AI Product Owner β€” Predictive Maintenance Leader in Perth

AI Product Owner β€” Predictive Maintenance Leader in Perth

Perth Full-Time 57084 - 69770 $ / year (est.) On-site
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At a Glance

  • Tasks: Shape and deliver predictive maintenance products using AI to enhance equipment management.
  • Company: Fortescue Metals Group, a leader in the mining industry based in Perth.
  • Benefits: Competitive salary, career growth, and the chance to work with innovative technology.
  • Other info: Collaborative environment with opportunities to work across diverse teams.
  • Why this job: Make a real impact by transforming operational needs into effective AI solutions.
  • Qualifications: Experience in product ownership and a passion for AI and maintenance strategies.

The predicted salary is between 57084 - 69770 $ per year.

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.

AI Product Owner β€” Predictive Maintenance Leader in Perth employer: Fortescue Metals Group

Fortescue Metals Group offers a dynamic work environment where employees can engage with cutting-edge technologies, particularly in AI-assisted software development. The company emphasizes collaboration across teams, providing opportunities for mentorship and professional growth. Employees are encouraged to solve complex business problems while contributing to sustainable practices in enterprise AI.

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Contact Details:

Fortescue Metals Group Recruitment Team

We think you need these skills to ace AI Product Owner β€” Predictive Maintenance Leader in Perth

Product Strategy Development
Roadmap Creation
Collaboration Skills
Predictive Maintenance Knowledge
Operational Needs Assessment
AI Opportunities Identification
Stakeholder Engagement