Data Analytics Manager

Career Category

Information Systems

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.

What you will do

Let’s do this. Let’s change the world. In this vital role you will be responsible for aligning the team's automation projects with organizational security goals, fostering innovation in machine learning applications, and maintaining up-to-date practices by staying abreast of industry trends. A key aspect of the role is to champion the benefits of automation across the organization, encourage continuous professional growth within the team, and produce robust technical documentation and user guides to support the adoption of automated processes. Effective leadership, combined with a deep understanding of cybersecurity and automation, will drive the team towards achieving enhanced security efficiency and effectiveness.

Roles & Responsibilities:

Lead and manage a team of data scientists, data engineers, and analysts focused on security analytics and AI-driven automation. Define and execute the roadmap for security data platforms, analytics, and AI/ML solutions aligned with organizational priorities Oversee the design, development, and deployment of scalable data pipelines, analytics models, and MLOps-enabled solutions. Champion the adoption of generative AI and agent-based systems (e.g. autonomous agents for threat detection, investigation, and response automation) Collaborate with cybersecurity, IT, and engineering teams to integrate data-driven and AI-powered solutions into security operations workflows Ensure high data quality, governance, and reliability across security data platforms and pipelines Collaborate with stakeholders to establish and supervise KPIs related to SAFe implementation Generate and maintain security reports, metrics, and dashboards for management review Keep up to date with the latest security threats, trends, and technologies, and provide recommendations for improving security operations Build and deliver knowledge sharing presentations and documentation to educate developers and operations teams on application security standard methodologies and secure coding techniques What we expect of you We are all different, yet we all use our unique contributions to serve patients.