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Associate Director- Supply Chain Data Science

Amgen

Associate Director- Supply Chain Data Science

full-timePosted: Jul 29, 2026Updated: Aug 28, 2026United States - Remote (Remote)

Job Description

Career CategorySupply ChainJob DescriptionJoin Amgen’s Mission of Serving PatientsAt 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 DigitalWhat you will doLet’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 SkillsPeople leadership and organizational management experienceExperience building and scaling global or offshore technical teamsExperience developing scalable data science applications for manufacturing or supply chain operationsStrong expertise in AI/ML, GenAI, advanced analytics, and digital product developmentProficiency in Python and SQLExperience working with large, complex datasets and modern data architectureExperience working in Agile teams to deliver digital productsExperience with data visualization tools such as Spotfire and MatplotlibStrong communication, stakeholder management, and cross-functional collaboration skillsWhat we expect of youWe are all different, yet we all use our unique contributions to serve patients. The dynamic leader we seek is an individual with these qualificationsBasic Qualifications: Doctorate degree and 3 years of Engineering, Computer Science, Operations, Analytics, Data Science, or related scientific experience ORMaster’s degree and 5 years of Engineering, Computer Science, Operations, Analytics, Data Science, or related scientific experience ORBachelor’s degree and 7 years of Engineering, Computer Science, Operations, Analytics, Data Science, or related scientific experience ORAssociate’s degree and 12 years of Engineering, Computer Science, Operations, Analytics, Data Science, or related scientific experience ORHigh school diploma / GED and 14 years of Engineering, Computer Science, Operations, Analytics, Data Science, or related scientific experiencePreferred Qualifications:Passion for data-driven business transformation and innovationStrong strategic thinking and problem-solving skillsAbility to manage multiple priorities in a fast-paced global environmentExperience working in manufacturing, operations, or supply chain domainsExperience working within highly collaborative, matrixed, and global organizationsDemonstrated ability to influence and drive alignment across technical and business teamsWhat you can expect of usAs we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accountsA discretionary annual bonus program, or for field sales representatives, a sales-based incentive planStock-based long-term incentivesAward-winning time-off plansFlexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.Apply now and make a lasting impact with the Amgen team.careers.amgen.comIn any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.Application deadlineAmgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the positionSponsorshipSponsorship for this role is not guaranteed.As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation..Salary Range147,467.35USD -199,514.65 USD

Locations

  • United States - Remote (Remote)
  • Portugal - Remote (Remote)
  • Netherlands - Remote (Remote)
  • Ireland - Remote (Remote)

Skills Required

  • and scaling globalintermediate
  • AI/MLintermediate
  • Pythonintermediate
  • data visualization tools such as Spotfireintermediate

Required Qualifications

  • People leadership and organizational management experience (experience)
  • Experience building and scaling global or offshore technical teams (experience)
  • Experience developing scalable data science applications for manufacturing or supply chain operations (experience)
  • Strong expertise in AI/ML, GenAI, advanced analytics, and digital product development (experience)
  • Proficiency in Python and SQL (experience)
  • Experience working with large, complex datasets and modern data architecture (experience)
  • Experience working in Agile teams to deliver digital products (experience)
  • Experience with data visualization tools such as Spotfire and Matplotlib (experience)
  • Strong communication, stakeholder management, and cross-functional collaboration skills (experience)
  • People leadership and organizational management experience (experience)
  • Experience building and scaling global or offshore technical teams (experience)
  • Experience developing scalable data science applications for manufacturing or supply chain operations (experience)
  • Strong expertise in AI/ML, GenAI, advanced analytics, and digital product development (experience)
  • Proficiency in Python and SQL (experience)
  • Experience working with large, complex datasets and modern data architecture (experience)
  • Experience working in Agile teams to deliver digital products (experience)
  • Experience with data visualization tools such as Spotfire and Matplotlib (experience)
  • Strong communication, stakeholder management, and cross-functional collaboration skills (experience)
  • Doctorate degree and 3 years of Engineering, Computer Science, Operations, Analytics, Data Science, or related scientific experience OR (experience, 3 years)
  • Master’s degree and 5 years of Engineering, Computer Science, Operations, Analytics, Data Science, or related scientific experience OR (experience, 5 years)
  • Bachelor’s degree and 7 years of Engineering, Computer Science, Operations, Analytics, Data Science, or related scientific experience OR (experience, 7 years)
  • Associate’s degree and 12 years of Engineering, Computer Science, Operations, Analytics, Data Science, or related scientific experience OR (experience, 12 years)
  • High school diploma / GED and 14 years of Engineering, Computer Science, Operations, Analytics, Data Science, or related scientific experience (experience, 14 years)
  • Doctorate degree and 3 years of Engineering, Computer Science, Operations, Analytics, Data Science, or related scientific experience OR (experience, 3 years)
  • Master’s degree and 5 years of Engineering, Computer Science, Operations, Analytics, Data Science, or related scientific experience OR (experience, 5 years)
  • Bachelor’s degree and 7 years of Engineering, Computer Science, Operations, Analytics, Data Science, or related scientific experience OR (experience, 7 years)
  • Associate’s degree and 12 years of Engineering, Computer Science, Operations, Analytics, Data Science, or related scientific experience OR (experience, 12 years)
  • High school diploma / GED and 14 years of Engineering, Computer Science, Operations, Analytics, Data Science, or related scientific experience (experience, 14 years)

Preferred Qualifications

  • Passion for data-driven business transformation and innovation (experience)
  • Strong strategic thinking and problem-solving skills (experience)
  • Ability to manage multiple priorities in a fast-paced global environment (experience)
  • Experience working in manufacturing, operations, or supply chain domains (experience)
  • Experience working within highly collaborative, matrixed, and global organizations (experience)
  • Demonstrated ability to influence and drive alignment across technical and business teams (experience)
  • Passion for data-driven business transformation and innovation (experience)
  • Strong strategic thinking and problem-solving skills (experience)
  • Ability to manage multiple priorities in a fast-paced global environment (experience)
  • Experience working in manufacturing, operations, or supply chain domains (experience)
  • Experience working within highly collaborative, matrixed, and global organizations (experience)
  • Demonstrated ability to influence and drive alignment across technical and business teams (experience)

Responsibilities

  • 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.
  • 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.
  • 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.

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