What will this role achieve?
We are seeking a forward‑thinking Reliability Maintenance Manager to lead our maintenance strategy within a fast‑paced food manufacturing environment. This role is critical to ensuring high equipment availability, minimal downtime, and compliance with stringent food safety standards.
You will spearhead the integration of AI‑driven analytics and condition‑based monitoring (CBM) to deliver a predictive and proactive maintenance programme. By leveraging real‑time data and advanced diagnostics, you’ll identify asset performance trends, reduce reactive interventions, and drive continuous improvement across the site.
Predictive & Preventative Maintenance
* Develop and manage a predictive maintenance strategy using AI and CBM technologies to anticipate failures and optimise asset performance.
* Implement robust preventative maintenance schedules aligned with production demands and food safety compliance.
AI & Data‑Driven Insights
* Utilise AI‑powered tools to analyse equipment data, identify root causes of downtime, and forecast maintenance needs.
* Collaborate with digital teams and third‑party CBM providers to enhance diagnostic capabilities and automate reporting.
* Lead, coach, and develop a multidisciplinary maintenance team, fostering a culture of safety, accountability, and innovation.
* Ensure technicians are trained in modern maintenance practices and digital tools.
Compliance & Food Safety
* Ensure all maintenance activities meet regulatory standards including HACCP, BRC, and GMP.
* Maintain rigorous documentation and audit readiness for all engineering interventions.
Cross‑Functional Collaboration
* Work closely with production, quality assurance, procurement, and IT to align maintenance strategies with operational goals.
* Support capital projects and equipment upgrades with reliability input.
Asset Performance & Budget Control
* Monitor asset lifecycle costs and identify high‑cost “bad actors” requiring redesign or replacement.
* Analyse maintenance budgets and resource allocation to improve cost‑efficiency.
* Drive continuous improvement initiatives by introducing smart technologies, automation, and lean maintenance practices.
* Champion the use of digital twins, IoT sensors, and machine learning to enhance reliability outcomes.
Bring your experience:
* Proven experience in reliability or maintenance management within a food manufacturing or FMCG environment.
* Strong background in leading teams and implementing technology‑driven maintenance strategies.
* In‑depth knowledge of mechanical and electrical systems, CMMS platforms, and CBM technologies.
* Familiarity with AI applications in maintenance, such as predictive analytics and automated diagnostics.
* Capable of managing multiple priorities and delivering results in a high‑pressure environment.
* Proficient in data analysis, root cause investigation, and performance tracking.
pladis is an Equal Opportunity Employer, committed to hiring a diverse workforce. All openings will be filled based on qualifications without regard to race, color, sex, sexual orientation, gender identity, national origin, marital status, veteran status, disability, age, religion or any other classification protected by law.
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