Manager Information Systems, Manufacturing Data Analytics

Manager Information Systems, Manufacturing Data Analytics

What you will do

In this vital role would you like to take your data analytics and advanced technology skills and help deliver the world's most sophisticated and life-changing biotech medicines by building creative and ground-breaking software frameworks

Amgen is using cloud technology, DevSecOps frameworks, and continuous deployment pipelines to build new drug therapies for patients that address grievous illnesses. We are seeking a Manager Information Systems Mfg data analytics product team for a position in Amgen's Operations Digital, Technology, and Innovation Organization.

This role will develop and expand digital capability focused on shaping and delivering world-class technology systems and tools for Operations Manufacturing & Engineering and beyond. As part of this role, you will be designing and developing robust data models, data pipelines and data products on innovative technologies as part of a product team of data scientists, business analysts, and software engineers.

Roles & responsibilities

• Provide technical leadership to enhance the culture of innovation, automation, and solving difficult scientific and business challenges. Technical leadership includes providing vision and direction to develop scalable reliable solutions.
• Develop and implement data analytics strategies aligned with manufacturing and quality objectives.
• Lead multi-functional teams in the deployment of analytics tools and platforms.
• Partner with manufacturing, quality, process development, and IT collaborator to define data needs and deliver value-driven solutions.
• Drive the development of dashboards, predictive models, and advanced analytics use cases (e.g., process optimization, deviation reduction, batch yield improvement).
• Translate business problems into analytics solutions using machine learning, statistical analysis, and data visualization.
• Champion the use of digital twins and real-time data monitoring in manufacturing processes.
• Manage a team of data analysts, engineers, or contractors.
• Lead projects using agile or hybrid methodologies and ensure timely delivery within budget and scope.

What we expect of you

Basic Qualifications and Experience

• Doctorate degree / Master's degree / Bachelor's degree and 8 to 13 years of experience in Life Science / Biotechnology / Pharmacology / Information Systems experience

Functional Skills

Must-Have Skills (Not more than 3 to 4):

• Excellent communication and interpersonal skills, with the ability to work closely with multi-functional GTM, product, and engineering teams.
• Minimum of 8+ years overall Software Engineer or Cloud Architect experience
• Minimum 3+ years in architecture role using public cloud solutions such as AWS
• Experience with AWS Technology stack
• Experience with React JS / Tableau

Good-to-Have Skills:

• Familiarity with big data technologies, AI platforms, and cloud-based data solutions.
• Ability to work effectively across matrixed organizations and lead collaboration between data and AI teams.
• Passion for technology and customer success, particularly in driving innovative AI and data solutions.
• Experience working with teams of data scientists, software engineers and business experts to drive insights
• Experience with AWS Services such as EC2, S3, Redshift/Spectrum, Glue, Athena, RDS, Lambda, and API gateway.
• Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc)
• Solid understanding of relevant data standards and industry trends
• Ability to understand new business requirements and prioritize them for delivery
• Experience working in biopharma/life sciences industry
• Proficient in one of the coding languages (Python, Java, Scala)
• Hands on experience writing SQL using any RDBMS (Redshift, Postgres, MySQL, Teradata, Oracle, etc.).
• Experience with Schema Design & Dimensional data modeling.
• Experience with software DevOps CI/CD tools, such Git, Jenkins, Linux, and Shell Script
• Hands on experience using Databricks/Jupyter or similar notebook environment.
• Experience working with GxP systems
• Experience working in an agile environment (i.e. user stories, iterative development, etc.)
• Experience working with test-driven development and software test automation
• Experience working in a Product environment

Soft Skills:

• Excellent analytical and fix skills.
• Ability to work effectively with global, virtual teams
• High degree of initiative and self-motivation.
• Ability to manage multiple priorities successfully.
• Team-oriented, with a focus on achieving team goals