Senior Director - Enterprise Ai Platforms

OverviewIn this role, you will own the vision and execution of AstraZeneca’s enterprise AI platform, enabling scientists and developers to access secure, scalable AI tooling.You’ll lead a global team of AI engineers and product managers, balancing cutting-edge capabilities with production reliability and GxP compliance.You will partner with research, IT, and business units to deliver production-ready ML infrastructure and developer experiences.This is a strategic, hands-on opportunity to transform healthcare through AI at scale.ResponsabilidadesOwn the complete vision for AI usage across research and development, from core infrastructure to tools, SDKs, and integrationsBuild partnerships and manage ecosystem programs with cloud providers and vendors; influence technical decisions and roadmapsLead enterprise platform product initiatives including security, compliance, authentication, SLAs, governance, and documentationCollaborate with engineering on architecture for large ML workloads, including AWS scaling, deployment pipelines, and reliabilityOversee budget and resources (FTE, outsourced providers, professional services) for sophisticated partner groupsRequisitos principalesExtensive experience in product management or technical leadership with 5+ years in senior roles leading enterprise AI platforms or ML infrastructureProven ability to develop technical strategies and align with global partnersStrong communication and influencing capabilities; budget and resource management experienceProficient in Python; exceptional proficiency in at least one programming languageExperience leading an enterprise platform/service and handling customer demand and feature requestsExperience managing a team of technical experts; familiarity with SAFe principlesExperience with internal security standards and frameworksBS in Computer Science or related fieldSignificant AWS cloud experience (SageMaker, Athena, S3, EC2, RDS, Glue, etc.)Knowledge of building production-grade data science and ML environmentsModern DevOps mindset with Docker, Git; IaC using Ansible, Terraform, CloudFormationAbility to adapt ML methods to parallel environments (distributed clusters, GPUs)Influencing and strategic communicationCollaborative leadership across functionsCustomer- and partner-focused mindsetPython (primary language)AWS (SageMaker, Athena, S3, EC2, RDS, Glue)Docker

ResponsabilidadesOwn the complete vision for AI usage across research and development, from core infrastructure to tools, SDKs, and integrationsBuild partnerships and manage ecosystem programs with cloud providers and vendors; influence technical decisions and roadmapsLead enterprise platform product initiatives including security, compliance, authentication, SLAs, governance, and documentationCollaborate with engineering on architecture for large ML workloads, including AWS scaling, deployment pipelines, and reliabilityOversee budget and resources (FTE, outsourced providers, professional services) for sophisticated partner groups Requisitos principalesExtensive experience in product management or technical leadership with 5+ years in senior roles leading enterprise AI platforms or ML infrastructureProven ability to develop technical strategies and align with global partnersStrong communication and influencing capabilities; budget and resource management experienceProficient in Python; exceptional proficiency in at least one programming languageExperience leading an enterprise platform/service and handling customer demand and feature requestsExperience managing a team of technical experts; familiarity with SAFe principlesExperience with internal security standards and frameworksBS in Computer Science or related fieldSignificant AWS cloud experience (SageMaker, Athena, S3, EC2, RDS, Glue, etc.)Knowledge of building production-grade data science and ML environmentsModern DevOps mindset with Docker, Git; IaC using Ansible, Terraform, CloudFormationAbility to adapt ML methods to parallel environments (distributed clusters, GPUs)Influencing and strategic communicationCollaborative leadership across functionsCustomer- and partner-focused mindsetPython (primary language)AWS (SageMaker, Athena, S3, EC2, RDS, Glue)Docker