Senior Manager - Data Engineer

March 17

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Amgen

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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.

Biologics • Human therapeutics • Development of novel products

10,000+ employees

Founded 1980

🧬 Biotechnology

💊 Pharmaceuticals

🔬 Science

💰 Post-IPO Debt on 2022-12

📋 Description

• The External Supply Organization is seeking a highly motivated individual to drive the systematic utilization of data, analytics, artificial intelligence, and automation across all aspects of the business to reduce costs, increase speed, and improve efficiency. • As part of the External Supply Team, the Sr. Manager will lead a team of data engineers and data scientists that will collaborate with business leaders to design and implement business process automations and advance projects and strategic deliverables for External Supply Operations. • Responsibilities include strategically planning and implementing the digital roadmap for External Supply, collaborating with IT, supply chain, operations, and product management teams to translate business requirements into technical solutions, promoting the utilization of artificial intelligence and the newest technologies available in the organization, identifying and evaluating technology and business trends to improve product outcomes, leading and mentoring a team of data engineers and data scientists, reviewing and approving products before their release, developing and completing proof of concepts (POCs) for new methodologies, planning product releases and setting expectations with customers for new functionality, applying advanced analytics to extract insights from complex datasets, understanding data governance frameworks, tools, and best practices, driving automation and process improvement within the External Supply Organization, aligning solutions with company strategy, cyber security standards, and operating procedures, optimizing AWS and Databricks infrastructure for optimal performance, maintaining product uptime and performance, identifying and implementing opportunities to automate tasks and develop reusable frameworks, and advising the organization about new technologies and automation opportunities.

🎯 Requirements

• Doctorate degree and 2 years of data science and/or engineering experience OR Master’s degree and 4 years of data science and/or engineering experience OR Bachelor’s degree and 6 years of data science and/or engineering experience OR Associate’s degree and 10 years data science and/or engineering experience OR High school diploma / GED and 12 years of data science and/or engineering experience • 5+ years in data science or data engineering with a supply chain or transactional organization focus • PhD/Master's in Data Science, Computer Science, or Industrial Engineering • Experience with one or more agile software development methodologies • Proficient in data visualization tools such as Tableau and Power BI • Strong proficiency in one or more of the following technologies: SQL, Java, Python programming languages, JavaScript web application framework (such as ReactJS) • Experience with relational databases and SQL • Familiarity with AWS services related to compute and storage, such as EC2, S3, Lambda, ECS, or Batch • Experience working in a regulated environment (e.g., cGMP, Safety, SOX, import/export, etc.) and familiarity with GMP and GDP quality systems/processes such as change control, non-conformances, CAPAs, and qualifications/validation • Understand Supply Chain systems and processes including ERP-SAP, Rapid Response, and pharmaceutical regulations • High learning agility, innovation, and analytical skills • Ability to collaborate and influence business partners to drive projects end-to-end. • Experience working as a Scrum master or in product teams • Proficiency in Python, SQL, PySpark, and Scala for data processing and ETL workflows, with experience in Databricks • Solid understanding of data modeling, data warehousing, and data integration concepts • Experience managing and mentoring data science teams • Proficient in SQL for extracting, transforming, and analyzing complex datasets from relational data stores • Proficient in JavaScript web application framework, such as ReactJS • Familiarity with the use of AI for development productivity, such as GitHub Copilot, Databricks Assistant, Amazon Q Developer, or equivalent • Experience with software engineering best practices, including but not limited to version control (Git, Subversion, etc.), automated unit testing, and DevOps • Experience with AWS, Databricks, or Azure cloud services • Experience with infrastructure as code, unit, and integration testing frameworks

🏖️ 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, including remote and hybrid work arrangements, where possible