Use Your Power for Purpose Pfizer’s Chief Digital and Technology Office (CDTO) leads the transformation of Pfizer into a digital powerhouse that will generate patient superior experiences which results in better health outcomes. The Data and AI Platforms team, which is part of the Artificial Intelligence COE organization is responsible for creating a seamless experience for analytics experts to harness the potential of big data, machine learning, and interactive analytics through a unified platform across the enterprise – from scientific/clinical to commercial across all Pfizer geographies. Part of the Data and AI Platforms team are a group of engineers who are responsible for managing components that form the enterprise analytics platform as well as using these platforms to build reusable analytics products/solutions. This platform is the digital engine that brings together investments we have made into a unified experience for colleagues that take us to the next level of value creation. It powers next generation insights by developing enterprise-grade data foundations, allowing data to flow horizontally, enabling a versatile analytics environment, and embedding insights into day-to-day work to create a digital, data-driven culture. What You Will Achieve As a Full Stack Engineering Manager, you will act as a lead engineer for end-user-facing analytics products and applications that are developed within the team’s portfolio. This role will require the ability to flex between design, architecture and technical engineering of new and existing products and applications as well as considering the underlying analytical purpose of each. The incumbent would be able to build solutions from scratch, join existing development efforts and contribute to proof of concepts and experiments. They will have the ability to work with technology vendors, support resources, delivery partners, junior engineers and Pfizer stakeholders. This will require the application of emerging and traditional technologies across artificial intelligence, data and analytics use cases. More specifically:
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees