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Key Responsibilities include:
• Performance analysis and diagnostics:
- Investigate and diagnose asset performance issues, either through direct reporting from Operations or by conducting reviews such as monthly meetings, process surveillance, or utilisation reports.
- Define desired outcomes for improvement initiatives while minimising disruption to plant operations and avoiding unnecessary burdens on Maintenance teams.
- Lead initiatives to improve operational efficiency, such as streamlining maintenance capture in Maximo, managing Risk Register items, and implementing solutions that may involve Change Requests (CRs) or operational expenditure (OPEX).
- Example initiatives may include optimising equipment running order, refining inspection processes, or improving preventive maintenance strategies.
- Develop a strong understanding of site operations and maintenance practices across C&I, Mechanical, Electrical, and Cyber/Systems disciplines.
- Translate operational challenges into effective, cross-functional solutions that address root causes and deliver measurable outcomes.
- Present findings, recommendations, and data-driven insights to managers and senior leadership in a clear, structured manner.
- Use tools such as Power BI and emerging technologies (e.g., machine learning, Cognite) to support data-driven decision making.
- Anticipate and address questions from leadership, ensuring alignment with organisational goals.
- Undertake tasks that fall outside the scope of discipline-specific Asset Engineers, leveraging broad knowledge of interdependencies between teams and disciplines.
- Strong analytical and problem-solving skills with the ability to diagnose root causes of asset performance issues.
- Proficiency in data analysis and reporting tools (e.g., Power BI), with the ability to present complex findings clearly to senior stakeholders.
- Understanding of maintenance systems (e.g., Maximo) and change management processes.
- Knowledge of cross-disciplinary site operations (C&I, Mechanical, Electrical, Cyber/Systems).
- Familiarity with emerging technologies (e.g., ML, Cognite) and their application to asset performance optimisation.
- Strong communication and stakeholder management skills.
