Predictive Maintenance Engineer - Health Hub Manager

ALSTOM Transmission & Distribution; Riyadh; On-site; SAR 200,000 - 250,000; Full time

Job summary

A global technology firm in Riyadh, Saudi Arabia, is seeking an experienced expert in predictive maintenance to optimize maintenance processes within the rail systems. In this role, you will lead the development of tools, collaborate with diverse teams, and ensure alignment with industry standards. Ideal candidates have a degree in Engineering or Computer Science, strong data analysis skills, and experience in the transportation industry. This role offers stability and numerous growth opportunities in a dynamic working environment.

Benefits

Comprehensive and competitive social coverage

Investment in development through learning programs

Opportunities for leadership advancement

Qualifications

• Proven experience in predictive maintenance, preferably within the railway or transportation industry.
• Strong understanding of maintenance optimization practices and tools.
• Deep understanding of data science processes including data management and predictive modeling.

Responsibilities

• Lead the design, development, and implementation of predictive maintenance tools.
• Formulate and execute predictive maintenance strategies to minimize downtime.
• Coordinate with internal and external stakeholders for integration of solutions.

Skills

Predictive maintenance expertise

Data analysis and statistical methods

Advanced programming skills in Python

Excellent project management skills

Strong communication and interpersonal skills

Education

University degree in Engineering, Computer Science, or related field

Tools

R Studio

TCMS (Train Control and Management System)

Job description

At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, more than 80 000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars.

Your future role

Take on a new challenge and apply your predictive maintenance expertise in a cutting‑edge field. You’ll work alongside innovative and collaborative teammates.

You’ll play a pivotal role in optimizing maintenance processes and ensuring the reliability and efficiency of our rail systems. Day‑to‑day, you’ll work closely with teams across the business, such as the Health Hub & CMMS organization, Engineering Directors, Operations Directors, and Project Managers, to design and implement predictive maintenance tools and strategies. You’ll also collaborate with external stakeholders like Consortium CMMS managers to ensure alignment with industry standards and project requirements.

You’ll specifically take care of developing and deploying predictive maintenance tools, including Health Hub, but also optimizing maintenance processes through data‑driven insights and continuous improvement initiatives.

We’ll look to you for:

• Leading the design, development, and implementation of predictive maintenance tools, including Health Hub
• Formulating and executing predictive maintenance strategies to minimize equipment downtime and enhance asset reliability
• Driving the optimization of maintenance activities by leveraging predictive insights
• Coordinating with internal and external stakeholders to integrate predictive maintenance solutions into projects
• Providing training and support to maintenance personnel on predictive maintenance tools and techniques
• Developing and maintaining key performance indicators (KPIs) to measure the effectiveness of predictive maintenance initiatives
• Ensuring compliance with safety regulations and industry standards
• Fostering a culture of safety and continuous improvement within the maintenance team

All about you

We value passion and attitude over experience. That’s why we don’t expect you to have every single skill. Instead, we’ve listed some that we think will help you succeed and grow in this role:

• A university degree in Engineering, Computer Science, or a related field
• Proven experience in predictive maintenance, preferably within the railway or transportation industry
• Strong understanding of maintenance optimization practices and tools
• Proficiency in data analysis and statistical methods
• Strong knowledge of TCMS (Train Control and Management System)
• Advanced programming skills in Python
• Experience with R Studio for statistical analysis and data science tasks
• Deep understanding of data science processes, including data management, data analysis, and predictive modeling
• Excellent project management and organizational skills
• Proactive, methodical, and analytical mindset
• Strong communication and interpersonal skills, with the ability to work collaboratively with diverse teams
• At least 8 years of work experience

Things you’ll enjoy

Join us on a life‑long transformative journey – the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. You’ll also:

• Enjoy stability, challenges, and a long‑term career free from monotonous daily routines
• Work with new security standards for rail signaling
• Collaborate with transverse teams and supportive colleagues
• Contribute to innovative projects that shape the future of mobility
• Utilize our dynamic and inclusive working environmentSteer your career in whatever direction you choose across functions and countries
• Benefit from our investment in your development, through award‑winning learning programs
• Progress towards leadership opportunities in predictive maintenance or other roles
• Benefit from a fair and dynamic reward package that recognizes your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension)

You don’t need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, you’ll be proud. If you’re up for the challenge, we’d love to hear from you!

Important to note

As a global business, we’re an equal‑opportunity employer that celebrates diversity across the 63 countries we operate in. We’re committed to creating an inclusive workplace for everyone.