AI Product Owner — Predictive Maintenance Leader

Fortescue Metals Group; Western Australia; On-site; AUD 140,000 - 210,000; Full time

Job summary

Fortescue Metals Group in Perth is seeking an AI Product Owner to shape and deliver predictive maintenance products within the Maintenance AI program. You will turn operational needs and AI opportunities into clear product strategies, roadmaps and outcomes that help the business maintain equipment more effectively.

You will collaborate with maintenance, engineering, operations, data and software teams to identify where predictive maintenance can add value, define priorities, and guide products

Qualifications

• Experience in predictive maintenance in heavy equipment or industrial settings.
• Engineering or software development background with cross-functional work.
• Experience shaping products, roadmaps and backlogs.
• Strong facilitation and communication skills for workshops.
• Collaborative, outcomes-focused, and trustworthy with stakeholders.
• Curiosity about AI and data in maintenance.

Responsibilities

• Develop and maintain the roadmap for predictive maintenance products.
• Lead stakeholder workshops to explore ideas and define plans.
• Translate operational needs into product goals and user stories.
• Prioritise backlogs and guide delivery teams for value.
• Collaborate with engineering, maintenance, operations, data, and AI teams.
• Track product performance and drive improvements.
• Maintain product documentation and performance information.
• Foster responsible AI use across the business.

Skills

Predictive maintenance

Product ownership

Roadmapping

Stakeholder facilitation

Cross-functional teamwork

Education

Engineering degree

Job description

Fortescue Metals Group in Perth is seeking an AI Product Owner to shape and deliver predictive maintenance products within the Maintenance AI program. You will turn operational needs and AI opportunities into clear product strategies, roadmaps and outcomes that help the business maintain equipment more effectively.

You will collaborate with maintenance, engineering, operations, data and software teams to identify where predictive maintenance can add value, define priorities, and guide products