Associate Director- Supply Chain Data Science

Career Category

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.

Associate Director of Data Science – Global Supply Chain Digital

What you will do

Let’s do this. Let’s change the world. The Global Supply Chain Digital Team at Amgen is seeking an Associate Director of Data Science to join the cross-functional Global Supply Chain organization, based either at our Thousand Oaks headquarters or remotely.

In this vital role, you will lead the development and deployment of advanced analytics, AI/ML, GenAI, and digital solutions that transform Global Supply Chain operations and enable reliable delivery of critical medicines to patients worldwide. This role combines strategic leadership with deep technical expertise. In addition to leading advanced data science initiatives, the Associate Director will help establish and scale Amgen’s India-based digital capability team supporting Global Supply Chain. This includes helping define the organizational structure, operating model, governance, and delivery processes for a team of data scientists and digital developers, while providing ongoing leadership and oversight once the organization is established. We are seeking a Data Science leader with expertise in AI/ML, advanced analytics, digital product development, and modern data architecture, along with a strong understanding of supply chain and manufacturing operations. The successful candidate will collaborate closely with Supply Chain, Operations, Finance, IT, and Digital Technology teams to develop scalable solutions that improve forecasting, planning, inventory optimization, productivity, and operational performance.

Responsibilities may include, but are not limited to:

• Design and deploy AI, GenAI, Agentic, and advanced analytics solutions to transform end-to-end Supply Chain operations.

• Lead the development of scalable digital products, analytical applications, and automation capabilities using large and complex datasets.

• Help establish and scale a Global Supply Chain Digital capability team in India, including organizational design, operating model development, governance, and delivery processes.

• Provide leadership and oversight for global teams of data scientists and digital developers across onshore and offshore locations.

• Partner with business leaders, IT, and data engineering teams to deliver robust, scalable, and business-aligned analytics solutions.

• Develop impactful visualizations and executive-level insights that support strategic decision-making and operational transformation.

• Explore and implement emerging technologies and modern data science practices to enhance organizational capabilities.

• Lead productivity analytics initiatives and develop KPIs and performance metrics that drive operational excellence across the global supply chain.

• Mentor and develop Digital/Data Science staff while fostering a culture of innovation, collaboration, and continuous improvement.

Required Skills

• People leadership and organizational management experience

• Experience building and scaling global or offshore technical teams

• Experience developing scalable data science applications for manufacturing or supply chain operations

• Strong expertise in AI/ML, GenAI, advanced analytics, and digital product development

• Proficiency in Python and SQL

• Experience working with large, complex datasets and modern data architecture

• Experience working in Agile teams to deliver digital products

• Experience with data visualization tools such as Spotfire and Matplotlib