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Key statistics

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

1 of 8

Track

Executive

Family rungs priced

E1 · E2 · E3 · E4 · E5

11-0000

manufacturing

Coordinates

3 / 4 spaces

pay@2 · 2026-07

What this role is

Executive who leads the enterprise-wide lean manufacturing strategy from product concept through high-volume production ramp. At the Director (Executive) (E1) level, the role owns a significant function with strategic authority, strategic and cross-functional, and drives function-wide enterprise impact. Executive leadership of a function.

What this level does

Lead the Lean/continuous-improvement function for a plant or sub-function through operations Directors, setting the annual Kaizen, 5S, TPM and Value Stream Mapping program and holding it to measurable cost, quality and productivity targets.
Own plant-level improvement outcomes — championing new production line startups, plant commissioning and new-product introductions into manufacturing operations, and reporting waste-reduction and productivity results to site leadership.
Embed Lean culture across the site workforce, directing the coaching, Work-Out and Six Sigma training programs that make Lean tools and mindset established practice rather than isolated projects.
Interface with peer functional executives (Quality, Supply Chain, Engineering) and major customers on manufacturing capability, resolving the quality and productivity issues with serious functional consequence for the business unit.
Set operational performance metrics and cascade improvement budgets across Director-led teams, ensuring improvements are sustainable and audited against the Quality Management System.

Knowledge applied: Applies deep functional Lean/Six Sigma knowledge and detailed company/plant knowledge to set functional strategy; translates Kaizen, 5S, TPM, VSM and QMS practice into a coherent site improvement program.
Complexity & problem solving: Resolves quality and productivity problems with serious functional/business consequence at plant scale; owns line startup, plant commissioning and NPI-into-manufacturing challenges.
Collaboration & interaction: Interfaces with peer functional executives and major customers on manufacturing capability; leads through operations Directors (M5s).
Typical experience: 12–15+ years of manufacturing/Lean experience with functional and management experience; typically Black Belt-level Lean Six Sigma mastery.

Skills at this level

Continuous Improvement Methodologies: — Directs the enterprise application of lean manufacturing principles and continuous-improvement methodologies such as Kaizen, 5S and Six Sigma, setting the program that governs how sites and divisions pursue process optimization.
Manufacturing Software/Systems Fluency: — Establishes the strategy for Value Stream Mapping and manufacturing systems such as ERP or MES, and sets direction for adopting manufacturing data analytics, digital manufacturing tools and AI-enabled process optimization across operations.
Quality/Troubleshooting Technique: — Governs the quality troubleshooting discipline that optimizes process quality using lean and Six Sigma methods, holding operations accountable for permanently resolving quality and productivity issues at scale.
Standards and JIT Knowledge: — Ensures manufacturing operations meet regulatory requirements and quality standards such as ISO, and embeds Just-in-Time (JIT) manufacturing principles into the enterprise operating model.
Lean Six Sigma Certification: — Maintains and sponsors Lean Six Sigma capability (Green/Black Belt), building the Belt pipeline and coaching program that sustains continuous improvement across the workforce.
Plant Startup & Commissioning Leadership: — Leads advanced manufacturing plans to start up new production lines, commission new plants and introduce new products into manufacturing operations, championing Kaizen and Lean initiatives through the ramp.
Lean Culture Change & Stakeholder Alignment: — Aligns diverse teams around lean principles and drives adoption of new practices through communication and stakeholder engagement, ensuring improvements are sustainable and deliver measurable results across the organization.
Operations Strategy & Long-Term Planning: — Contributes to strategic decision-making and long-term planning for manufacturing, designing and optimizing production systems and setting the technical direction and standards that shape how the organization manufactures.
Executive Talent Development in Manufacturing: — Mentors senior engineers, managers and executives on Lean methodology and manufacturing strategy so the techniques and mindset become established leadership capability across operations.

Model-authored from 16 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

Lean Manufacturing — 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?

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 E1 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$291k

San Francisco-Oakland-Fremont, CA$261k

Washington-Arlington-Alexandria, DC-VA-MD-WV$242k

Boulder, CO$238k

Seattle-Tacoma-Bellevue, WA$238k

Boston-Cambridge-Newton, MA-NH$228k

Lexington Park, MD$222k

Trenton-Princeton, NJ$221k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $175k; 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 E1 (E1 — Director (Executive)) from the levels around it — this level only. Every word is real canon for this profile.

Scope: A significant function with strategic authority
Autonomy: Sets functional strategy
Complexity: Strategic and cross-functional
Impact: Function-wide enterprise impact
Decision rights: Owns strategy and investment for the function
Leadership: Executive leadership of a function

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

Promotion

The next rung from E1 is E2.

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
Lean Manufacturing Supervisor	jf_lean_manufacturing::M1	$88,342	confident0.06
Associate Lean Manufacturing Engineer	jf_lean_manufacturing::P1	$63,829	confident0.06
Lean Manufacturing Associate	jf_lean_manufacturing::S1	$38,510	confident0.06
SVP of Lean Manufacturing	jf_lean_manufacturing::E2	$332,990	confident0.06

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

E1

jf_lean_manufacturing::E1

VP of Lean Manufacturing

Lean Manufacturing

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: lean_manufacturing
Universal level: 1 / 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").

Chemistry, Manufacturing & Controls (CMC) · E1review0.17

Machine Shop · E1review0.17

Maintenance · E1review0.17

Manufacturing Engineering · E1review0.17

Pilot Plant Operations · E1review0.17

Production Test · E1review0.17

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