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Key statistics

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

5 of 8

Track

Individual contributor

Family rungs priced

P1 · P2 · P3 · P4 · P5 · P6

49-0000

industrial_energy_operations

Coordinates

3 / 4 spaces

pay@2 · 2026-07

What this role is

A highly experienced skilled tradesperson who independently diagnoses and resolves the most complex facility and equipment problems across multiple trades. At the Expert Professional (P5) level, the role owns multiple systems or a technical domain, establishes the approach, and drives org / multi-team outcomes. Leads cross-team technical initiatives.

What this level does

Manage multiple foreman crews across different areas of a project as general foreman, resolving conflicts between scopes and schedules
Act independently on broad or unusual field problems where standard methods fail, applying deep multi-trade expertise
Own deep technical authority as a master craftsperson, serving as the escalation point for the hardest diagnostic and installation problems on site
Refine and improve installation, sequencing, and quality methods based on accumulated field experience rather than adopting them unchanged
Serve as a technical spokesperson to project managers, inspectors, and clients on trade feasibility and risk

Knowledge applied: Applies expert, hard-won multi-trade craft and refines proven methods into better versions suited to actual field conditions.
Complexity & problem solving: Resolves significant and unusual field problems where standard methods fall short, working at the edge of established practice.
Collaboration & interaction: Builds influential networks with PMs, inspectors, and clients; acts as trade spokesperson and manages multiple crews.
Typical experience: 12+ years; general foreman or master craftsperson with extensive cross-trade expertise.

Skills at this level

Tool and Equipment Proficiency: — Uses hand and power tools skilfully and operates certified equipment such as assembly machines, press machines, conveyor systems, pallet jacks, and forklifts to execute installation, maintenance, and production tasks.
Multi-Trade Craft Execution: — Performs skilled construction and maintenance work across electrical, plumbing, carpentry, HVACR, glazing, masonry, and painting, applying the right technique for each trade area to a defined standard of workmanship.
Field Diagnostics and Troubleshooting: — Investigates malfunctioning installed systems on-site, isolates root cause across mechanical and structural factors, and executes the repair independently while managing own schedule.
Quality and Detail Awareness: — Inspects completed installation, assembly, and repair work against specification, performing quality checks in production and construction work and flagging defects before they progress.
Job-Site Safety Practice: — Follows and enforces jobsite safety procedures and credentials such as OSHA 30 across trade work, protecting the crew during installation and equipment operation.
Physical Capacity: — Sustains the strength, stamina, and manual dexterity required for physically demanding trade work over a full shift.
Task Estimating: — Estimates the time, personnel, and material required to complete assigned trade tasks so crews and procurement can be planned realistically.
Crew Coordination and Supervision: — Leads job-site crews and coordinates with project managers and adjacent trades to sequence installation work safely and on schedule.
Multi-Crew Site Coordination: — Manages multiple foreman crews across different project areas and coordinates scopes across an entire site, resolving conflicts between trades, schedules, and construction phases.
Trade Method Design: — Refines and redesigns installation, sequencing, and quality methods based on accumulated field experience, producing improved practices that other craftspeople adopt.
Craft Mentorship: — Develops junior laborers, journey-level workers, and foremen in tool use, diagnostics, and workmanship, transferring craft judgment through hands-on guidance.
Construction Management Software: — Uses construction management and estimating tools such as ProEst to record task estimates, track material and personnel needs, and coordinate scheduling on assigned work.

Model-authored from 15 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

General — median with , by . Real canon data.

National-base pricing — this family's function differential is pending review, so dollar levels are not function-adjusted (level-over-level % is unaffected).

Pay figures are modeled estimates from our market equation — level-differentiated, with honest-wide bands. They refresh as new leveling evidence lands; treat per-role dollars as directional.

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

SOC 49-0000 · national

Employment growth 2019–2024, BLS OEWSobserved

+7.9%Maintenance and Repair Workers, General · United States

1,418,990 → 1,531,700 jobs

159,800 openings / year, split into:

replacement / exits 153,607

Growth — new jobs (4%)Exits — backfill (96%)

4% of hiring here is genuine expansion; the rest backfills people who move on.

Projected growth 2024–34 expanding: +3.8%
Growth share of hiring: 4%
Exit / retention pressure high: 96%
Openings / year: 159,800

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 P5 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$238k

San Francisco-Oakland-Fremont, CA$213k

Washington-Arlington-Alexandria, DC-VA-MD-WV$197k

Boulder, CO$195k

Seattle-Tacoma-Bellevue, WA$195k

Boston-Cambridge-Newton, MA-NH$186k

Lexington Park, MD$182k

Trenton-Princeton, NJ$181k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $143k; 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 P5 (P5 — Expert Professional) from the levels around it — this level only. Every word is real canon for this profile.

Scope: Multiple systems or a technical domain
Autonomy: Sets direction within the domain
Complexity: Novel, high-ambiguity problems; establishes the approach
Impact: Org / multi-team outcomes
Decision rights: Authority over a technical domain
Leadership: Leads cross-team technical initiatives

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

Promotion

The next rung from P5 is P6.

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
Director of Maintenance and Trades Operations	jf_skilled_trades_general::M5	$188,371†	confident0.06
Lead Maintenance Technician	jf_skilled_trades_general::S5	$60,631†	confident0.06
Senior Maintenance Technician	jf_skilled_trades_general::P4	$109,466†	confident0.06
Principal Maintenance Technician	jf_skilled_trades_general::P6	$188,314†	confident0.06

†National-base pricing — this family's function differential is pending review, so the dollar level is not function-adjusted.

Capability cluster

O*NET 49-9071

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

P5

jf_skilled_trades_general::P5

Expert Maintenance Technician

General

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: P
Superfunction: industrial_energy_operations
Function: skilled_trades
Family: skilled_trades_general
Universal level: 5 / 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").

Electrical · P5review0.17

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 49-9071	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 of2026-07-30Editioncanon-v2@2.1.0-completeSourcecanon-v2 cell + salary-benchmark (model)