.Technology impacts everything we do. Pfizer's digital and 'data first' strategy focuses on implementing impactful and innovative technology solutions across all functions from research to manufacturing. Whether you are digitizing drug discovery and development, identifying solutions, or making our work easier and faster, you will be making a difference to countless lives.What You Will AchieveDo you want to make an impact on patient health around the world? Do you thrive in a fast-paced environment that brings together scientific, clinical, and commercial domains through engineering, data science, and AI? Then join Pfizer Digital's Artificial Intelligence, Data, and Advanced Analytics organization (AIDA) where you can leverage cutting-edge technology to inform critical business decisions and improve customer experiences for our colleagues, patients and physicians. Our collection of engineering, data science, and AI professionals are at the forefront of Pfizer's transformation into a digitally driven organization that leverages data science and AI to change patients' lives. The Data Science Industrialization team within Data Science Solutions and Initiatives is a critical driver and enabler of Pfizer's digital transformation, leading the process and engineering innovation to rapidly progress early AI and data science applications from prototypes and MVPs to full production.As a Data Science & AI Industrialization DevOps Manager, you will be responsible for overseeing and managing the architecture and implementation of AI solutions and reusable components, with a strong focus on incorporating DevOps practices. Your role will involve driving the seamless integration of AI applications into the production environment by implementing best practices for CI/CD, infrastructure automation, containerization, configuration management, and monitoring. Your expertise in DevOps will be essential in ensuring the scalability, reliability, and ongoing operations of AI solutions. Additionally, you will provide strategic guidance and input into the AI ecosystem and platform strategy from a DevOps perspective, fostering innovation and collaboration. Join our team and contribute to improving patient health through the application of cutting-edge technology and collaboration with a diverse group of professionals.How You Will Achieve ItDesign, implement, and maintain infrastructure and tools for software development and deployment using IaC tools.Automate processes for continuous integration, delivery, and deployment (CI/CD pipeline) to ensure smooth software delivery.Collaborate closely with developers, testers, and operations teams to facilitate seamless software delivery.Monitor system health and performance, proactively identifying and resolving issues.Perform root cause analysis to diagnose and fix production errors.Implement logging and monitoring tools to gain insights into system behavior