Level

Wood

Area Maintenance Scheduler

AI in this role

Wood is currently seeking applications for Senior Area Scheduler to join our team at the Ampol Refinery on a permanent basis. 

This role involves collaborating with teams to minimize downtime, improve safety, and enhance productivity; and provide technical support to maintenance teams for process standardisation & implementation. 

The Successful candidate will be responsible for scheduling and coordinating maintenance activities within the refinery to ensure optimal equipment performance and operational efficiency. 

Applicants must have full work rights in Australia to be considered for the role.

#LI-Site

For 10+ years, Wood has held a Maintenance contract at the Lytton Refinery in Brisbane, Australia and have been heavily imbedded into the Ampol culture with a strong focus on team alignment across the contracting teams. 

Our team of engineers, planners, supervisors, team leads, quality control, contract management, mechanical and electrical technicians, logistics, payroll, site administration, project management and human resourcing are committed in producing and distributing petroleum and fuel safely and efficiently. 

  • Develop and maintain a comprehensive integrated maintenance schedule
  • Produce maintenance schedules in line with work management principles, procedures and site-specific guidelines 
  • Schedule to achieve optimal availability of plant & equipment, ensuring minimal disruption to Operations
  • Chair the schedule meetings with key stakeholders. Attend and actively participate in standard planning meetings 
  • Utilize the CMMS (SAP) to analyse equipment performance data, identify trends, and recommend improvements to maintenance processes
  • Generate and present regular reports on maintenance performance metrics, schedule adherence, and resource utilization
  • Actively work with the Planning leads to maintain and enhance business processes within the maintenance function 
  • Maintain, contribute and progress workflow in maintenance managements systems and databases 
  • Demonstrate a pro-active role in identifying safety improvements.
  • Bachelor’s degree in engineering, maintenance management, or a previous trade certification qualification – Mechanical / Electrical / Instrumentation
  • Minimum of 5+ years in maintenance scheduling or planning, preferably in the oil and gas industry or heavy industrial environment
  • Experience with SAP, P6, Prometheus or alternative scheduling software 
  • Strong leadership & communication skills with the ability to manage multiple priorities
  • Proven ability to lead a high performing team as well as being a high-level performer
  • Strong business & scheduling process knowledge within a maintenance environment.

The successful candidate will undergo medical and background checks.

Wood encourages Australian Aboriginal and Torres Strait Islander peoples to apply.

If you’re an experienced Area Maintenance Scheduler looking for a challenge, then we would like to hear from you.

Apply now to this exciting opportunity!

How we rate this

Area Maintenance Scheduler at Wood rates 36 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Get new AI jobs by email

One email a week with the new AI jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free. One email a week. Unsubscribe in one click.

Similar roles

Other roles that involve little AI, at other companies.

What kind of AI work fits you?

Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.

Find my next step

More jobs at Wood

Related searches

Same AI level