Reliability Engineering Manager

Unilever; Sumatera Utara; On-site; IDR 900,000,000 - 1,300,000,000; Full time

Job summary

Unilever in Sei Mangkei, North Sumatera, Indonesia is seeking a Reliability Engineering Manager to lead asset integrity and reliability initiatives across critical processing equipment. This role drives risk reduction, lifecycle optimization, and standout plant performance through advanced maintenance strategies and cross-functional teamwork.

You will steer RCA investigations, oversee KPI monitoring (MTBF, MTTR, OEE), and coordinate shutdowns, while ensuring safety compliance and the effective

Qualifications

• 8–12+ years in reliability, maintenance, or asset management in chemical, petrochemical, or oil & gas.
• Willing to relocate to Sei Mangkei, North Sumatera, Indonesia.
• Professional English fluency and strong technical knowledge of rotating and static equipment.

Responsibilities

• Develop and execute reliability and asset integrity strategies for critical processing equipment.
• Lead preventive and predictive maintenance programs leveraging RCM, TPM, RBI, and FMEA.
• Ensure process safety compliance and lead risk assessments (HAZOP, SIL).
• Drive improvements in reliability, availability, and lifecycle costs.
• Lead RCA investigations and monitor MTBF, MTTR, and OEE KPIs.
• Plan and execute plant shutdowns and major repairs.
• Maintain audit readiness and compliance with API, ASME, ISO 55000.
• Utilize CMMS/EAM systems (SAP PM, Maximo) and digital tools for analytics.
• Coach reliability teams and collaborate with Operations, Engineering, HSE, and Projects.

Skills

RCM

RCA

FMEA

RBI

Predictive maintenance

Tools

SAP PM

Maximo

Job description

We are seeking a highly skilled Reliability Engineering Manager to join our leadership team. This role is pivotal in enhancing equipment reliability, minimizing operational risks, and driving efficient, cost-effective plant operations.

As a key leader, you will shape reliability strategies, strengthen asset integrity, and play a critical role in ensuring operational excellence and sustainable performance across the plant.

Key Responsibilities

• Develop and execute reliability and asset integrity strategies for critical processing equipment (reactors, pumps, compressors, heat exchangers, piping)
• Lead preventive and predictive maintenance programs leveraging RCM, TPM, RBI, and FMEA methodologies
• Ensure compliance with process safety standards (OSHA PSM, IEC, API, and local regulations) and lead risk assessments (HAZOP, SIL)
• Drive improvements in equipment reliability, availability, and lifecycle performance while reducing maintenance costs and recurring failures
• Lead Root Cause Analysis (RCA) and monitor key KPIs (MTBF, MTTR, OEE) to enable data-driven decision-making
• Plan and execute plant shutdowns and turnarounds, ensuring timely and effective delivery of critical repairs and improvements
• Ensure adherence to EHS regulations and industry standards (API, ASME, ISO 55000) and maintain audit readiness
• Utilize CMMS/EAM systems (SAP PM, Maximo) and digital tools to enhance maintenance planning and predictive analytics
• Lead, coach, and develop reliability and maintenance teams while collaborating closely with Operations, Engineering, HSE, and Project teams

What We’re Looking For

A proactive and results-driven Mechanical Reliability professional with strong technical expertise, a continuous improvement mindset, and the ability to drive change in a dynamic manufacturing environment.

Requirements & Experience

• 8–12+ years of experience in reliability, maintenance, or asset management within chemical, petrochemical, or oil & gas industries
• Willing to be relocated to Sei Mangkei, North Sumatera
• Professional English fluency
• Strong exposure to continuous process plants and hazardous operations
• Hands-on experience with reliability methodologies (RCM, RCA, FMEA, RBI)
• Solid understanding of process safety (HAZOP, SIL, PSM).
• Strong technical knowledge of rotating/ static equipment, pressure vessels, piping, and instrumentation
• Experience with predictive maintenance technologies
• Proficient in CMMS/EAM systems (e.g., SAP PM, Maximo).