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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

11-0000

manufacturing

Coordinates

3 / 4 spaces

pay@2 · 2026-07

What this role is

Manages a team of drivers and yard staff responsible for delivering goods and moving trailers within a distribution operation. 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

Manage the transportation department's operations and budget, coordinating, planning, and overseeing transport activities to ensure efficient and safe movement of goods
Evaluate trends across transportation KPIs and traceability data to drive process improvements and address diverse recurring issues in the freight network
Ensure department-wide compliance with safety, union, and environmental legislation governing transportation operations
Lead cross-functional coordination with procurement, warehousing, and distribution teams, and may direct junior supervisors managing coordinator pools

Knowledge applied: Applies full transportation operations command to direct, coordinate, and oversee transport activities and manage departmental budgets.
Complexity & problem solving: Evaluates diverse issues and KPI/traceability trends to drive improvements across the freight operation.
Collaboration & interaction: Leads functional transportation teams and coordinates cross-functionally with procurement, warehousing, and distribution.
Typical experience: 5–7+ years managing transportation professionals and operating budgets; may lead junior supervisors.

Skills at this level

Supply chain domain knowledge: — Knows the ins and outs of the end-to-end supply chain — procurement, transportation, distribution, and warehousing — to make transportation choices that align with company objectives.
Transportation Management Systems (TMS) proficiency: — Uses transportation management systems (e.g., Oracle Transportation Management) to book freight, maintain shipment records, and track transit KPIs and product traceability.
Mode and carrier selection: — Selects the most appropriate transportation mode — air, sea, rail, or road — and carrier based on urgency, cost, and reliability for each shipment.
Transit disruption resolution: — Resolves transportation issues and delays as they arise under time pressure, rerouting or substituting modes to protect delivery commitments.
Regulatory and trade compliance knowledge: — Understands transportation regulations, customs documentation, and global trade rules, and ensures operations comply with safety, union, and environmental legislation in domestic and international contexts.
Cross-functional coordination: — Acts as the communication link between production, sales, warehousing, and distribution to facilitate a seamless supply chain operation and align delivery appointments.
Transportation KPI monitoring: — Continuously monitors supply chain KPIs to detect deviations in transit performance and maintains full product traceability across the freight network.
Shipment Visibility (RTTV) systems design: — Designs and implements real-time transportation visibility systems to give the organization live tracking of shipments in transit.
Network design and optimization: — Runs network design analyses including evaluation of optimal locations for manufacturing or distribution nodes and assessment of total transportation costs.
Transportation budget management: — Plans and manages departmental transportation operating budgets, controlling freight cost while sustaining service levels.
Carrier and 3PL negotiation: — Negotiates rates, capacity, and service commitments with carriers and third-party logistics partners to secure reliable, cost-effective transport.
Transportation strategy leadership: — Shapes long-term transportation strategy connecting demand, supply, and financial planning, moving the function beyond daily scheduling to strategic decision-making.

Model-authored from 24 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

Transportation — 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

+61.3%Transportation, Storage, and Distribution Managers · United States

132,040 → 213,000 jobs

18,500 openings / year, split into:

replacement / exits 17,178

Growth — new jobs (7%)Exits — backfill (93%)

7% of hiring here is genuine expansion; the rest backfills people who move on.

Projected growth 2024–34 expanding: +6.1%
Growth share of hiring: 7%
Exit / retention pressure high: 93%
Openings / year: 18,500

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 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 Transportation Officer	jf_transportation::E3	$363,257	confident0.06
Truck Driver	jf_transportation::P3	$85,090	confident0.06
Senior Driver	jf_transportation::S3	$51,142	confident0.06
Senior Supervisor, Transportation	jf_transportation::M2	$113,967	confident0.06

Capability cluster

O*NET 11-3071

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_transportation::M3

Transportation Manager

Transportation

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: supply_chain
Family: transportation
Universal level: 3 / 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").

Demand / Forecast Planning · M3review0.17

Distribution Center / Warehouse · M3review0.17

Materials · M3review0.17

Purchasing / Procurement · 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 11-3071	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)