People Analytics Toolbox

Ask about this role

grounded in this role's JobFrame record + structure

Download this job's description (markdown) → derived live from this record.

Key statistics

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

4 of 8

Track

Management

Family rungs priced

M1 · M2 · M3 · M4 · M5 · M6

—

operations

Coordinates

2 / 4 spaces

pay@2 · 2026-07

What this role is

Leads multiple manufacturing teams across upstream and downstream operations, ensuring production goals, quality standards, and regulatory compliance are met. At the Director (M4) level, the role owns a function or department, strategic priorities and cross-functional alignment, and drives function-level results. Leads managers; sets direction for the function.

Pay across the ladder

Manufacturing Operations · General — median with , by . Real canon data.

National-base pricing — this family's function differential is pending review, so dollar levels are not function-adjusted (level-over-level % is unaffected).

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

This profile carries no occupation code to look up.

BLS Employment-Projections openings aren't published for this occupation, so the projected growth-vs-exits split isn't shown.

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 M4 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$279k

San Francisco-Oakland-Fremont, CA$251k

Washington-Arlington-Alexandria, DC-VA-MD-WV$232k

Boulder, CO$229k

Seattle-Tacoma-Bellevue, WA$229k

Boston-Cambridge-Newton, MA-NH$219k

Lexington Park, MD$213k

Trenton-Princeton, NJ$212k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $168k; 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 M4 (M4 — Director) from the levels around it — this level only. Every word is real canon for this profile.

Scope: A function or department
Autonomy: Owns area strategy and budget
Complexity: Strategic priorities and cross-functional alignment
Impact: Function-level results
Decision rights: Owns strategy, budget, and org design for the area
Leadership: Leads managers; sets direction for the 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 M4 is M5.

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	MANU.GEN.E4	$381,423†	confident0.05
Manufacturing Operations Manufacturing Technical Specialist (Downstream)	MANU.GEN.P4	$107,277†	confident0.05
Advanced Manufacturing Technician	MANU.GEN.S4	$55,280†	confident0.05
Manufacturing Operations Manager	MANU.GEN.M3	$117,944†	confident0.06

†National-base pricing — this family's function differential is pending review, so the dollar level is not function-adjusted.

Capability cluster

No capability cluster is available for this profile yet.

The Job Swatch

M4

MANU.GEN.M4

Senior Manager, Manufacturing Operations

Manufacturing Operations

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: operations
Function: manufacturing
Family: MANU
Focus: General
Universal level: 4 / 8

Content

content@1

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").

Industrial Manufacturing · M4review0.15

Manufacturing Management / Operations Leadership · M4review0.15

Manufacturing Operations / Bioprocess (Upstream Processing) · M4review0.15

Manufacturing Operations / Frontline Supervision (Upstream Processes) · M4review0.15

Manufacturing Operations / Production Supervision (Downstream Processing) · M4review0.15

Operations – Manufacturing / Equipment Maintenance · M4review0.15

Editions — frozen & versioned

structural@1live

Released 2026-06-17

content@1live

Released 2026-06-17

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	computed
Coordinates	JobFrame coordinate system — structural (weighted Gower) + content fingerprint	structural@1 · content@1 · 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 of2026-07-27Editioncanon-v2@2.1.0-completeSourcecanon-v2 cell + salary-benchmark (model)