Senior Condition Monitoring Advisor - Reliability

Caterpillar · Industrial · Belo Horizonte, Minas Gerais, Sao Paulo, São Paulo

This role involves monitoring the health of industrial machinery by integrating and analyzing multi-source datasets, including fluid analysis, telematics, and inspection reports. It utilizes advanced analytics and machine learning models to detect patterns, predict failures, and generate actionable insights for optimized asset performance. The role also involves analyzing and correlating data from various sources, providing expert recommendations through software tools, and engaging with customers and dealers to enhance machine uptime and reduce total cost of ownership.

What you'd actually do

  1. Monitor Machine Health: Oversee the condition of 100–150 Caterpillar machines by integrating and analyzing extensive, multi-source datasets across the five elements of condition monitoring: SOS fluid analysis, product link/VIMS data, inspection reports, backlog management, and site conditions. Utilize advanced analytics and machine learning models to detect subtle patterns, predict failures, and generate actionable insights for optimized asset performance.
  2. Analyze & Correlate Data: Aggregate and correlate data from all five condition monitoring elements to identify trends, detect issues early, and prioritize actions using enabling software tools and systems. Leverage not only near real-time data but also extensive historical records to identify long-term trends and recurring issues. Employ advanced analytics and machine learning models to detect subtle patterns and predict failures, while correlating findings with global fleet data to benchmark performance, uncover emerging risks, and validate insights across diverse operating environments. Address the complexities of data integration, variable site conditions, and equipment configurations to generate actionable insights for optimized asset performance.
  3. Provide Expert Recommendations: Deliver actionable equipment recommendations by way of purpose-built Caterpillar software tools to Caterpillar dealers and customers to enhance machine health, maximize uptime, and increase customer value.
  4. Reporting & Communication: Send Condition Monitoring recommendations using custom software tools and verbal updates to customers and dealers. Provide clear, data-driven insights and recommendations.
  5. Customer & Dealer Engagement: Lead regular meetings with customers, Caterpillar dealers, product groups to review equipment performance and contribute to action plans.

Skills

Required

  • Condition monitoring
  • Data analysis
  • Machine learning
  • Predictive maintenance
  • Equipment monitoring
  • Customer engagement
  • Technical reporting
  • Problem-solving

Nice to have

  • Mining equipment
  • Construction equipment
  • Fleet management
  • Telematics data analysis
  • Fluid analysis

What the JD emphasized

  • advanced analytics and machine learning models
  • predict failures
  • actionable insights

Other signals

  • machine learning models
  • advanced analytics
  • predict failures
  • asset performance