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Key statistics

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

4 of 8

Track

Executive

Family rungs priced

E1 · E2 · E3 · E4 · E5

—

manufacturing

Coordinates

2 / 4 spaces

pay@2 · 2026-07

What this role is

Top executive accountable for the enterprise's entire machining and automated production operation. 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

Oversees large manufacturing portfolios spanning machining and adjacent strategic areas (fabrication, assembly, supply), with high autonomy and direct corporate impact on manufacturing competitiveness
Participates in enterprise strategic development, positioning precision-machining capability and automation as a differentiator in the company's product and market strategy
Engages the board, CEO, and industry leaders regularly on manufacturing capacity, technology bets, and risk to the machined-part supply base
Directs cross-business machining and manufacturing strategy — capital deployment, footprint, and capability investment — across the full organization
Owns the enterprise's manufacturing risk posture, ensuring machining quality, continuity, and cost structure support long-term corporate viability

Knowledge applied: Participates in enterprise strategic development, integrating machining and manufacturing capability into corporate product and market strategy with high autonomy.
Complexity & problem solving: Addresses corporate-impact problems across a large manufacturing portfolio spanning multiple strategic areas, owning the enterprise manufacturing risk posture.
Collaboration & interaction: Engages board, CEO, and industry leaders regularly and directs cross-business/functional manufacturing strategy with broad organizational reach.
Typical experience: 20+ years of extensive corporate manufacturing strategy and executive leadership experience.

Skills at this level

CNC/CAM Machining Strategy: — Sets enterprise-level standards for generating and optimizing G-code via CAD/CAM software, governing speeds and feeds, tooling, work holding, and material behavior so machined parts meet spec across shops.
Fixture and Tooling Portfolio Management: — Directs tooling-inventory and fixture-design strategy and capital investment across the machining function, ensuring the right cutting tools and work holding are available to hold tight tolerances at scale.
Manufacturing Process Ownership: — Owns the machining process chain from blueprint/CAD interpretation through setup, machining, and inspection at the shop or network level, shifting scope from individual machines to the whole process.
Lean and Six Sigma Program Leadership: — Institutionalizes continuous-improvement techniques such as lean manufacturing and Six Sigma across machining operations to reset cost, cycle-time, and quality baselines.
Tolerance and Quality Governance: — Governs inspection and quality-control systems that verify machined parts meet specifications, using CAPA-driven root-cause analysis to prevent recurrence of tolerance and defect problems.
Cross-Functional Engineering Collaboration: — Leads the interface with R&D, manufacturing, and fixture-design engineering teams on troubleshooting, process improvement, and design feedback to keep parts manufacturable.
Machining Talent Development: — Builds the machinist and machining-leadership pipeline, accounting for the multi-year apprenticeship and 8–10+ year path to expert level and the transition of experienced machinists into leadership and technical-support roles.
Manufacturing Capital and Footprint Strategy: — Allocates multi-year capital for machine tools, automation, and shop network footprint, and makes make-vs-buy and capacity decisions that affect manufacturing competitiveness.
Executive Stakeholder and Board Engagement: — Represents machining and manufacturing capability to major customers, boards, investors, and industry partners on precision, quality, continuity, and delivery commitments.
Precision Machining Technical Judgment: — Applies detail-focused technical judgment — grounded in blueprint reading, applied machining mathematics, and material knowledge — as the ultimate escalation authority on the shop's hardest machining problems.

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

Machine Shop — median with , by . Real canon data.

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?

Employment growth 2019–2024, BLS OEWSobserved

-22.1%Machinists · United States

383,470 → 298,790 jobs

29,500 openings / year, split into:

replacement / exits 29,500

Growth — new jobs (0%)Exits — backfill (100%)

This occupation is projected to contract — every opening is replacing someone leaving, not net new demand.

Projected growth 2024–34 contracting: 0.0%
Growth share of hiring: 0%
Exit / retention pressure high: 100%
Openings / year: 29,500

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 it pays — by metro

OEWS metro median

San Jose-Sunnyvale-Santa Clara, CA$669k

San Francisco-Oakland-Fremont, CA$600k

Washington-Arlington-Alexandria, DC-VA-MD-WV$555k

Boulder, CO$548k

Seattle-Tacoma-Bellevue, WA$548k

Boston-Cambridge-Newton, MA-NH$524k

Lexington Park, MD$511k

Trenton-Princeton, NJ$508k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $402k; 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
Senior Manager, Machine Shop Operations	jf_machine_shop::M4	$173,021	confident0.06
Senior CNC Machinist	jf_machine_shop::P4	$112,946	confident0.06
Advanced CNC Machinist	jf_machine_shop::S4	$58,202	confident0.06
Chief Manufacturing Officer	jf_machine_shop::E3	$363,257	confident0.06

Capability cluster

O*NET 51-4041

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

jf_machine_shop::E4

Chief Manufacturing Officer

Machine Shop

no content fingerprint

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
Superfunction: manufacturing
Function: manufacturing_expansion
Family: machine_shop
Universal level: 4 / 8

Content

content@2

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

No content fingerprint for this profile.

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").

Chemistry, Manufacturing & Controls (CMC) · E4review0.17

Lean Manufacturing · E4review0.17

Maintenance · E4review0.17

Manufacturing Engineering · E4review0.17

Pilot Plant Operations · E4review0.17

Production Test · E4review0.17

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 51-4041	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)