Equipment Maintenance & Reliability — P2

MANUFA1.EQUIPMEN65C2.P2

P2P2 — Developing Professionalhigh0.90approvedglobalv1

Equipment Maintenance & Reliability engineering: ensures plant assets perform their required functions across the full life cycle by designing and executing condition-based and preventive maintenance programs, performing root cause and failure-mode analyses, modeling reliability metrics, and optimizing maintenance strategies in EAM/CMMS systems. Distinct from sibling focuses such as process/production engineering (throughput and line design), quality engineering (defect and conformance), and facilities/plant engineering (infrastructure systems) — this focus is anchored in asset reliability, failure elimination, and total cost of ownership.

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Level

P2 · P2 — Developing Professional · 1–3 yrs

Function · Focus

Manufacturing & Industrial Engineering · Equipment Maintenance & Reliability

Market pay (median)

$72k ($57k–$92k)

Pay basis

function-anchored · wide bars

Focus — Equipment Maintenance & Reliability

Material SKILL differential vs the function baseline.

Responsibilities by level

What this person actually does at each level on the professional track — escalating scope, not one generic blob. Your level is highlighted.

Provide support to the operation and maintenance of the plant's equipment under close supervision, performing component-level FMEA analysis on assigned equipment
Help create, implement, and monitor Condition Based Maintenance (CBM) programs using vibration analysis and condition monitoring under direction
Participate in building preventative maintenance routines (PMRs) and bills of materials (BOMs) for new equipment alongside senior engineers
Enter and update equipment data and PM task lists in SAP PM and Fiix in coordination with maintenance planners
Assist in delivering technical support and basic training for maintenance functions to entrench reliability concepts, gathering failure data following standard procedures and detailed instructions

P2this profile

Perform root cause failure analysis (RCFA) on equipment failures and develop strategies to prevent recurrence with general instruction
Generate and utilize Pareto charts and OEE analysis to identify and prioritize recurring equipment failures and abnormally high maintenance-cost assets for reduction
Update equipment data, PM task lists, critical spare parts lists, and diagnostic methods in SAP PM and CMMS tools such as IBM Maximo, Infor EAM, or eMaint with routine independence
Develop plans to eliminate or reduce specific losses, obtain approval, and facilitate implementation
Coordinate SAP PM routine optimization with maintenance planners and apply Weibull analysis to set maintenance intervals

Track production losses and abnormally high maintenance-cost assets across multiple asset groups and prioritize the largest/most critical opportunities using OEE and Pareto analysis
Own significant reliability workstreams independently, planning day-to-day work toward defined milestones
Work with project engineering to ensure reliability and maintainability of new and modified installations, applying LCAM throughout the asset life cycle
Build and run RCM-based maintenance strategies, selecting condition-monitoring techniques (vibration, oil analysis/tribology, infrared thermography, ultrasonic inspection, motor current signature analysis) appropriate to asset criticality
Perform criticality analysis to direct reliability efforts and evaluate identifiable factors driving recurring failures, configuring tools such as Oracle eAM, Limble, or GE APM (Meridium)

Lead cross-team remediation programs for complex assignments with conflicting design requirements and demonstrate ownership of a critical asset's reliability outcomes
Perform in-depth analysis of complex failure variables using fault tree analysis, MTBF/MTTR/availability modeling, and Weibull statistics
Select reliability methods and bring technical designs to life with architecture-level influence on new and modified installations to ensure reliability and maintainability
Provide training and facilitation on RCA, FMEA, and RCM with maintenance and operations personnel; estimate engineering personnel needs and coordinate and supervise other engineers and technicians
Drive adoption of reliability standards (ISO 55000, TPM) across teams and influence reliability-related capital and maintenance decisions at the functional level, deploying predictive platforms such as Aveva Predictive Analytics, AspenTech Mtell, or Augury

Guide long-term asset strategy on strategic and unique reliability issues that contribute to plant- and company-level objectives
Act independently on broad reliability assignments involving intangibles, exercising originality and considerable latitude for unreviewed decisions
Serve as reliability spokesperson on RCM, condition monitoring, and asset management, building influential networks with operations leadership, vendors, and industry peers
Set reliability program direction for OEE improvement and total cost of ownership, mentoring senior engineers on advanced FMECA and predictive analytics using Bently Nevada System 1, Senseye, and AVEVA PI
Lead reliability evaluation of major capital projects, embedding LCAM and ISO 55000 governance from design through commissioning

Design high-level reliability architecture and make key decisions on technical direction for asset management across multiple departments
Plan long-term engineering strategies and set department reliability goals with concrete implementation roadmaps aligned to company objectives
Oversee R&D and innovation efforts in predictive analytics and condition-monitoring platforms (GE APM, AspenTech Mtell, Senseye, Augury, Bently Nevada System 1, AVEVA PI), piloting and scaling new techniques across multiple departments
Shape org-wide reliability standards, RCM/FMEA methodologies, and ISO 55000 frameworks, providing expert technical advice to senior engineers
Provide field-shaping mentorship and influence peer reliability professionals and industry practice on asset reliability and life cycle management

Level guidelines

The universal leveling rubric applied to this function — how scope, complexity, collaboration, and experience step up across levels.

Level	Knowledge & Application	Complexity & Problem Solving	Collaboration & Interaction	Typical Degree & Years
P1	Applies foundational reliability concepts (CBM, PMRs, BOMs, component FMEA) and basic SAP PM data entry to routine, well-defined tasks under detailed instruction.	Handles routine reliability problems with standard answers, such as logging failures and supporting predefined condition-monitoring routines.	Works within stable internal relationships, coordinating mainly with senior engineers and maintenance planners on assigned tasks and basic training delivery.	0-3 years; Engineer I, new graduate or intern in a reliability/maintenance environment.
P2	Applies RCFA, Pareto and OEE analysis, Weibull intervals, and CMMS/SAP data management to conventional reliability tasks using defined procedures.	Exercises judgment in familiar failure contexts; analyzes identifiable recurring failures and develops targeted reduction plans.	Builds productive working relationships with planners and operations to implement approved loss-reduction plans.	3-7 years (or MS/PhD with little experience); Reliability Engineer / Engineer II.
P3	Applies RCM, criticality analysis, LCAM, and a range of condition-monitoring techniques across diverse assets with moderate independence.	Evaluates identifiable factors across multiple asset groups, prioritizing the most critical loss and cost opportunities.	Networks with senior professionals and project engineering; may coordinate project reliability activities toward milestones.	5+ years (BA), 3 years (MA), or PhD; independent owner of significant reliability workstreams.
P4	Applies in-depth analysis of complex variables (fault tree, MTBF/MTTR modeling, advanced FMECA) and selects methods for high-impact installations.	Resolves complex assignments with conflicting requirements and architecture-level reliability decisions across functions, influencing reliability-related capital decisions.	Coordinates across maintenance, operations, and project groups; supervises engineers and technicians and may influence functional decisions.	8+ years, often with graduate education; Senior Reliability Engineer who may lead projects and teams.
P5	Applies expert reliability judgment to strategic and unique issues — total cost of ownership, predictive analytics, and major capital evaluation — across the plant or enterprise.	Solves problems involving intangibles with high independence, acting on broad or special assignments with considerable latitude for unreviewed decisions.	Builds influential internal and external networks and serves as a reliability spokesperson; mentors senior engineers on special tasks.	12+ years; Principal/Staff Reliability Engineer with extensive asset-reliability expertise.
P6	Applies visionary, field-shaping expertise to define org-wide reliability architecture, standards, and innovation roadmaps spanning multiple departments.	Provides field-shaping problem-solving on organization-wide reliability direction, piloting and scaling new predictive and condition-monitoring technology.	Operates with full independence; influences peer professionals, industry practice, and company strategy as a recognized thought leader and high-level mentor.	15+ years; Distinguished Engineer / Fellow, often PhD with industry leadership.

Skills

Focus-specific skills the role applies — the relevance layer beyond the occupational base.

Reliability-Centered Maintenance (RCM): A methodology to determine maintenance strategies that ensure assets continue to perform their required functions.
FMEA / FMECA: Failure modes and effects (and criticality) analysis to identify and prioritize potential failure modes.
Root Cause Failure Analysis (RCFA): Analysis performed on equipment failures to develop strategies to prevent recurrence.
Weibull analysis: Statistical analysis tool that determines when maintenance should happen based on failure distribution.
MTBF / MTTR / availability modeling: Reliability metrics modeling mean time between failures, mean time to repair, and asset availability.
Criticality analysis: Assessing assets to prioritize reliability efforts on the most critical equipment.
ISO 55000 asset management: Standard framework for managing assets across their life cycle.
Vibration analysis: Condition-monitoring technique (ISO 18436-2 CAT I-IV) detecting equipment degradation.
Oil analysis and tribology: Condition-monitoring technique (ISO 4406) analyzing lubricant condition and wear.
Infrared thermography: Condition-monitoring technique (ITC Level I-III) detecting thermal anomalies in equipment.
Ultrasonic inspection: Condition-monitoring technique detecting degradation via ultrasonic testing.
Motor current signature analysis: Technique analyzing motor current to detect electrical and mechanical faults.
Total Productive Maintenance (TPM): Maintenance approach engaging operators in proactive and preventive maintenance.
OEE analysis: Overall Equipment Effectiveness measurement of manufacturing productivity used to identify asset issues.
Fault tree analysis: Deductive method analyzing system failures and their causes.
Life Cycle Asset Management (LCAM): Process managing assets throughout their entire life cycle to minimize total cost of ownership.
SAP PM: Uses this tool/technology effectively during the delivery of day-to-day tasks.
IBM Maximo: Uses this tool/technology effectively during the delivery of day-to-day tasks.
GE APM (Meridium): Uses this tool/technology effectively during the delivery of day-to-day tasks.
AspenTech Mtell: Uses this tool/technology effectively during the delivery of day-to-day tasks.
Bently Nevada System 1: Uses this tool/technology effectively during the delivery of day-to-day tasks.
AVEVA PI: Uses this tool/technology effectively during the delivery of day-to-day tasks.
Augury: Uses this tool/technology effectively during the delivery of day-to-day tasks.
Senseye: Uses this tool/technology effectively during the delivery of day-to-day tasks.

Provenance

The evidence base behind this profile — every layer is sourced; quality is scored by an adversarial review panel (1–5; passes at ≥4 on the minimum dimension).

Level differentiation5.0Focus specificity5.0Concreteness5.0Factual accuracy5.0Real-world coverage4.5

7 sources

Level — P2 — Developing Professional

Early-career professional; developing skills, handles routine tasks with some independence

Scope: Defined deliverables / small features
Autonomy: General supervision; reviewed at milestones
Complexity: Some non-routine problems; applies established patterns
Impact: Own and immediate-team deliverables
Decision rights: Routine technical choices within guidance
Leadership: May guide interns
Typical experience: 1–3 yrs

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