JOB SUMMARY:

We are seeking a Predictive Maintenance Analyst with a strong foundation in Reliability Engineering to join our team and support our digital transformation efforts.
The ideal candidate will be responsible for analyzing asset performance, identifying failure patterns, and deploying predictive maintenance strategies using advanced tools and technologies.
This role involves regular travel to operational sites to assess equipment and engage with cross-functional teams.

REQUIRED QUALIFICATIONS:

• 5+ years of experience in predictive maintenance, reliability engineering, or a related field
• Vibration Analyst (ISO CAT II or higher) certification
• MLA/MLT oil analysis certification
• Experience in digital transformation initiatives, including the implementation of IIoT, data analytics, or digital twins
• Hands-on experience with condition monitoring tools and software (e.g., vibration analysis, ultrasonic testing, etc.)
• Strong analytical and problem-solving skills
• Familiarity with CMMS/EAM systems (e.g., SAP PM, Maximo, Infor)
• Understanding of reliability tools such as RCM, FMEA, Weibull analysis, etc.
• Excellent communication and presentation skills
• Willingness to travel up to 40% to support field operations and project implementations

PREFERRED QUALIFICATIONS:

• Bachelor’s degree in Reliability Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering, or a related field
• Certified Maintenance & Reliability Professional (CMRP)
• Reliability-Centered Maintenance (RCM) Certification
• Six Sigma Green Belt or higher
• Proficiency with data visualization tools (Power BI, Tableau, etc.)
  Excited about this role but don’t think you meet every requirement listed? Studies show that often applicants will self-select out if they don’t check every box. We encourage you to apply anyway. You may be just the right candidate for this role or another one of our openings.
  ADM requires the successful completion of a background check. Relocation assistance may be available for this opportunity.

• Develop, implement, and optimize predictive maintenance programs using condition monitoring, vibration analysis, infrared thermography, oil analysis, and other techniques
• Collaborate with reliability engineers, maintenance teams, and data scientists to assess equipment health and prevent unplanned downtime
• Integrate and leverage digital tools (CMMS, IoT sensors, cloud analytics, machine learning models) to enhance maintenance decision-making
• Analyze historical and real-time data to identify degradation trends, failure modes, and performance improvement opportunities
• Support the deployment of digital transformation initiatives related to asset performance and reliability optimization
• Generate detailed technical reports and KPIs to communicate findings and recommendations to stakeholders
• Train on-site personnel on predictive technologies and facilitate a culture of proactive maintenance
• Travel to various facilities and operational locations to conduct assessments, audits, and training sessions