Teams at AstraZeneca PLC

Leads AI commercialization strategy and portfolio ownership for AstraZeneca’s US Oncology Business Unit. Translates business needs into AI use cases, oversees delivery and lifecycle management, drives adoption and value realization, and ensures governance, compliance, data readiness, and measurable outcomes. Serves as the bridge between commercial leaders and enterprise AI, technology, and business services teams while leading change, stakeholder alignment, capability building, and strategic planning.

Design and lead cloud-based data platforms, lakehouses, pipelines, governance frameworks, and operational tooling on AWS. Build streaming and batch data solutions, implement infrastructure as code and CI/CD, establish security and observability practices, and guide data modeling across a multi-tenant SaaS environment. Mentor engineers, provide technical leadership, and collaborate with product and security teams to align the data foundation with business objectives.

Build and automate Evinova’s cloud-based data foundation, including lakehouse architecture, catalogs, batch and streaming pipelines, infrastructure as code, data modeling, governance, security, monitoring, and CI/CD. The role requires hands-on AWS data engineering expertise, mentoring engineers, optimizing reliability and automation, and collaborating with product and security teams to support SaaS data platforms, data science, and AI capabilities.