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Key statistics

The identity block — every fact is canon, none is generated.

4 of 8

Track

Support

Family rungs priced

—

49-0000

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Coordinates

3 / 4 spaces

pay@2 · 2026-07

What this role is

An advanced individual contributor who diagnoses complex equipment failures and drives reliability improvements across production systems. At the Lead Support Specialist (S4) level, the role owns team process and quality, cross-case patterns and process gaps, and drives team-level quality and efficiency. Mentors and coordinates the support team.

What this level does

Adapts maintenance and repair methods to handle unprecedented or intermittent equipment failures not covered by existing procedures, resourcefully determining a diagnostic approach
Provides technical support and guidance to junior technicians on complex breakdowns and acts as a working lead on multi-technician repair jobs
Collaborates with production and engineering teams to recommend equipment modifications and preventive-maintenance frequency changes that improve machinery performance and uptime
Interprets equipment data and failure patterns to anticipate breakdowns and adjust maintenance plans before failures occur
Resolves conflicts between competing repair priorities across lines, balancing urgency, safety, and production impact

Knowledge applied: Extensive knowledge of equipment and maintenance administration, enough to adapt methods for unprecedented failures.
Complexity & problem solving: Understands implications of failure patterns, recommends new solutions and modifications, and determines methods for new assignments.
Collaboration & interaction: Informally guides junior technicians and acts as a working lead; partners with production and engineering.
Typical experience: 4–6 years; advanced maintenance experience.

Skills at this level

Preventive Maintenance Execution: — Performs scheduled upkeep of industrial equipment — lubrication, part replacement, cleaning, and inspection — following maintenance schedules to prevent unplanned breakdowns.
Breakdown Diagnosis and Repair: — Diagnoses equipment breakdowns and troubleshoots faults, using the ability to read and interpret technical diagrams and schematics to isolate root causes and restore machinery to service.
Machine Calibration: — Calibrates industrial machines against reference standards, verifies measurements are within tolerance, and adjusts or escalates when readings drift outside acceptable limits.
Spare Parts Management: — Handles spare-parts inventory for maintenance — picking against work orders, tracking stock levels and reorder points, and flagging shortages that could delay repairs.
Industrial Safety and Compliance: — Applies industrial safety standards and OSHA regulations, including lockout/tagout, when working on or near powered production equipment.
Maintenance Documentation: — Records PM tasks, meter readings, corrective actions, and abnormalities into work-order systems and maintenance logs to build equipment history.
Predictive Maintenance and Equipment Data Analysis: — Analyzes datasets from IoT-instrumented equipment, applying data-driven and machine-learning approaches to anticipate failures and schedule maintenance before breakdowns occur.
Maintenance Procedure Development: — Creates and revises preventive/predictive maintenance procedures, calibration methods, and checklists for the equipment fleet as machinery and operating conditions change.
Cross-Functional Equipment Collaboration: — Works with production and engineering teams to optimize machinery performance, recommend equipment modifications, and align maintenance activity with production schedules.
Technician Guidance and Work Leadership: — Provides technical guidance to junior technicians and acts as a working lead on complex repair jobs, coordinating the work rather than managing people.

Model-authored from 20 retrieved sources, then adversarially reviewed by an independent judge panel and held to a minimum-evidence floor before publication. Distinct from corpus-extracted content, which is labelled as such.

Pay across the ladder

No priced rungs for this family's ladder yet.

Demand — is the field growing, or just turning over?

SOC 49-0000 · national

Employment growth 2019–2024, BLS OEWSobserved

+8.9%Industrial Machinery Mechanics · United States

387,630 → 421,940 jobs

45,700 openings / year, split into:

growth 7,078

replacement / exits 38,622

Growth — new jobs (15%)Exits — backfill (85%)

15% of hiring here is genuine expansion; the rest backfills people who move on.

Projected growth 2024–34 expanding: +16.1%
Growth share of hiring: 15%
Exit / retention pressure moderate: 85%
Openings / year: 45,700

Two quantities, kept apart: observed = employment growth differenced from two BLS OEWS vintages (what already happened); projected = BLS Employment Projections 2024–34, openings decomposed into growth + exits (growth derived from projected employment change). Neither is a pay figure.

Where this role sits — growth vs. pay

level S4 held

Demand axis is projected growth (not raw openings — that just measures churn). A curated, de-duplicated set of recognizable occupations held at this level; this role is highlighted.

Where it pays — by metro

OEWS metro median

San Jose-Sunnyvale-Santa Clara, CA$94k

San Francisco-Oakland-Fremont, CA$84k

Washington-Arlington-Alexandria, DC-VA-MD-WV$78k

Boulder, CO$77k

Seattle-Tacoma-Bellevue, WA$77k

Boston-Cambridge-Newton, MA-NH$74k

Lexington Park, MD$72k

Trenton-Princeton, NJ$71k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $56k; the demand-cube initiative will add growth-by-metro.

What changes across the ladder

Level-distinction canon isn't available for the adjacent levels of this profile yet.

Level differentiators

What separates S4 (S4 — Lead Support Specialist) from the levels around it — this level only. Every word is real canon for this profile.

Scope: Team process and quality
Autonomy: Works independently; owns improvements
Complexity: Cross-case patterns and process gaps
Impact: Team-level quality and efficiency
Decision rights: Owns process and quality decisions for the team
Leadership: Mentors and coordinates the support team

Full level-by-level matrix (side by side across the ladder) lives on the Ladder drill-down — not here.

Promotion

The next rung from S4 is S5.

Performance criteria for this profile render in the assessment kit →

People also watch

Nearest coordinate neighbors — same , same level. Each row's (confident / review / no match) comes from its — computed, not curated.

Profile	Key	Median	Δ structural
Advanced Accountant	jfo_jfm_accounting-controllership-accounting-management::S4	—	confident0.00
Advanced Cost Accountant	jfo_jfm_accounting-cost-accounting::S4	—	confident0.00
Advanced General Accountant	jfo_jfm_accounting-general-accounting-management::S4	—	confident0.00
Advanced General Accountant	jfo_jfm_accounting-general-accounting::S4	—	confident0.00

Capability cluster

O*NET 49-9041

Core to this role. Click any element with an ⓘ for its O*NET definition. A job-specific capability model (SkillFrame) will sharpen this and add worked examples.

The Job Swatch

S4

jfo_jfm_manufacturing-industrial-engineering-equipment-maintenance-r::S4

Equipment Reliability Specialist

The swatch is JobFrame's core primitive: a hueset deterministically by the role's superfunction, the profileKey as its color code, the level ladder, and a content fingerprint. Two swatches that look alike are alike.

Because every role carries computable coordinates, similarity, leveling, and pricing become measurable instead of arguable— the whole point of "Pantone for jobs."

Structural

structural@1

Where it sits— position in the work taxonomy + level (weighted Gower, level > function > focus).

Track: S
Universal level: 4 / 8

Content

content@2

What it's about— a fingerprint over the role's tasks & capabilities.

Two roles can sit far apart structurally yet be close in content — that gap is itself a signal.

3-state matching

How any two swatches compare — a real distance in coordinate space, resolved to a calibrated verdict (never a fake "94% match").

jfo_jfm_accounting-controllership-accounting-management::S4 · S4confident0.00

jfo_jfm_accounting-cost-accounting::S4 · S4confident0.00

jfo_jfm_accounting-general-accounting-management::S4 · S4confident0.00

jfo_jfm_accounting-general-accounting::S4 · S4confident0.00

jfo_jfm_administrative-corporate-services-administrative-services-ma::S4 · S4confident0.00

jfo_jfm_administrative-corporate-services-service-delivery::S4 · S4confident0.00

Editions — frozen & versioned

structural@1live

Released 2026-06-17

content@2live

Released 2026-07-28

pay@2live

Released 2026-07-02

semantic@1live

Released 2026-07-02

Coordinates belong to a frozen, versioned edition — a coordinate computed today still means the same thing next quarter. Re-fitting issues a new edition, so comparisons are never silently redefined.

How to read this profile

Every number here is traceable — to a named source, a stated method, and an as-of date — and each value is labeled by how we know it: observed from data, computed by a model, projected forward, or governed canon. Nothing is a black box, and nothing is invented to fill a gap.

Where every number comes from

What	Source & method	Edition	State
Median pay + range	JobFrame pay equation (function base × family multiplier × level × focus differential)	pay@2	computed
Pay across the ladder	Same equation applied at each universal level	pay@2	computed
Demand — growth & openings	BLS Employment Projections; openings decomposed into growth + exits	EP 2024–34	projected
Pay by metro	BLS OEWS metropolitan medians	OEWS 2024	observed
Level distinctions	JobFrame universal-level canon (scope · autonomy · complexity · impact · decision rights · leadership)	canon	canon
Capability cluster	O*NET Knowledge / Skills / Abilities	O*NET 49-9041	computed
Coordinates	JobFrame coordinate system — structural (weighted Gower) + content fingerprint	structural@1 · content@2 · pay@2 · semantic@1	computed
Related roles	Nearest neighbors in the structural coordinate space	structural@1	computed

The principles behind the numbers

Ranges, not false precision

Pay is P10 · median · P90, never a single misleading number.

Three honest states, never a fake %

Role matches resolve to confident / review / no-match — a calibrated verdict, not a made-up percentage.

Provenance on every value

Each number carries whether it's observed, computed, projected, or canon — so you always know how much to lean on it.

Gaps shown as gaps

When a figure isn't available at the grain you need, we say so — we don't fabricate a number to fill the cell.

Frozen, versioned editions

Pay and coordinate editions are pinned, so a comparison you make today still means the same thing next quarter.

Privacy by min-N

Any aggregate over people is suppressed below a minimum count, so no individual is identifiable.

Freshness

As of2026-07-31Editioncanon-v2@2.1.0-completeSourcecanon-v2 cell + salary-benchmark (model)