Reliability Manager

Orion Steel Group•Pueblo, CO

3d•$135,000 - $145,000•Onsite

About The Position

CF&I Steel, L.P. is seeking a Reliability Manager for its Pueblo facility to lead the development, implementation, and continuous improvement of site reliability and asset management programs. The role focuses on improving equipment reliability and asset performance, reducing unplanned downtime, and using Reliability Centered Maintenance (RCM), condition-based monitoring, and data-driven decision-making. The successful candidate will bring a strong maintenance and engineering background and lead cross-functional teams in building sustainable reliability processes aligned with industry best practices. The position leads the site reliability strategy and a multidisciplinary team of Reliability Engineers, and works with Maintenance, Operations, and Engineering. It covers fixed plant assets across the Seamless, Thread Line, Rod Mill, Steel Making, and Rail Mill 2 production lines. The manager develops reliability and defect-elimination practices; oversees root cause analysis, predictive and preventive maintenance, condition-based monitoring, and reliability metrics; partners with maintenance planning and scheduling; and develops personnel capability in reliability and diagnostic methods. The company states that maintaining and promoting a safe, healthy, and injury-free environment is required for all jobs. Compensation is listed at $135,000–$145,000.

Requirements

Minimum 10+ years of experience in reliability engineering, maintenance, or asset management in an industrial environment.
Demonstrated leadership experience in an industry manufacturing environment in maintenance or leading reliability programs and cross-functional teams.
Experience with CMMS systems and data analysis tools.
Reliability certification, such as Certified Maintenance & Reliability Professional or Certified Reliability Leader, or obtain one within the first year of employment.
Lean / Six Sigma Green Belt or higher; required or to be obtained within the first year of employment.
Strong analytical, problem-solving, and organizational skills.
Excellent communication skills and the ability to influence at all levels of the organization.
Strong knowledge of RCM, predictive maintenance technologies, RCA methodologies, and asset management principles.
Must be eligible to work in the USA.

Nice To Haves

Bachelor’s degree in Mechanical, Electrical, or Industrial Engineering, or equivalent experience; years of experience may be accepted in lieu of education.
Experience in steel, heavy manufacturing, or process industries.
Familiarity with advanced monitoring technologies and digital reliability tools.

Responsibilities

Own and drive the site reliability strategy, aligning it with corporate objectives and industry standards such as ISO 55000 and RCM principles; serve as the reliability subject matter expert and lead or coach cross-functional teams across Maintenance, Operations, and Engineering.
Cultivate a culture of reliability, defect elimination, and continuous improvement, and manage and develop a multidisciplinary team of Reliability Engineers across Mechanical, Electrical, Automation, and AI-driven CMMS disciplines.
Improve the reliability and maintainability of fixed plant assets across the Seamless, Thread Line, Rod Mill, Steel Making, and Rail Mill 2 production lines.
Analyze equipment performance metrics, including MTBF, MTTR, and OEE/TTT, to identify opportunities; establish, track, and benchmark reliability KPIs.
Develop, implement, and govern a structured Root Cause Analysis and Defect Elimination program; facilitate and coach teams in methods such as 5-Why, FMEA, and Fault Tree, and ensure corrective actions are implemented, tracked, and sustained.
Lead implementation and sustainment of RCM and advanced preventive, predictive, and prescriptive maintenance strategies.
Develop and manage a comprehensive Condition-Based Monitoring program covering vibration analysis, thermography, ultrasonics, and other predictive maintenance technologies; integrate AI-driven platforms to optimize Remaining Useful Life and drive reliability maturity assessments and roadmap development.
Partner with maintenance planning and scheduling to improve work execution, work order planning, scheduling compliance, and maintenance effectiveness; support the development and standardization of job plans and maintenance procedures.
Train, mentor, and develop personnel in reliability principles, RCA, and predictive maintenance technologies; build plant capability in advanced inspection methods and diagnostics and foster knowledge sharing and continuous learning.
Support implementation and integration of advanced monitoring tools and reliability technologies, including vibration monitoring systems, AI-assisted inspection tools, and acoustic sensing.
Leverage CMMS systems and data analytics to generate actionable insights and support informed decision-making.