.We're in relentless pursuit of breakthroughs that change patients' lives. We innovate every day to make the world a healthier place.To fully realize Pfizer's purpose – Breakthroughs that change patients' lives – we have established a clear set of expectations regarding "what" we need to achieve for patients and "how" we will go about achieving those goals.Pfizer Digital takes immense pride in being at the forefront of innovation, harnessing cutting-edge smart technology that profoundly impacts the lives of our patients.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