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Key statistics

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

3 of 8

Track

Executive

Family rungs priced

—

17-0000

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Coordinates

3 / 4 spaces

pay@2 · 2026-07

What this role is

Top executive accountable for enterprise-wide equipment reliability, maintenance strategy, and asset performance. At the Vice President (E3) level, the role owns a division, market and competitive strategy, and drives division-wide. Leads a division's leadership team.

What this level does

Leads maintenance, reliability and asset-management as a major business area across a large division or region through senior executives, carrying enterprise-level risk for production availability and asset integrity.
Shapes the corporate reliability and asset-lifecycle strategy — reliability-centered maintenance, condition-based/predictive maintenance adoption, and standardized equipment-application and placement engineering across the network.
Makes enterprise capital-allocation recommendations on plant modernization, automation of maintenance (SCADA/HMI/PLC-enabled monitoring) and total-cost-of-ownership of the asset base, with critical strategic impact on cost and output.
Represents the company externally on reliability, safety and equipment matters — with major OEMs, regulators, insurers and industry bodies — and participates in enterprise operations strategy.
Drives the reliability and maintenance operating model that other functions depend on, setting the standards for diagnostics, root-cause practice and workforce capability across the region.

Knowledge applied: Shapes corporate reliability and asset-lifecycle strategy for a large division or region — reliability-centered and predictive maintenance, equipment-application standards, and automation of monitoring.
Complexity & problem solving: Addresses enterprise-level risk to production availability and asset integrity; makes critical capital-allocation and modernization decisions with company-wide strategic impact.
Collaboration & interaction: Represents the company externally with OEMs, regulators, insurers and industry bodies, and participates in enterprise operations strategy.
Typical experience: 15–20+ years with demonstrated enterprise-level reliability and operations impact.

Skills at this level

Diagnostics and Problem-Solving: — Diagnoses equipment faults and reliability failures, makes sound repair decisions quickly under production pressure, and reads and interprets technical diagrams to isolate root cause — the core competency the executive institutionalizes as a function-wide standard.
Equipment Maintenance Program Governance: — Determines when and what kind of maintenance industrial equipment requires and sets the routine and preventive-maintenance regimes that keep plant assets serviceable across the maintenance organization.
Troubleshooting Operating Errors: — Determines the causes of operating errors in production and facility equipment and decides what corrective action to take, embedding disciplined root-cause practice across shifts and sites.
Repair and Restoration: — Directs the repair of machines and systems using the appropriate tools and craft skills so that equipment is returned to safe, reliable operation with minimal production loss.
Process Optimization for Equipment Application: — Studies industrial processes to maximize the efficiency of equipment applications — including equipment placement and utilization — to improve throughput and reduce downtime.
Reliability and Asset-Lifecycle Strategy: — Sets the reliability-centered and predictive/condition-based maintenance strategy and asset-lifecycle policy that governs repair-versus-replace, modernization and capital-renewal decisions across the asset base.
Maintenance Workforce and Multi-Craft Leadership: — Builds and leads the multi-craft maintenance organization — pipefitting, HVAC, welding, machining, carpentry, and electrical/mechanical repair — including capability progression from technician through maintenance manager and reliability engineer.
Maintenance Systems and Data Management: — Standardizes enterprise maintenance management systems (CMMS/plant-maintenance, SAP PM, JD Edwards, MRP/production-planning integration) and equipment monitoring data (PLC, SCADA, HMI) so reliability decisions are consistent, auditable and evidence-based across sites.
Capital and Maintenance Budget Ownership: — Owns and arbitrates maintenance operating budgets and reliability capital investment across plants, weighing uptime targets against total cost of ownership of production assets.
Asset-Integrity and Operational-Risk Governance: — Sets the enterprise posture on equipment-failure, catastrophic-downtime, safety and environmental risks arising from mechanical, electrical and control systems, and — at officer level — bears formal accountability for such risk to the board and external markets.

Model-authored from 21 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.

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 17-0000 · national

Employment growth 2019–2024, BLS OEWSobserved

+20.1%Industrial Engineers · United States

291,710 → 350,230 jobs

25,200 openings / year, split into:

growth 3,862

replacement / exits 21,338

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: +11.0%
Growth share of hiring: 15%
Exit / retention pressure moderate: 85%
Openings / year: 25,200

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 E3 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$587k

San Francisco-Oakland-Fremont, CA$526k

Washington-Arlington-Alexandria, DC-VA-MD-WV$487k

Boulder, CO$480k

Seattle-Tacoma-Bellevue, WA$480k

Boston-Cambridge-Newton, MA-NH$460k

Lexington Park, MD$448k

Trenton-Princeton, NJ$445k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $352k; 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 E3 (E3 — Vice President) from the levels around it — this level only. Every word is real canon for this profile.

Scope: A division
Autonomy: Accountable for division strategy and P&L
Complexity: Market and competitive strategy
Impact: Division-wide
Decision rights: Owns division strategy, budget, and org
Leadership: Leads a division's leadership 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 E3 is E4.

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
Chief Accounting Officer	jfo_jfm_accounting-controllership-accounting-management::E3	—	confident0.00
Chief Cost Accounting Officer	jfo_jfm_accounting-cost-accounting::E3	—	confident0.00
Chief Accounting Officer	jfo_jfm_accounting-general-accounting-management::E3	—	confident0.00
Chief Accounting Officer	jfo_jfm_accounting-general-accounting::E3	—	confident0.00

Capability cluster

O*NET 17-2112

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

E3

jfo_jfm_manufacturing-industrial-engineering-equipment-maintenance-r::E3

Chief Reliability Officer

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: E
Universal level: 3 / 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::E3 · E3confident0.00

jfo_jfm_accounting-cost-accounting::E3 · E3confident0.00

jfo_jfm_accounting-general-accounting-management::E3 · E3confident0.00

jfo_jfm_accounting-general-accounting::E3 · E3confident0.00

jfo_jfm_administrative-corporate-services-administrative-services-ma::E3 · E3confident0.00

jfo_jfm_administrative-corporate-services-administrative-support::E3 · E3confident0.00

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 17-2112	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)