Note: The job is a remote job and is open to candidates in USA. Amgen is a leading biotechnology company dedicated to serving patients living with serious illnesses. The Associate Director of Data Science will lead the development and deployment of advanced analytics and digital solutions within the Global Supply Chain, focusing on transforming operations and ensuring the reliable delivery of critical medicines.
Responsibilities
- 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
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
- Strong communication, stakeholder management, and cross-functional collaboration skills
- Doctorate degree and 3 years of Engineering, Computer Science, Operations, Analytics, Data Science, or related scientific experience OR
- Master's degree and 5 years of Engineering, Computer Science, Operations, Analytics, Data Science, or related scientific experience OR
- Bachelor's degree and 7 years of Engineering, Computer Science, Operations, Analytics, Data Science, or related scientific experience OR
- Associate's degree and 12 years of Engineering, Computer Science, Operations, Analytics, Data Science, or related scientific experience OR
- High school diploma / GED and 14 years of Engineering, Computer Science, Operations, Analytics, Data Science, or related scientific experience
- Passion for data-driven business transformation and innovation
- Strong strategic thinking and problem-solving skills
- Ability to manage multiple priorities in a fast-paced global environment
- Experience working in manufacturing, operations, or supply chain domains
- Experience working within highly collaborative, matrixed, and global organizations
- Demonstrated ability to influence and drive alignment across technical and business teams
Benefits
- Total Rewards Plan (based on eligibility) including: health and welfare plans for staff and eligible dependents
- Financial plans with opportunities to save towards retirement or other goals
- Work/life balance
- Career development opportunities
- 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
- 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.
Company Overview
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