Senior Associate Supply Chain

Join Amgens Mission of Serving Patients

At Amgen, if you feel like youre part of something bigger, its because you are. Our shared missionto serve patients living with serious illnesses drives all that we do.

Since 1980, weve helped pioneer the world of biotech in our fight against the worlds 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, youll 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, youll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Lets do this. Lets change the world. In this vital role you will support planning and operational readiness for the ANC Warehouse by providing rigorous capacity modeling, external warehouse planning, and master data management. You will help the organization make timely, data-driven decisions that enable safe, compliant, and reliable material availability for manufacturing and patients.

The Senior Associate, Warehouse Planning & Master Data reports to the Senior Manager of the ANC Warehouse organization within Supply Chain. This role is accountable for developing and maintaining warehouse capacity models including logistics across other Amgen warehouses, planning local external warehouse requirements, and managing warehouse-related master data to enable accurate planning and execution.

The successful candidate will work closely with Planning, Warehouse Leadership, Procurement, Site Industrial Engineering, Global Master Data, and AIN teams. The role requires strong analytical discipline, collaboration, and a curiosity for learning and applying AI-enabled tools to simplify modeling, improve data quality, and reduce manual work.

• Develop, maintain, and continuously improve warehouse capacity models across relevant storage types, material flows, receiving, shipping, and operational constraints.
• Translate manufacturing plans, inventory strategies, and material requirements into clear warehouse capacity scenarios, risks, and recommended actions.
• Support planning and management of external warehouse capacity, including demand projections, storage requirements, inventory movements, and associated operational readiness.
• Partner with Warehouse Leadership, Planning, Procurement, and Industrial Engineering to evaluate material flow, layout, storage utilization, and future capacity needs.
• Provide timely analysis to support operational decisions, capital planning, network discussions, and site readiness activities.
• Establish and maintain capacity planning assumptions, standard work, and recurring reporting to ensure consistent, transparent decision-making.
• Identify constraints and opportunities to improve warehouse utilization, material flow, service levels, and execution reliability.
• Support cross-functional problem solving for material availability, space constraints, inventory disposition, and warehouse execution issues.
• Communicate warehouse capacity outlooks, external warehouse plans, risks, and required actions clearly to site and network stakeholders.

• Manage and maintain warehouse-related master data in partnership with Global Master Data, AIN, and site teams, ensuring accuracy, completeness, and timely change execution.
• Perform data quality checks and resolve master data issues that affect warehouse capacity, storage assignments, material movement, planning signals, or execution.
• Define and document data standards, ownership, and governance routines for warehouse master data and planning inputs.
• Learn and apply AI-enabled tools and methods to streamline capacity modeling, scenario analysis, reporting, and data validation.
• Identify practical opportunities to reduce manual analysis and reporting through automation, digital tools, and reusable models.

• Provide…