Associate Director – Supply Chain Data Science

🕒 July 22

🌐 United States, Portugal, +2 more countries – Remote

🇺🇸 United States – Remote 🇵🇹 Portugal – Remote 🇳🇱 Netherlands – Remote 🇮🇪 Ireland – Remote

🏄 California – Remote

🏄 California – Remote

💵 $147.5k - $199.5k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Amgen

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1980

🏥 Healthcare

🧬 Biotechnology

💊 Pharmaceuticals

💰 $28.5G Post-IPO Debt on 2022-12

Healthcare • Biotechnology • Pharmaceuticals

Amgen is a global leader in biotechnology, focusing on the development and commercialization of innovative medicines made from living cells. The company aims to treat serious illnesses, often targeting diseases with limited therapeutic options. Amgen emphasizes scientific innovation and is committed to ethical research, patient safety, and environmental sustainability. It actively engages in clinical trials and is known for its contributions to the fields of cancer treatment and obesity management among others.

📋 Description

• 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. • 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.

🎯 Requirements

• 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 • Strong communication, stakeholder management, and cross-functional collaboration skills

🏖️ Benefits

• 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 • flexible spending accounts • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan • Stock-based long-term incentives • Award-winning time-off plans • Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.