulatory-quality evidence while translating prototypes into trusted capabilities used across studies.

Lead an enterprise vulnerability management program across OT, cloud, and on-premises infrastructure. Prioritize vulnerabilities using threat intelligence and business risk, coordinate remediation, manage exceptions, develop policies and playbooks, improve asset visibility and data quality, automate workflows, produce executive dashboards, and respond to emerging threats. The role requires strong stakeholder influence, technical documentation, governance, metrics, and experience with regulated or safety-critical environments.

Leads enterprise SAP EWM solution strategy, architecture, configuration, integration, data migration, testing, deployment, and optimization across S/4HANA warehouses. Manages Agile workstreams, coaches EWM consultants, and integrates SAP EWM with MM, PP, QM, SD, and TM. The role drives automation and AI adoption, ensures pharmaceutical supply-chain compliance, supports 24x7 operations, and engages business and technology stakeholders to improve warehouse accuracy, throughput, and cycle times.