Senior Manager Data Engineer- US Remote

Career Category

Strategy and Innovation

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. 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.

Senior Manager Data Engineer

What you will do

Let’s do this. Let’s change the world. 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. The scope of the organization includes Raw Materials, Devices, Contract Development Manufacturing and Portfolio Strategy & Execution functions. 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:

• Strategically plan and implement the digital roadmap for External Supply

• Collaborate with IT, supply chain, operations, and product management teams to translate business requirements into technical solutions

• Promote the utilization of artificial intelligence and the newest technologies available in the organization

• Identify and evaluate technology and business trends to improve product outcomes

• Lead and mentor a team of data engineers and data scientists

• Review and approve products before their release

• Develop and complete proof of concepts (POCs) for new methodologies

• Plan product releases and set expectations with customers for new functionality

• Apply advanced analytics to extract insights from complex datasets

• Understand data governance frameworks, tools, and best practices

• Drive automation and process improvement within the External Supply Organization

• Align solutions with company strategy, cyber security standards, and operating procedures

• Optimize AWS and Databricks infrastructure for optimal performance

• Maintain product uptime and performance

• Identify and implement opportunities to automate tasks and develop reusable frameworks

• Advise the organization about new technologies and automation opportunities

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is a self-starter with these qualifications.

Basic Qualifications:

• 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

Preferred Qualifications:

• 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, Sa