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Key statistics

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

4 of 8

Track

Executive

Family rungs priced

—

11-0000

—

Coordinates

3 / 4 spaces

pay@2 · 2026-07

What this role is

Top-tier executive accountable for the entire organization's manufacturing and operational performance. At the Senior Vice President (E4) level, the role owns multiple divisions, enterprise strategy and external stakeholders, and drives cross-division / enterprise. Leads division leaders.

What this level does

Oversee a large manufacturing operations portfolio spanning multiple strategic areas and businesses, with high autonomy and direct corporate impact.
Participate in enterprise strategic development, integrating manufacturing capability, footprint, and technology roadmap into overall company strategy.
Engage regularly with the board, CEO, and industry leaders on operations capacity, resilience, and major capital and transformation programs.
Set the cross-business operating model and performance framework for lean, quality, safety, and cost across the manufacturing enterprise.
Own corporate-level operations P&L and capital allocation, balancing near-term output commitments against long-horizon competitiveness and profitability.

Knowledge applied: Participates in enterprise strategic development, translating manufacturing capability into overall company strategy across multiple businesses.
Complexity & problem solving: Directs a large multi-area operations portfolio with high autonomy and direct corporate impact, balancing output against long-horizon competitiveness.
Collaboration & interaction: Engages regularly with board, CEO, and industry leaders on capacity, resilience, and major transformation and capital programs.
Typical experience: 20+ years of extensive corporate operations strategy and executive leadership.

Skills at this level

Manufacturing operations leadership: — Inspires and leads integrated production organizations spanning manufacturing, maintenance, quality, materials, and process engineering, cited consistently as crucial across the manufacturing operations role.
Production strategy formulation: — Formulates production strategies that align facility output with the company's broader business goals, setting performance targets across the manufacturing organization.
Lean and continuous improvement: — Optimizes manufacturing efficiency through lean practices and continuous-improvement methodologies, driving process optimization, cost reduction, and quality gains.
Multi-site P&L management: — Owns operations P&L and budget with full budget-owning, strategy-setting autonomy, holding executive financial accountability across multiple manufacturing facilities.
Production planning and resource coordination: — Plans and organizes production schedules and coordinates resource requirements across production control and materials to meet output targets.
Quality and compliance governance: — Ensures products meet specifications and the manufacturing process complies with safety regulations and industry/quality standards.
Operations data analysis: — Tracks production trends and performance metrics through data analysis to anticipate issues and inform strategic decisions on equipment, technology, and layout.
Manufacturing technology decisioning: — Evaluates and directs adoption of industry-specific manufacturing software, MOM systems, and production technology as strategic levers for productivity.
Executive stakeholder communication: — Articulates complex operational concepts to stakeholders at all levels, from front-line employees to board members and major customers.
Production talent management: — Leads recruitment, development, and retention within the production team to drive operational excellence, minimize costs, and enhance product quality.
Capital and equipment investment planning: — Makes strategic decisions to procure new equipment, implement new technologies, or reorganize production layout in response to production trends and capacity needs.

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.

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

SOC 11-0000 · national

Employment growth 2019–2024, BLS OEWSobserved

+26.2%Industrial Production Managers · United States

185,790 → 234,380 jobs

17,100 openings / year, split into:

replacement / exits 16,640

Growth — new jobs (3%)Exits — backfill (97%)

3% of hiring here is genuine expansion; the rest backfills people who move on.

Projected growth 2024–34 expanding: +1.9%
Growth share of hiring: 3%
Exit / retention pressure high: 97%
Openings / year: 17,100

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 E4 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$648k

San Francisco-Oakland-Fremont, CA$582k

Washington-Arlington-Alexandria, DC-VA-MD-WV$538k

Boulder, CO$531k

Seattle-Tacoma-Bellevue, WA$531k

Boston-Cambridge-Newton, MA-NH$508k

Lexington Park, MD$495k

Trenton-Princeton, NJ$492k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $389k; 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 E4 (E4 — Senior Vice President) from the levels around it — this level only. Every word is real canon for this profile.

Scope: Multiple divisions
Autonomy: Owns cross-division strategy
Complexity: Enterprise strategy and external stakeholders
Impact: Cross-division / enterprise
Decision rights: Owns strategy and investment across divisions
Leadership: Leads division leaders

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

Promotion

The next rung from E4 is E5.

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
Global Chief Accounting Officer	jfo_jfm_accounting-controllership-accounting-management::E4	—	confident0.00
Chief Financial Officer	jfo_jfm_accounting-cost-accounting::E4	—	confident0.00
Group Chief Accounting Officer	jfo_jfm_accounting-general-accounting-management::E4	—	confident0.00
Chief Financial Officer	jfo_jfm_accounting-general-accounting::E4	—	confident0.00

Capability cluster

O*NET 11-3051

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

E4

jfo_jfm_manufacturing-operations-manufacturing-management-operations::E4

Chief Operating 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: 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::E4 · E4confident0.00

jfo_jfm_accounting-cost-accounting::E4 · E4confident0.00

jfo_jfm_accounting-general-accounting-management::E4 · E4confident0.00

jfo_jfm_accounting-general-accounting::E4 · E4confident0.00

jfo_jfm_administrative-corporate-services-administrative-services-ma::E4 · E4confident0.00

jfo_jfm_administrative-corporate-services-administrative-support::E4 · E4confident0.00

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 11-3051	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)