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Key statistics

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

5 of 8

Track

Individual contributor

Family rungs priced

—

11-0000

—

Coordinates

3 / 4 spaces

pay@2 · 2026-07

What this role is

Expert individual contributor who designs and drives enterprise-wide operational excellence strategies across manufacturing sites. At the Expert Professional (P5) level, the role owns multiple systems or a technical domain, establishes the approach, and drives org / multi-team outcomes. Leads cross-team technical initiatives.

What this level does

Establish and own the Operational Excellence framework for a site, acting independently on broad assignments that shape strategic cost, quality, and throughput objectives.
Resolve ambiguous, intangible improvement problems where root causes span multiple systems, defining the improvement hypothesis the plant relies on.
Set site-level continuous-improvement targets and build influential networks with plant leadership, serving as internal spokesperson for the Opex program.
Direct the design of standardized improvement methodologies, catalogs of proven countermeasures, and maturity models others adopt with confidence.
Supervise specialists on special assignments and mentor the improvement community across the site.

Knowledge applied: Applies expert judgment on intangibles to define a site's improvement framework, drawing on proven countermeasure catalogs and improvement precedent.
Complexity & problem solving: Acts independently on broad, ambiguous improvement problems whose root causes span multiple systems; sets the improvement hypothesis the plant relies on.
Collaboration & interaction: Builds influential networks with plant leadership; serves as internal spokesperson and mentors the Opex community.
Typical experience: 12+ years with extensive operational-excellence expertise.

Skills at this level

Lean Manufacturing: — Applies Toyota-derived Lean techniques — waste elimination, flow, and pull — to reduce production time and cost across manufacturing lines and cells.
Six Sigma / Lean Six Sigma: — Uses the DMAIC (and advanced DMADV) improvement cycle to reduce process defects and variation and drive measurable organizational change on the shop floor.
Value Stream Mapping: — Maps the end-to-end material and information flow of a production process to expose waste, bottlenecks, and improvement opportunities.
Kaizen Event Facilitation: — Plans and runs focused, time-boxed continuous-improvement events that mobilize floor teams to redesign a process and implement changes quickly.
5S and Visual Management: — Organizes and standardizes the workplace and deploys visual controls so process status and abnormalities are immediately apparent to operators and leaders.
Statistical Process Control (SPC): — Monitors process behavior with control charts and statistical analysis to distinguish common-cause from special-cause variation and trigger corrective action.
OEE Analysis: — Tracks Overall Equipment Effectiveness — availability, performance, and quality — to quantify equipment losses and target improvement on production lines.
Standard Work and Daily Management: — Establishes documented best-practice work sequences and daily management routines that sustain process stability and surface deviations for action.
PDCA Problem-Solving: — Drives structured Plan-Do-Check-Act cycles to test process changes iteratively and lock in verified improvements.
Root Cause Analysis: — Investigates process and quality failures to find and eliminate underlying causes, preventing recurrence across production.
Total Productive Maintenance (TPM): — Engages operators and maintenance in preventive care of equipment to minimize unplanned downtime and stabilize production output.
Operational Excellence Framework Design: — Defines the management system, maturity model, and standardized methodology that govern how continuous improvement is executed across sites.
Manufacturing Automation Integration: — Evaluates and deploys automation, AI, and robotics into production lines to raise efficiency while balancing cost, quality, and reliability trade-offs.
Cross-Functional Team Leadership: — Aligns production, quality, maintenance, and engineering stakeholders around shared improvement goals and drives change through influence.

Model-authored from 19 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 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 P5 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$231k

San Francisco-Oakland-Fremont, CA$207k

Washington-Arlington-Alexandria, DC-VA-MD-WV$191k

Boulder, CO$189k

Seattle-Tacoma-Bellevue, WA$189k

Boston-Cambridge-Newton, MA-NH$181k

Lexington Park, MD$176k

Trenton-Princeton, NJ$175k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $138k; 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 P5 (P5 — Expert Professional) from the levels around it — this level only. Every word is real canon for this profile.

Scope: Multiple systems or a technical domain
Autonomy: Sets direction within the domain
Complexity: Novel, high-ambiguity problems; establishes the approach
Impact: Org / multi-team outcomes
Decision rights: Authority over a technical domain
Leadership: Leads cross-team technical initiatives

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

Promotion

The next rung from P5 is P6.

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
Staff Accounting Controller	jfo_jfm_accounting-controllership-accounting-management::P5	—	confident0.00
Expert General Accounting Accountant	jfo_jfm_accounting-general-accounting-management::P5	—	confident0.00
Expert Administrative Services Specialist	jfo_jfm_administrative-corporate-services-administrative-services-ma::P5	—	confident0.00
Expert Administrative Support Specialist	jfo_jfm_administrative-corporate-services-administrative-support::P5	—	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

P5

jfo_jfm_manufacturing-operations-operational-excellence-in-manufactu::P5

Staff Operational Excellence Engineer

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: P
Universal level: 5 / 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::P5 · P5confident0.00

jfo_jfm_accounting-general-accounting-management::P5 · P5confident0.00

jfo_jfm_administrative-corporate-services-administrative-services-ma::P5 · P5confident0.00

jfo_jfm_administrative-corporate-services-administrative-support::P5 · P5confident0.00

jfo_jfm_business-development-corporate-strategy::P5 · P5confident0.00

jfo_jfm_business-process-operations-management-general-operations::P5 · P5confident0.00

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)