Data & Information Architect

Career Category

Information Systems

ABOUT AMGEN

Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller, and longer. We discover, develop, manufacture, and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains at the cutting edge of innovation, using technology and human genetic data to push beyond what is known today.

ABOUT THE ROLE

You will play a critical role in advancing Amgen’s Operations Transformation and Digital Strategy by designing and delivering next-generation digital solutions that modernize how data, knowledge, and content are created, connected, governed, and consumed across the enterprise, in collaboration with the Operations Data Strategy Team.

This role is focused on applying information modeling, knowledge graphs, and Generative AI to solve complex business problems in a highly regulated environment. The Data & Information Architect will help shape and scale AI-enabled solutions that support enterprise transformation, with particular emphasis on regulatory, operational, and data-centric use cases. This role will contribute to initiatives that combine modern AI capabilities with structured content, knowledge graphs, and interoperable data models to enable intelligent automation, improved decision-making, and new ways of working.

This is an individual contributor role for a technically strong and strategically minded Data practitioner who can move from concept to proof of value and from prototype to scalable implementation while maintaining a strong commitment to responsible AI, compliance, and continuous improvement.

Role Description

The Data & Information Architect is responsible for designing, developing, and scaling connected data solutions that combine data, context, generative AI, and enterprise data platforms to create measurable business value. This role requires deep technical expertise, strong business engagement, and the ability to translate ambiguous business opportunities into production-oriented AI products and capabilities.

With a focus on pharmaceutical and operational data domains, the role involves applying data science, ontology-based modeling, knowledge graph methods, and modern AI technologies to build intelligent systems that can reason over connected data, generate insights, and automate knowledge-intensive tasks. The role will work across structured and unstructured data, leveraging AWS, Databricks, OpenAI APIs, and related platforms to deliver scalable and compliant AI solutions.