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Key statistics

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

3 of 8

Track

Management

Family rungs priced

M1 · M2 · M3 · M4 · M5 · M6

—

manufacturing

Coordinates

2 / 4 spaces

pay@2 · 2026-07

What this role is

Manages a team applying lean manufacturing and design-for-manufacture practices to speed products from concept to high-volume production. At the Senior Manager (M3) level, the role owns multiple teams or a sub-function, multi-team execution and resourcing trade-offs, and drives sub-function outcomes. Manages managers and/or several teams.

What this level does

Leads the lean/continuous-improvement function for a department or plant area, responsible for its operating budget, staffing, and the annual Kaizen roadmap
Identifies opportunities for reducing costs and improving productivity across diverse process areas, coordinating implementation and optimizing machining/manufacturing processes for quality, efficiency, and repeatability
Evaluates trends across multiple lines to target systemic waste — not just point problems — and defines the improvement portfolio accordingly
Facilitates the planning and implementation of workplace flow and layout, equipment installations, modifications, and moves according to Lean concepts
May lead other managers or cross-functional professionals, aligning maintenance, quality, and production around shared lean control plans

Knowledge applied: Deploys lean methods across diverse process areas and owns department/plant-area improvement operations and budget.
Complexity & problem solving: Evaluates trends across lines to target systemic waste and defines the improvement portfolio.
Collaboration & interaction: Leads functional or cross-functional teams; may lead other managers and align maintenance/quality/production.
Typical experience: 5–7+ years managing professionals and budgets.

Skills at this level

Lean Six Sigma Methodologies: — Applies continuous-improvement and process-optimization methods — VSM, standard work, 5S, SMED, Kanban, TPM, Kaizen — to eliminate waste and increase throughput in manufacturing operations.
Root Cause Analysis: — Uses structured problem-solving to identify the permanent root cause of recurring quality and productivity issues on the production floor and drives corrective control plans.
Time Study & Work Standards: — Conducts and audits time studies to set time standards, measure productivity, and support estimation of manufacturing costs.
Workshop Facilitation & Kaizen Leadership: — Organizes and facilitates improvement workshops (changeover, 5S, TPM, Value Stream, material flow), scoping opportunities and leading teams to solutions and control plans.
Lean Coaching & Capability Building: — Coaches, trains, and mentors cross-functional teams in Lean/Six Sigma tools (GEMBA, DOE, TPI) to build capability and sustain adoption of improvements.
Workplace Flow & Layout Design: — Plans and implements workplace flow, line layout, and equipment installations, modifications, and moves according to Lean concepts.
Manufacturing Systems (ERP/MES): — Uses ERP and MES systems to pull production data, track standards and losses, and feed improvement decisions in manufacturing operations.
New Line Start-up & NPI: — Leads advanced manufacturing plans to start up new production lines, commission plants, and introduce new products into manufacturing operations.
Stakeholder Alignment for Lean Adoption: — Aligns diverse teams around lean principles through communication and stakeholder engagement to ensure sustainable, measurable adoption.
Manufacturing Strategy & Technology Evaluation: — Contributes to long-term manufacturing planning and evaluates new technologies such as digital manufacturing and AI-enabled process optimization for adoption.

Model-authored from 18 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?

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 M3 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$207k

San Francisco-Oakland-Fremont, CA$186k

Washington-Arlington-Alexandria, DC-VA-MD-WV$172k

Boulder, CO$169k

Seattle-Tacoma-Bellevue, WA$169k

Boston-Cambridge-Newton, MA-NH$162k

Lexington Park, MD$158k

Trenton-Princeton, NJ$157k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $124k; 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 M3 (M3 — Senior Manager) from the levels around it — this level only. Every word is real canon for this profile.

Scope: Multiple teams or a sub-function
Autonomy: Sets goals within functional strategy
Complexity: Multi-team execution and resourcing trade-offs
Impact: Sub-function outcomes
Decision rights: Owns goals, budget input, and people decisions across teams
Leadership: Manages managers and/or several teams

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

Promotion

The next rung from M3 is M4.

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 Manufacturing Officer	jf_lean_manufacturing::E3	$363,257	confident0.06
Lean Manufacturing Engineer	jf_lean_manufacturing::P3	$85,090	confident0.06
Senior Lean Manufacturing Technician	jf_lean_manufacturing::S3	$51,142	confident0.06
Senior Lean Manufacturing Supervisor	jf_lean_manufacturing::M2	$113,967	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

M3

jf_lean_manufacturing::M3

Lean Manufacturing Manager

Lean Manufacturing

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: M
Superfunction: manufacturing
Function: manufacturing_expansion
Family: lean_manufacturing
Universal level: 3 / 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) · M3review0.17

Machine Shop · M3review0.17

Maintenance · M3review0.17

Manufacturing Engineering · M3review0.17

Pilot Plant Operations · M3review0.17

Production Test · M3review0.17

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)