ABOUT US

Fortescue is both a proud West Australian company and a global green solutions business. We are recognised for our culture, innovation and industry-leading development of infrastructure, mining assets and green energy initiatives.

QUALIFICATIONS AND EXPERIENCE

• 5–10 years of experience in mining or heavy industry maintenance, with demonstrated leadership in planning, shutdowns, or reliability
• Strong working knowledge of maintenance systems, particularly SAP PM, master data structures, and digital shutdown planning tools
• Experience leading cross-functional teams and delivering technology solutions that embed into operations
• Familiarity with AI or advanced analytics (including agent-based systems, machine learning models, or autonomous workflows) is highly desirable
• Knowledge of modern product development practices (e.g., agile, OKRs, design thinking, DevOps)
• Tertiary qualifications in engineering, maintenance management, or related technical or technology fields
• Deep curiosity and commitment to innovation, paired with a practical mindset to deliver value at scale.

• Own and deliver a product roadmap of AI solutions focused on maintenance—including shutdown optimisation, condition-based maintenance, and intelligent planning
• Partner closely with maintenance, planning, and reliability leaders to ensure AI products meet real-world needs and enable measurable performance improvements
• Translate operational challenges into actionable product strategies, leveraging AI agents, predictive models, and real-time data
• Drive adoption of AI-enabled workflows across fixed plant and mobile maintenance, including change management, user training, and business process redesign
• Ensure products are scalable, supportable, and well-integrated into core systems (e.g., SAP), including master data quality and lifecycle maintenance
• Track product impact through clear OKRs and value models, adjusting priorities based on learning and strategic shifts
• Collaborate with other domain leads and Integrated Technology to share practice, integrate roadmaps, and drive consistent product methodology
• Hiring and develop, and lead high-performing AI teams, including product owners, analysts, AI engineers, and subject matter experts within the maintenance domain.