Data Manager - Enterprise Asset Management/Computerized Maintenance Management System
US - California - Thousand Oaks
Amgen
Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics.Career Category
Sales & Marketing OperationsJob Description
HOW MIGHT YOU DEFY IMAGINATION?
You’ve worked hard to become the professional you are today and are now ready to take the next step in your career. How will you put your skills, experience and passion to work toward your goals? At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies, reaching over 10 million patients worldwide. Come do your best work alongside other innovative, driven professionals in this meaningful role.
Data Manager - Enterprise Asset Management/Computerized Maintenance Management System
Live
What you will do
Let’s do this! Let’s change the world! Undertake various projects assigned to develop, implement, manage, and monitor all aspects of system data as it relates to Amgen’s Enterprise Asset Management (EAM) / Computerized Maintenance Management System (CMMS) application.
Responsibilities include:
Support initiatives and actively participate on integrating CMMS data with other business systems such as Enterprise Resource Planning (ERP) systems or Manufacturing Execution Systems (MES) to provide a comprehensive view of maintenance operations.
Act as the in-house data steward/owner for Amgen’s EAM/CMMS database and reporting tools.
Be the corporate expert on the information structure within the EAM/CMMS application and develop queries/reports to support standardization.
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.
Data validation, clean-up, and adherence to enterprise data standards and business requirements.
Improve the methods and ways in which Amgen’s facilities and equipment maintenance program obtains and analyzes data including collecting and interpreting data, analyzing and reporting results, identifying patterns and trends in data, and defining new data collection and analysis processes.
Identify digital solutions to improve efficiencies within the Maintenance business processes.
Support and assist the business in achieving maximum value from the EAM/CMMS system.
Advance the use of EAM/CMMS system functionality/capability to improve workflow and process.
Maintain appropriate records and documentation to satisfy regulatory requirements.
Analyze maintenance data generated by the EAM/CMMS to identify trends, patterns, and insights that can improve equipment reliability, reduce downtime, and optimize maintenance schedules.
Develop and generate reports on key performance indicators (KPIs) related to maintenance activities, such as work order execution, equipment reliability business metrics and maintenance costs.
Enable Asset Performance Management (APM) tools to improve the utilization of data analytics to implement predictive maintenance strategies, identifying potential equipment failures before they occur based on historical data patterns.
Design and create visualizations and dashboards to help communicate findings and results effectively to team members.
Uncover trends and correlations through data mining and analysis to develop insights that can improve the business and help make effective decisions.
Collaborate and innovate with Amgen data science team to unlock new value drivers from our data.
Partner with functional networks and site management to develop and implement equipment reliability plans.
Drive continuous improvement initiatives based on insights gained from data analysis, collaborating with maintenance teams to implement best practices and optimize maintenance processes.
Collaborate with Amgen business units, site, and functional partners to deliver results; influence and communicate effectively with clients.
Lead initiatives related with data analytics. Lead initiatives interacting with DTI teams responsible for software improvements and engineering teams responsible for analyzing, and interpreting maintenance data.
Win
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 an individual with these qualifications.
Basic Qualifications:
Doctorate degree OR
Master’s degree and 2 years of relevant experience managing the Enterprise Asset Management (EAM) / Computer Maintenance Management System (CMMS) data reporting and analytics, or maintenance engineering experience OR
Bachelor’s degree and 4 years of relevant experience managing the Enterprise Asset Management (EAM) / Computer Maintenance Management System (CMMS) data reporting and analytics, or maintenance engineering experience OR
Associate’s degree and 8 years of relevant experience managing the Enterprise Asset Management (EAM) / Computer Maintenance Management System (CMMS) data reporting and analytics, or maintenance engineering experience OR
High school diploma / GED and 10 years of relevant experience managing the Enterprise Asset Management (EAM) / Computer Maintenance Management System (CMMS) data reporting and analytics, or maintenance engineering experience
Preferred Qualifications:
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 Principals
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.
Thrive
What you can expect of us
As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being.
The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.
Amgen offers a Total Rewards Plan comprising health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities including:
Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts.
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
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
Apply now
for a career that defies imagination
Objects in your future are closer than they appear. Join us.
careers.amgen.com
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
.Salary Range
114,897.00 USD - 133,310.00 USDTags: Agile Computer Science Data analysis Data Analytics Data management Data Mining Data quality Data visualization Engineering Excel KPIs Power BI Predictive Maintenance Python Tableau
Perks/benefits: Career development Equity / stock options Flex vacation Health care Insurance Salary bonus Startup environment
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