AI Data Scientist, OTDS – Manager (Individual Contributor)

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 (OTDS) by guiding the design and delivery of next-generation AI solutions that modernize how data, knowledge, and content are created, connected, governed, and consumed across the enterprise, in collaboration with the Operations AI Transformation Team.

This role focuses on scaling the application of Generative AI, agentic AI, integrated data, and semantic technologies across high-impact business domains. You will deliver enterprise-grade AI solutions in close collaboration with business stakeholders, product teams, and technology partners.

You will be responsible for shaping strategy, driving execution, and ensuring the successful delivery of AI-enabled transformation initiatives, particularly within regulatory, operational, and data-centric use cases. This role combines strong technical depth with product thinking and the ability to influence at scale in a highly regulated environment.

Role Description

The AI Data Scientist Manager is responsible for designing, developing, and scaling AI-driven solutions that combine Generative AI, agentic AI, semantic data, and enterprise data platforms to create measurable business value.

This role requires a balance of technical expertise and strategic thinking, with accountability for delivery. You will oversee the end-to-end lifecycle of AI solutions—from ideation and prototyping to production deployment, while ensuring alignment with enterprise standards for Responsible AI, compliance, and data governance.

With a focus on pharmaceutical and operational data domains, this role involves guiding the development of intelligent systems that leverage knowledge graphs, interoperable data models, and modern AI technologies. You will work across structured and unstructured data ecosystems using platforms such as AWS, Databricks, OpenAI APIs, and AWS Bedrock to deliver scalable and compliant solutions.