Data Manager - Enterprise Asset Management/Computerized Maintenance Management System

Amgen - Thousand Oaks, CA

Full-time - Mid Level

Remote - Thousand Oaks, CA

10,001+ employees

Chemical Manufacturing

About the position

At Amgen, the Data Manager for Enterprise Asset Management (EAM) and Computerized Maintenance Management System (CMMS) plays a crucial role in managing and optimizing system data related to maintenance operations. This position involves undertaking various projects aimed at developing, implementing, managing, and monitoring all aspects of system data. The Data Manager will support initiatives to integrate CMMS data with other business systems, such as Enterprise Resource Planning (ERP) systems and Manufacturing Execution Systems (MES), to provide a comprehensive view of maintenance operations. As the in-house data steward for Amgen's EAM/CMMS database, the Data Manager will be responsible for ensuring data quality, conducting audits, and taking corrective actions as necessary. This role requires the management of data from its requirements through to retirement, with a focus on improving business processes and agility while reducing costs. The Data Manager will also be tasked with data validation, clean-up, and adherence to enterprise data standards and business requirements. In addition, the Data Manager will work to improve the methods by which Amgen's facilities and equipment maintenance program collects and analyzes data. This includes identifying digital solutions to enhance efficiencies within maintenance business processes and supporting the business in maximizing the value derived from the EAM/CMMS system. The role also involves analyzing maintenance data to identify trends and insights that can improve equipment reliability and optimize maintenance schedules. The Data Manager will develop and generate reports on key performance indicators (KPIs) related to maintenance activities, enabling Asset Performance Management (APM) tools to implement predictive maintenance strategies. This position requires collaboration with the data science team and other functional networks to drive continuous improvement initiatives based on insights gained from data analysis. The Data Manager will lead initiatives related to data analytics and work closely with software improvement teams to enhance maintenance data analysis capabilities.

Responsibilities

• Support initiatives and actively participate in integrating CMMS data with other business systems such as ERP and MES.
• Act as the in-house data steward/owner for Amgen's EAM/CMMS database and reporting tools.
• Develop queries/reports to support standardization within the EAM/CMMS application.
• Monitor and audit data quality, taking corrective actions as necessary.
• Manage data from requirements through retirement to improve business processes and agility while reducing costs.
• Conduct data validation, clean-up, and ensure adherence to enterprise data standards and business requirements.
• Improve methods for data collection and analysis in Amgen's facilities and equipment maintenance program.
• Identify digital solutions to improve efficiencies within maintenance business processes.
• Support the business in achieving maximum value from the EAM/CMMS system.
• Advance the use of EAM/CMMS system functionality to improve workflow and process.
• Maintain appropriate records and documentation to satisfy regulatory requirements.
• Analyze maintenance data to identify trends, patterns, and insights that can improve equipment reliability and reduce downtime.
• Develop and generate reports on KPIs related to maintenance activities.
• Enable APM tools to implement predictive maintenance strategies based on historical data patterns.
• Design and create visualizations and dashboards to communicate findings effectively.
• Uncover trends and correlations through data mining and analysis to develop insights for effective decision-making.
• Collaborate with Amgen's data science team to unlock new value drivers from data.
• Partner with functional networks and site management to develop and implement equipment reliability plans.
• Drive continuous improvement initiatives based on insights from data analysis.

Requirements

• Doctorate degree OR
• Masters degree and 2 years of relevant experience managing EAM/CMMS data reporting and analytics, or maintenance engineering experience OR
• Bachelors degree and 4 years of relevant experience managing EAM/CMMS data reporting and analytics, or maintenance engineering experience OR
• Associates degree and 8 years of relevant experience managing EAM/CMMS data reporting and analytics, or maintenance engineering experience OR
• High school diploma / GED and 10 years of relevant experience managing EAM/CMMS data reporting and analytics, or maintenance engineering experience.

Nice-to-haves

• Bachelors degree in Data Science, Computer Science, Business, or Engineering
• Experience with data system development and management; knowledge of EAM/CMMS Systems
• Knowledge of Industry 4.0
• Experience with Agile methodologies
• Data analytics skills and proficiency in systems (Maximo, SAP, Excel, Brio, Tableau, and/or Python)
• Experience with equipment maintenance and reliability centered maintenance (RCM) concepts
• Knowledge of ISO 55000 Asset Management Principles
• Knowledge of data visualization tools such as Tableau, Power BI, JMP, BO etc
• Proficiency in data management and analytics tools
• Strong analytical skills with the ability to interpret complex data sets and identify trends and patterns
• Excellent attention to detail and accuracy in data collection and analysis
• Ability to work independently, as well as collaboratively in a team environment
• Effective and strong interpersonal and communication skills
• Demonstrated skills leading global programs and initiatives
• Program development and project management skills.

Benefits

• Comprehensive employee benefits package including health and welfare plans
• Retirement and Savings Plan with generous company contributions
• Group medical, dental and vision coverage
• Life and disability insurance
• Flexible spending accounts
• Discretionary annual bonus program
• Stock-based long-term incentives
• Award-winning time-off plans and bi-annual company-wide shutdowns
• Flexible work models, including remote work arrangements where possible.