Principal Engineer – CMMS Data

The Principal Engineer at Amgen leads the design and development of manufacturing processes and equipment. They are responsible for solving complex engineering problems, driving innovation, and enhancing efficiency and safety in production lines. They mentor junior engineers and collaborate with cross-functional teams to deliver on strategic objectives.

Role Description

The Principal Engineer, Computerized Maintenance Management System (CMMS) Data is responsible for global execution and maintenance of Amgen’s CMMS.  This role supports initial asset incorporation, end-to-end asset lifecycle management, and associated compliance across Engineering and Facilities operations. 

Reporting to the Director, Engineering Systems, Technology & Reporting, this role supports CMMS deployment and management, global reliability, and CMMS data strategy. 

Roles & Responsibilities

• Owns CMMS roadmap execution and improvement planning. 

• Owns and maintains applicable CMMS process governing and guidance documents. 

• Serves as CMMS subject matter expert; engages applicable site resources (e.g. equipment engineers) and provides technical consultation and training when necessary. 

• Leads system enhancements, upgrades, stabilization enhancements, and adoption initiatives. 

• Ensures CMMS solutions support asset reliability, maintenance strategies, and compliance requirements. 

• Supports standardization of processes and data structures across the portfolio of CMMS records. 

• Supports root cause analysis and ensures implementation of CMMS-related preventive and corrective actions. 

• Supports management of traditional preventive maintenance as well as deployment of advanced maintenance strategies (such as predictive and proactive maintenance). 

• Partners with Technology, vendors, and business stakeholders to deliver scalable and secure solutions. 

• Manages risks, dependencies, and delivery discipline across CMMS initiatives. 

• Monitors and improves CMMS effectiveness and value (e.g. using internal feedback and external benchmarking data) 

• Advances application of Artificial Intelligence to CMMS data and applications to improve effectiveness and efficiency. 

Basic Qualifications

• Comes from Workday – AIN Team to Provide 

Preferred/ Good to have Qualifications

• Experience managing regulated assets and asset maintenance data records. 

• Demonstrated experience improving asset performance, reliability, and value using data and collaborating with equipment engineering subject matter experts. 

• Data-driven mindset with experience using metrics, analytics, or insights to guide decisions and continuous improvement. 

• Strong collaboration and influencing skills, including the ability to lead outcomes without direct authority. 

• Experience partnering with Technology, Operations (e.g. Manufacturing and Engineering), Quality, Compliance, and Business stakeholders in regulated environments. 

• Excellent organizational, communication, and stakeholder management skills, with the ability to clearly convey complex technical, system, or data-driven topics to diverse audiences. 

• Demonstrated capability to support change management, user adoption, and continuous improvement initiatives. 

• Strong expertise in data governance, analytics platforms (e.g., Power BI), and collaboration tools (e.g., Teams, SharePoint). 

• Demonstrated ability to apply engineering principles to business processes, problems, and decisions. 

• Demonstrated experience translating client needs into program-controlled business processes. 

• Demonstrated ability to work effectively in a matrixed, cross-functional, and fast-paced global environment. 

• Demonstrated experience leading global teams and partnering with enterprise Technology organizations. 

• Experience working across regions and time zones with cultural awareness and adaptability. 

• Proven experience managing multiple priorities, interdependencies, and competing demands while maintaining strong execution discipline.