Director, Rdu It - Ai

Experteer Overview In this role you will lead AI and analytics initiatives to unlock measurable value across Alexion, shaping patient-centric data platforms and scalable solutions.You’ll partner with business and technology stakeholders to translate complex needs into practical capabilities, driving AI across enterprise platforms while ensuring trust, security, and governance.You’ll manage multidisciplinary teams and external partners to deliver high-impact AI applications that advance healthcare science and business goals.This is a high-visibility role focused on technical excellence, operational reliability, and cross-functional impact.Compensaciones / Beneficios - Lead development, deployment, and continuous improvement of scalable AI models and systems addressing priority business and scientific challenges - Mentor and develop regional engineering teams to sustain high performance across geographies - Provide technical leadership across the full solution lifecycle from discovery to optimization - Oversee architecture, automation, scalability, and reliability of AI infrastructure and platforms - Integrate AI capabilities into enterprise platforms, applications, APIs, and workflows for measurable value - Create reusable assets, templates, and delivery methods to accelerate AI solutions - Collaborate with business leaders, data scientists, engineers, and SMEs to identify opportunities and translate data insights into action - Ensure responsible, secure, and compliant AI production governance and alignment with regulatory requirementsResponsabilidades - Bachelor’s or Master’s degree in a technical field - Proven experience delivering production AI, ML, data science, or software engineering solutions including LLMs, prompt engineering, and AI-powered apps - Hands-on Python proficiency and experience with AI frameworks (Hugging Face Transformers, LangChain, TensorFlow, PyTorch) and SQL - Strong MLOps and software delivery experience (CI/CD, automated deployment, monitoring, version control, containerization) - Knowledge of cloud AI/data architectures (AWS, data lakes, serverless, Kubernetes, elastic compute) - Experience leading geographically distributed teams and cross-functional collaboration - Advanced analytical and modeling capabilities and trend anticipation - Excellent written and verbal communication, stakeholder management, and executive presentation skills; biopharma experience valuedRequisitos principales -

alignment with regulatory requirementsResponsabilidades - Bachelor’s or Master’s degree in a technical field - Proven experience delivering production AI, ML, data science, or software engineering solutions including LLMs, prompt engineering, and AI-powered apps - Hands-on Python proficiency and experience with AI frameworks (Hugging Face Transformers, LangChain, TensorFlow, PyTorch) and SQL - Strong MLOps and software delivery experience (CI/CD, automated deployment, monitoring, version control, containerization) - Knowledge of cloud AI/data architectures (AWS, data lakes, serverless, Kubernetes, elastic compute) - Experience leading geographically distributed teams and cross-functional collaboration - Advanced analytical and modeling capabilities and trend anticipation - Excellent written and verbal communication, stakeholder management, and executive presentation skills; biopharma experience valuedRequisitos principales -