Director, RDU IT - AI

Alexion-Pharmaceuticals-; Barcelona; Presencial; EUR 150.000 - 190.000; Jornada completa

Descripción de la vacante

Alexion seeks a Director, RDU IT – AI to lead cross‑functional AI initiatives that translate complex scientific and business needs into scalable AI platforms. You will drive production-grade models, governance, and trusted analytics across global teams.

You will guide architecture, deployment, and operational reliability while partnering with business leaders to deliver measurable value and responsible AI practices across biopharma contexts.

Formación

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related technical field.
• Proven experience delivering production AI, machine learning, data science, or software engineering solutions, including large language models, prompt engineering, fine-tuning, and AI-powered applications.
• Hands-on proficiency in Python and leading AI frameworks such as Hugging Face Transformers, LangChain, TensorFlow, or PyTorch, with working knowledge of SQL and analytical methods.
• Strong MLOps and software delivery experience, including automated deployment, monitoring, lifecycle management, CI/CD, version control, containerization, and scalable production operations.
• Solid knowledge of cloud-based AI and data architectures, especially AWS services, web services, data lakes, serverless technologies, Kubernetes, and elastic compute environments.
• Demonstrated leadership of geographically distributed technical teams, with the ability to coach talent, manage multiple priorities, and collaborate effectively across functions.
• Advanced analytical, modeling, and problem-solving capabilities, including selecting and evaluating appropriate methods, extracting insights from large datasets, and anticipating emerging business and technology trends.
• Exceptional written and verbal communication, stakeholder management, and executive presentation skills, with the ability to translate complex technical insights into concise, actionable business terms; biopharmaceutical industry experience is highly valued

Responsabilidades

• Lead the development, deployment, and continuous improvement of scalable AI models and systems that address priority business and scientific challenges
• Manage, mentor, and develop regional engineering teams, fostering high performance and effective collaboration across geographies
• Provide technical leadership across the full solution lifecycle, from discovery and architecture through implementation, delivery, and ongoing optimization
• Oversee the architecture, automation, scalability, and operational reliability of AI infrastructure, models, services, and analytical platforms
• Integrate AI capabilities into enterprise platforms, applications, agents, APIs, user interfaces, and workflows to enable seamless adoption and measurable value
• Establish reusable assets, templates, frameworks, and delivery methods that accelerate high-quality AI solutions across the value chain
• Partner with business leaders, data scientists, engineers, and subject matter experts to identify opportunities, structure problems, align priorities, and translate data-driven insights into action
• Ensure responsible, secure, and compliant use of AI through effective production governance, monitoring, versioning, performance management, and alignment with evolving regulatory requirements

Conocimientos

Python

AI frameworks

SQL

MLOps

AWS

Kubernetes

Leadership

Stakeholder management

Educación

Bachelor’s degree

Master’s degree

Herramientas

Docker

CI/CD

Descripción del empleo

This is what you will do:

As Director, RDU IT – AI, you will be a highly visible technology leader who partners across Alexion toidentifyopportunities, improve decision-making, and create measurable value through AI and advanced analytics. You will bring an innovative, collaborative, and business-focused approach to translating complex needs into scalable solutions.

You will help shapethe next generation of patient-centric data, analytics,and application platforms, usinghealthcare data andmodern technologies to advancebusinessand scientificinnovation.

You will lead multidisciplinary teams, build trusted relationships with business and technology stakeholders, and communicate technical solutions clearly to audiences at all levels. You will also overseedeliverypartners and service providers to ensure quality, alignment, and value.

Reportingto theSeniorDirector, RDU IT – Data & AI, you willlead the implementation anddelivery of AI solutionswhilemanaging, mentoring, andcontributingalongside engineering teams. You will guidethe development, deployment,integration,and scaling of AI capabilitiesacrossbusiness and scientific applications,with a strong focus ontechnical excellence, operational reliability,security, and responsible AI.

You will be responsible for:

• Lead the development, deployment, and continuous improvement of scalable AI models and systems that address priority business and scientific challenges
• Manage, mentor, and develop regional engineering teams, fostering high performance and effective collaboration across geographies
• Provide technical leadership across the full solution lifecycle, from discovery and architecture through implementation, delivery, and ongoing optimization
• Oversee the architecture, automation, scalability, and operational reliability of AI infrastructure, models, services, and analytical platforms
• Integrate AI capabilities into enterprise platforms, applications, agents, APIs, user interfaces, and workflows to enable seamless adoption and measurable value
• Establish reusable assets, templates, frameworks, and delivery methods that accelerate high-quality AI solutions across the value chain
• Partnerwith business leaders, data scientists, engineers, and subject matter experts toidentifyopportunities, structure problems, align priorities, and translate data-driven insights into action
• Ensure responsible, secure, and compliant use of AI through effective production governance, monitoring, versioning, performance management, and alignment with evolving regulatory requirements

You will need to have:

• Bachelor’s orMaster’s degree in Computer Science, Engineering, Mathematics, or a related technical field
• Proven experience delivering production AI, machine learning, data science, or software engineering solutions, including large language models, prompt engineering, fine-tuning, and AI-powered applications
• Hands-onproficiencyin Python and leading AI frameworks such as Hugging Face Transformers,LangChain, TensorFlow, orPyTorch, with working knowledge of SQL and analytical methods
• StrongMLOpsand software delivery experience, including automated deployment, monitoring, lifecycle management, CI/CD, version control, containerization, and scalable production operations
• Solid knowledge of cloud-based AI and dataarchitectures, especially AWS services, web services, data lakes, serverless technologies, Kubernetes, and elasticcomputeenvironments
• Demonstrated leadership of geographically distributed technical teams, with the ability to coach talent, manage multiple priorities, and collaborate effectively across functions
• Advanced analytical, modeling, and problem-solving capabilities, including selecting and evaluatingappropriate methods, extracting insights from large datasets, andanticipatingemerging business and technology trends
• Exceptional written and verbal communication, stakeholder management, and executive presentation skills, with the ability to translate complex technical insights into concise, actionable business terms; biopharmaceutical industry experience is highly valued

We wouldprefer foryou to have:

• Master’s degree in a technical or healthcare-related field
• 10+ years of experience in machine learning, data science, or software engineering, with a strong record of delivering high-value AI solutions
• Hands-on experience designing and deploying enterprise LLM systems, including content generation, summarization, document parsing, and conversational interfaces, withexpertisein managing context limitations, hallucination risk, and performance tuning
• Experience applying AI in pharmaceutical, biotechnology, or healthcare environments, with knowledge of responsible AI practices such as explainability, prompt safety, and ethical risk mitigation
• Demonstrated contribution to AI communities, open-source initiatives, publications, hackathons, blogs, or other forms of thought leadership

Date Posted

28-aug.-2026

Closing Date

13-sep.-2026

Alexion is proud to be an Equal Employment Opportunity and Aff ... We are committed to fostering a culture of belonging where every single person can belong because of their uniqueness. The Company will not make decisions about employment, training, compensation, promotion, and other terms and conditions of employment based on race, color, religion, creed or lackthereof, sex, sexualorientation, age, ancestry, national origin, ethnicity, citizenship status, marital status,pregnancy, (including childbirth, breastfeeding, or related medical conditions), parental status (including adoption or surrogacy), military status, protected veteran status, disability, medical condition, gender identity or expression, genetic information, mental illness or other characteristics protected by law. Alexion provides reasonable accommodations to meet the needs of candidates and employees. To begin aninteractive dialogue with Alexion regarding an accommodation, please contact [e-mail]. Alexion participates in E‑Verify.