Job Description
We are seeking a strategic leader to oversee the development and implementation of artificial intelligence (AI) solutions for maintenance across both mobile mining fleet and fixed plant assets.
The successful candidate will be responsible for leading cross-functional teams, partnering with stakeholders to ensure AI products meet real-world needs, and driving adoption of AI-enabled workflows.
They will also be accountable for ensuring products are scalable, supportable, and well-integrated into core systems, as well as tracking product impact through clear objectives and key results (OKRs).
This role requires a strong working knowledge of maintenance systems, particularly SAP PM, master data structures, and digital shutdown planning tools. Experience leading technology solutions that embed into operations is essential.
Key Responsibilities:
* Develop a product roadmap of AI solutions focused on maintenance, including shutdown optimisation, condition-based maintenance, and intelligent planning.
* Partner 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, including master data quality and lifecycle maintenance.
* Track product impact through clear OKRs and value models, adjusting priorities based on learning and strategic shifts.
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.