Sr Reliability Engineer

Position Purpose

This position is responsible for the equipment reliability and maintenance strategy of utility and manufacturing equipment through continuous monitoring of equipment operational performance and implementing actions needed for improvement (Reliability-Centered Maintenance). Develops engineering solutions to repetitive failures and all other problems that adversely affect plant operations by applying data analysis techniques (statistical process control, reliability modeling and prediction, fault tree analysis, Six Sigma (6σ) methodology, etc.), root cause analysis (RCA), root cause failure analysis (RCFA), and failure reporting, analysis, and corrective action system (FRACAS).

Reporting Relationships

Role that this position reports to: Head of Reliability Engineering

Role/s that report to this position: N/A

Main Responsibilities and Accountabilities

Technical Lead for Equipment Reliability:

§  Serve as the reliability leader within the organization, mentoring and coaching junior engineers and technicians on best practices in equipment reliability and mechanical integrity.

§  Lead reliability improvement teams and collaborate with other departments (e.g., Operations, Maintenance, Engineering) to address equipment issues and improve overall plant reliability.

§  Use reliability engineering tools like Failure Modes and Effects Analysis (FMEA) and Root Cause Analysis (RCA) to analyze maintenance and integrity data trends

§  Promote a culture of reliability and continuous improvement through proactive leadership, problem-solving, and cross-departmental collaboration.

§  Develop, implement, and maintain comprehensive maintenance strategies and mechanical integrity (MI) plans for plant equipment, including pressure vessels, piping, and rotating equipment.

§  Continuously improve maintenance programs (PMs), Bill of Materials (BOMs), and spare parts inventories to ensure regulatory compliance.

§  Collaborate with engineering teams on equipment classification, SAP location hierarchy, asset information population, and acquisition of equipment manuals

Reliability Analytics:

§  Utilize advanced data analysis, statistical modeling, and machine learning algorithms to analyze equipment performance data and predict potential failures.

§  Develop predictive maintenance models to forecast equipment failures and implement proactive maintenance actions, minimizing unplanned downtime and extending equipment lifespan.

§  Identify and implement opportunities for reliability and mechanical integrity improvement to enhance equipment uptime and performance.

§  Develop Power BI dashboards to visualize reliability data and performance metrics, enabling better decision-making and communication of reliability improvements to stakeholders.

Mechanical Integrity and Inspection Programs:

§  Oversee mechanical integrity programs to ensure the safe and reliable operation of pressure vessels, piping systems, and rotating equipment.

§  Implement and manage risk-based inspection (RBI) programs to ensure compliance with industry standards and regulatory requirements (API, ASME, OSHA).

§  Recommend and implement improvements to ensure the effectiveness of maintenance and mechanical integrity programs.

§  Ensure that all equipment meets mechanical integrity standards through regular inspections and the application of non-destructive testing (NDT) methods.

Management of CMMS Data Integrity & Reliability-Centered Maintenance (RCM):

§  Ensure CMMS data integrity to support preventive, predictive, and condition-based maintenance processes, including mechanical integrity requirements.

§  Oversee maintenance planning processes and the evaluation of new predictive technologies.

§  Lead the application of predictive maintenance (PdM) technologies and non-destructive testing (NDT) methods to minimize downtime and ensure the structural integrity of critical assets.

Predictive Maintenance Technologies:

§  Lead the application of predictive maintenance technologies to monitor and improve equipment reliability.

§  Oversee the use of the following technologies for condition monitoring:

1.       Vibration Analysis

2.       Ultrasound Scanning

3.       Infrared Scanning

4.       Oil Analysis

5.       Eddy Current

6.       Liquid Penetrating Testing

7.       Dynamic/Static Motor Current Testing

§  Use these tools to detect early