About this role
Job title: Data & Information Architect
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.
What You'll Do
- Design, develop, and scale connected data solutions that combine data, context, generative AI, and enterprise data platforms to create measurable business value.
- Translate ambiguous business opportunities into production-oriented AI products and capabilities; require deep technical expertise and strong business engagement.
- Apply 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.
- Work across structured and unstructured data using AWS, Databricks, OpenAI APIs, and related platforms to deliver scalable and compliant AI solutions.
- Help establish best practices in Connected Data; support transformation initiatives through experimentation and applied innovation.
What We're Looking For
- Technically strong with strong business engagement; ability to translate ambiguous opportunities into production-oriented AI products and capabilities.
- Experience with pharmaceutical and operational data domains.
- Proficiency in data science, ontology-based modeling, knowledge graph methods, and modern AI technologies.
- Experience working with AWS, Databricks, OpenAI APIs.
- Commitment to responsible AI, compliance, and continuous improvement.