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$12

$31

$56

How much do predictive maintenance jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for predictive maintenance in the United States is $31.57, according to ZipRecruiter salary data. Most workers in this role earn between $23.08 and $38.22 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Predictive Maintenance position, and why are they important?

To thrive in Predictive Maintenance, you need a strong analytical background, knowledge of machinery and engineering principles, and typically a degree in engineering or a related technical field. Familiarity with condition monitoring tools, data analytics platforms (such as Python, R, or specialized CMMS software), and certifications like Certified Maintenance & Reliability Professional (CMRP) are advantageous. Exceptional problem-solving, attention to detail, and communication skills help you excel when interpreting data and coordinating with cross-functional teams. These skills are crucial for effectively anticipating equipment failures, minimizing downtime, and optimizing maintenance schedules.

Will maintenance techs be replaced by AI?

Predictive maintenance technicians use data analysis, sensors, and diagnostic tools to predict equipment failures and schedule repairs. While AI can automate certain tasks like data processing and fault detection, human technicians are essential for complex troubleshooting, decision-making, and hands-on repairs. AI is expected to augment rather than fully replace maintenance techs in the foreseeable future.

What are the typical day-to-day responsibilities of someone working in Predictive Maintenance?

In a Predictive Maintenance role, your daily tasks often include monitoring equipment data, analyzing trends to detect early signs of wear or malfunction, and preparing maintenance reports or recommendations. You’ll collaborate closely with maintenance technicians, engineers, and sometimes production staff to ensure that issues are addressed before they escalate. Regularly scheduling inspections, maintaining accurate records, and updating maintenance management systems are key parts of the job. This proactive approach helps organizations improve equipment reliability, reduce unexpected breakdowns, and operate more efficiently.

What does predictive maintenance do?

Predictive maintenance involves monitoring equipment using sensors and data analysis to predict when maintenance is needed, reducing downtime and preventing failures. It often requires skills in data analysis, machine learning, and familiarity with maintenance management tools. This approach helps optimize maintenance schedules and improve operational efficiency.

What jobs will be left by 2030?

Predictive maintenance jobs are expected to grow as industries adopt advanced analytics, IoT sensors, and automation to prevent equipment failures. Roles such as maintenance technicians, data analysts, and systems engineers will remain essential, though they will increasingly require skills in data interpretation, programming, and familiarity with predictive tools. Some manual maintenance tasks may decrease as automation takes over routine inspections.

What is a Predictive Maintenance job?

A Predictive Maintenance job involves using data analysis, machine learning, and IoT sensors to monitor equipment and predict failures before they happen. Professionals in this role collect and analyze data from machines to identify patterns that indicate potential issues. They work to reduce downtime, optimize maintenance schedules, and improve overall operational efficiency. This role often requires expertise in data science, reliability engineering, and condition monitoring techniques.

What's the highest paid maintenance job?

In maintenance roles, senior industrial maintenance managers and reliability engineers tend to have the highest salaries, often exceeding $100,000 annually. These positions require advanced technical skills, certifications, and experience in predictive maintenance, equipment troubleshooting, and data analysis.
More about Predictive Maintenance jobs
What cities are hiring for Predictive Maintenance jobs? Cities with the most Predictive Maintenance job openings:
What are the most commonly searched types of Predictive Maintenance jobs? The most popular types of Predictive Maintenance jobs are:
What states have the most Predictive Maintenance jobs? States with the most job openings for Predictive Maintenance jobs include:
What job categories do people searching Predictive Maintenance jobs look for? The top searched job categories for Predictive Maintenance jobs are:
Predictive Maintenance jobs near you
Infographic showing various Predictive Maintenance job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $65,662 per year, or $31.6 per hour.
Assistant Director of Predictive Maintenance and Analytics

Assistant Director of Predictive Maintenance and Analytics

Psa Airlines

Charlotte, NC • On-site

Full-time

Posted 5 days ago

PSA Airlines rating

6.9

Company rating: 6.9 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

15th of 26 rated airlines

Job description

Overview
Let your career take off with PSA Airlines
About PSA
PSA Airlines, a wholly owned subsidiary of American Airlines, offers unparalleled opportunities for growth and professional development. We value teamwork and inclusivity and strive to create a safe, respectful, and happy work environment for our more than 5,500 team members.
At PSA we are defining the standard in regional aviation by focusing on The PSA Standard - our foundation for operation. Through our six Winning Behaviors - safe and caring, customer-centric and quality-focused, dependable and ethical, fact-based, focused and flexible, on-time, and cost-conscious - our team members are showing up every day for our customers and each other.
Join our team to enjoy comprehensive benefits, including travel privileges on the American Airlines global network, so you can explore new destinations and create unforgettable memories with family and friends.
Responsibilities
Position Summary
The Assistant Director of Predictive Maintenance and Analytics leads the development, deployment, and operational integration of predictive maintenance and analytics across the airline's fleet. Serves as a technical and strategic bridge between Technical Operations, Engineering, Maintenance Programs, Reliability, Supply Chain, and Digital/Data teams, ensuring predictive solutions deliver measurable operational value.
This Predictive Maintenance team is focused on transforming aircraft, component, and operational data into actionable predictive insights that reduce unscheduled maintenance, improve dispatch reliability, and shift events from reactive disruptions to scheduled maintenance.
Job Responsibilities
  • Leads the development and advancement of predictive maintenance analytics, setting technical direction, analytical priorities, and standards for insight quality and impact.
  • Owns the predictive maintenance roadmap, aligned to fleet strategy, operational priorities, and Tech Ops reliability goals.
  • Develops and maintain a prioritized pipeline of predictive use cases, supported by data availability, feasibility, and ROI.
  • Evaluates predictive alert performance and effectiveness, incorporating results into the airline's reliability and maintenance planning processes.
  • Collaborates with Aircraft Engineering and Maintenance Programs to integrate predictive insights into approved maintenance programs, work scopes, and task cards.
  • Oversees analysis of complex operational and sensor data (e.g., ACARS, QAR/FDR, aircraft system data, maintenance records, operational data).
  • Partners with Digital, IT, and Data Science teams to ensure scalable, reliable deployment of analytical solutions.
  • Owns business cases for predictive maintenance initiatives, including cost/benefit analysis tied to reliability, AOG avoidance, maintenance efficiency, and spares optimization.
  • Tracks and communicates measurable value delivery to Tech Ops and executive leadership.
  • Responsible for the Company's Security and Safety Management System (SMS) and associated Safety Risk Management and Safety Assurance outputs.
  • Performs other duties as assigned.

Position Specifics
Qualifications
Required
  • Master's degree in Supply Chain, Engineering, Data Science, Computer Science, Mathematics, Statistics, or a related technical discipline.
  • Experience leading predictive maintenance or aircraft health monitoring programs in an airline, OEM, or MRO environment.
  • Experience in aircraft maintenance, engineering, reliability, or aviation analytics, with demonstrated exposure to predictive or condition-based maintenance concepts.
  • Proven ability to lead technical teams and manage cross-functional initiatives.
  • Strong analytical and systems-thinking mindset with the ability to translate data into operational decisions.
  • Excellent communication skills, with the ability to brief senior and executive leadership on technical topics.
  • Familiarity with machine learning, statistical modeling, anomaly detection, or advanced analytics in operational settings.
  • Proficiency in analytic tools, strong familiarity with Python, SQL, or similar analytical tools.
  • Ability to speak/read/write in English.
  • If hired, must be able to demonstrate that you are authorized to work in the U.S.

Preferred
  • Experience leading predictive maintenance or aircraft health monitoring programs in an airline, OEM, or MRO environment.
  • Working knowledge of aircraft systems and maintenance processes (CRJ experience a plus).
  • Familiarity with machine learning, statistical modeling, anomaly detection, or advanced analytics in operational settings.
  • Proficiency in or strong familiarity with Python, SQL, or similar analytics tools.
  • Experience working directly with OEMs, lessors, or regulators on reliability and maintenance initiatives.

Additional Information
Supervisory Responsibility: This is not a supervisory position.
Delegation: In absence, responsibilities delegated to Vice President of Technical Operations Strategy and Sourcing.
Authorities: None
Work Environment: This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, telephones, photocopiers, facsimile machines and filing cabinets.
Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk or hear. This is largely a sedentary role; however, the employee is frequently required to stand; walk; climb up and down stairs; lift weight up to 25 lbs; use hands to handle or feel; and reach with hands and arms.
AAP/EEO Statement: PSA Airlines is an equal opportunity employer; qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex (including pregnancy, gender identity and sexual orientation), national origin, citizenship status, age, disability, genetic information, protected veteran status or any other characteristic protected by law.
Security Clearance: All employees are required to pass the fingerprint-based criminal history records check (CHRC) per 49CFR1542.209 as well as a pre-employment drug screen.
Other Duties: Please note this job description is not designated to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

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