
Regional Reliability Engineer
Há 2 dias
The Regional Reliability Engineer is responsible for driving reliability improvement initiatives across a network of manufacturing sites within their assigned region. This role supports the development and implementation of standardized engineering tools and methodologies focused on asset performance, failure elimination, and cost-effective maintenance strategies. The role also plays a critical part in supporting OEE (Overall Equipment Effectiveness) improvement by identifying and addressing chronic equipment issues, performance losses, and systemic reliability risks. The Regional Reliability Engineer collaborates closely with site-level teams, regional leadership, and global program owners to build technical capability and deliver measurable reliability results.
Key Responsibilities Asset Reliability & Engineering- Lead deployment of reliability tools including Failure Modes & Effects Analysis (FMEA), Root Cause Analysis (RCA), and Preventive Maintenance Optimization (PMO)
- Conduct bad actor analysis, asset criticality reviews, and strategy development for high-priority equipment
- Partner with maintenance and engineering teams to reduce unplanned downtime and extend asset life
- Develop asset management plans, including preventive maintenance, spare parts, and service strategies.
- Act as a key technical resource in improving OEE performance at site and regional levels
- Use OEE data to identify chronic losses (availability, performance, quality) caused by equipment design, condition, or maintenance strategy
- Partner with operations, planners, and the systems team to validate root causes and drive equipment-level corrective actions
- Participate in OEE improvement projects, focused on eliminating top loss categories linked to reliability
- Ensure that downtime tracking, loss classification, and bad actor programs are technically sound and aligned with corporate standards
- Mentor site reliability and maintenance resources in applying reliability principles and tools
- Support the deployment of training related to PM optimization, failure analysis, and reliability-centered maintenance
- Facilitate cross-site knowledge sharing on equipment-specific learnings and successful reliability practices
- Support rollout of reliability initiatives and standards within the region
- Partner with the Global Reliability Engineering Leader to align site activities with strategic priorities
- Assist in the implementation of Condition-Based Maintenance (CBM), Predictive Maintenance (PdM), and precision maintenance programs
- Work with site maintenance, production, EHS, and engineering teams to align asset strategies with safety, cost, and performance goals
- Collaborate with Maintenance Specialists to ensure reliability data is reflected in work order history and condition monitoring systems
- Provide reliability input during equipment upgrades, redesigns, or major capital investments
- Bachelor's degree in Engineering (or related technical discipline). Mechanical Engineering preferred.
- Fluent English is a requirement
- +5 years of experience in reliability, maintenance, or operations roles within manufacturing or industrial environments.
- Strong knowledge of reliability methodologies (RCM, FMEA, RCA, Weibull), PM program design, and equipment performance metrics
- Experience applying statistics and statistical analysis techniques to support problem-solving, performance monitoring, and reliability improvement efforts.
- Familiarity with OEE (Overall Equipment Effectiveness) frameworks and production loss analysis
- Working knowledge of CMMS platforms and PdM tools (vibration, ultrasound, oil analysis, etc.)
- CMRP, CRE, or equivalent certification preferred
- Excellent communication, facilitation, and data analysis skills
- Multisite or regional support experience preferred
- % reduction in chronic equipment failures
- MTBF / MTTR trends for targeted equipment
- % of OEE losses addressed through reliability-led actions
- Completion and effectiveness of RCAs and PM optimizations
- Site capability development and tool adoption rates
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