Commercialization Portfolio AI, Senior Manager

Career Category

Project Management

Job Description

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Commercialization Portfolio AI, Senior Manager

What you will do

Let’s do this. Let’s change the world. In this vital role, you will join an exciting team that drives novel approaches in decision-making, portfolio analytics and insights to maximize the value of Amgen’s pipeline.

You’re an AI/ML software engineer who is intellectually curious with a proven track-record of developing and implementing technology-centric solutions in the project and portfolio management space. We’re looking for a software development professional who is skilled and knowledgeable in portfolio management, analytics, and reporting. You bring experience implementing AI technology solutions to portfolio management and analytics within the biotechnology industry.

The Senior Manager, Commercialization Portfolio AI, reports to the Director of Amgen’s Portfolio Reporting & Systems Team within the Portfolio Management Office. We are open to discussions about location flexibility or remote work arrangements. However, due to the nature of the work, co-location with the headquarter in Thousand Oaks is preferred.

Commercialization is the framework for bringing molecules from the lab through the clinic and to patients. There are few processes that are more central to Amgen than Commercialization.

Responsibilities

• Develops and executes on Amgen’s Commercialization (CMZ) data strategy in alignment with the overall CMZ technology and reporting roadmap. Partners with cross-functional teams to translate business needs into technical solutions.
• Collaborates with Amgen’s Digital Technology & Innovation (DTI) team to implements AI/ML solutions in support of the CMZ technology roadmap and represents CMZ for enterprise-wide AI initiatives.
• Oversees development and implementation of portfolio reporting large language model (LLM) chatbot.
• Designs, builds, and optimizes AI and machine learning models to support portfolio management, forecasting, risk assessment, and decision-making.
• Develops and maintains scalable, responsive web applications and APIs for portfolio analytics and reporting. Ensures robust back-end systems that integrate AI-driven insights into organizational tools and workflows to drive efficiencies and automation.
• Provides recommendations for technical implementation of AI/ML solutions to support portfolio level decision-making and insights generation. Evaluates and improves existing AI models to enhance performance, scalability, and reliability.
• Integrates multiple cross-functional data sets into a single reporting platform.
• Generates insights and analyzes portfolio data for key decision-makers to maximize value at the asset and/or portfolio levels.
• Contributes to the creation of a high-performance operating culture throughout the organization which emphasizes teamwork, personal accountability and a winning attitude.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The software development professional we seek demonstrates high creativity; is self-directed, able to work independently, and functions effectively on multidisciplinary teams, both as participant and leader with these qualifications.

Basic Qualifications:

Doctorate degree and 2 years of relevant experience

Or

Master’s degree and 4 years of relevant experience

Or

Bachelor’s degree and 6 years of relevant experience in Computer Science, Engineering, Data Science, or a related field.

Or

Associate degree and 10 years of relevant experience in Computer Science, Engineering, Data Science, or a related field.

Or

High School Diploma / GED and 12 years of relevant experience in Computer Science, Engineering, Data Science, or a related field.

Additional Req