Sr Associate Digital Mfg I

Career Category

Manufacturing

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. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. 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.

SR ASSOCIATE DIGITAL MANUFACTURING I

What you will do

Let’s do this. Let’s change the world. In this vital role you will join a forward-thinking team driving the adoption of smart manufacturing technologies and digital transformation initiatives within the plant. In this role, you will enhance floor operations and empower business leadership through advanced data analytics, AI and automation. You will take ownership of critical processes, design innovative digital solutions that improve operational performance. This position plays a pivotal role in advancing Amgen North Carolina’s digital maturity and enabling a smarter, more connected, and data-driven manufacturing future.

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• Build Digital Solutions to Support Manufacturing Operation: Identify key improvement opportunities within manufacturing operations and build new digital tools to enhance productivity.
• Enable Data Infrastructure and Analytics: Lead the implementation of robust data structures and architecture at the site level to support advanced analytics, modeling, and big data initiatives. Act as a data scientist to build predictive models and generate actionable insights for plant performance optimization. Drive integration of AI and predictive analytics at ANC
• Integrate and Optimize Business Systems: Demonstrate a strong understanding of interdependencies between smart technologies, enterprise systems (e.g., MES, ERP), and manufacturing processes to evaluate impacts and ensure system alignment with business goals.
• Lead Digital Project Execution and Governance: Support project prioritization, approval, and execution across digital initiatives.
• Deliver Insight Through Analytics and Visualization: Apply advanced analytical techniques to interpret complex data sets and assess manufacturing performance metrics using tools such as SQL, Tableau, and other visualization or data analytics platforms.
• Champion Collaboration and Network Alignment: Partner with global digital teams and other manufacturing sites to share best practices, standardize digital solutions, and ensure continuous improvement across the network.
• Develop and Justify Digital Investments: Prepare business cases to secure funding for new digital initiatives, ensuring alignment with strategic site and organizational objectives.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a person with these qualifications.

Basic Qualifications:

• High school/GED + 4 years of engineering or computer science work experience OR​
• Associate’s + 2 years of engineering or computer science work experience OR​
• Bachelor’s + 6 months of engineering or computer science work experience​ OR
• Master's ​

Preferred Qualifications:

• Experience with command-line programming or scripting using one or more programming languages (e.g., Python, C, C++, Java, or similar).
• Strong understanding of data structures with the ability to build analytical models that generate actionable insights.
• Strong capability in presenting data-driven insights and metrics to leadership while fostering cross-functional collaboration to advance digital initiatives.
• Knowledge of manufacturing processes and the ability to translate business needs into functional and technical system requirements.
• Committed to operational excellence, continuous improvement, and lean manufacturing principles (e.g., Kaizen).
• Demonstrated ability to perform effectively in fast-paced manufacturing environments, resolving issues rapidly to support production continuity.
• Excellent collaboration and communication skills, with the ability to engage effectively across technical, operational, and leadership levels.
• Proactive, results-driven, and able to manage multiple priorities to meet project timelines effectively.

What you can expect of us

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