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Key statistics

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

1 of 8

Track

Individual contributor

Family rungs priced

P1 · P2 · P3 · P4 · P5 · P6

53-0000

industrial_energy_operations

Coordinates

3 / 4 spaces

pay@2 · 2026-07

What this role is

Entry-level professional supporting vessel and platform positioning, ballast control, and subsea operations under supervision. At the Entry-Level Professional (P1) level, the role owns own tasks within a defined component, routine problems with known solutions, and drives own deliverables. None — building the craft.

What this level does

Maintain and distribute damage reporting relating to cargo and vessel operations under close supervision, following defined reporting templates and procedures
Assist in coordinating vessel movements, cargo handling and personnel movements, escalating any anomalies to a senior coordinator
Record and file inspection, certification and safety documentation so that records are current and retrievable when requested
Learn and apply federal and state vessel operating rules and safety protocols on routine, well-defined tasks
Support daily cargo loading and unloading checks, flagging discrepancies against manifests to the responsible lead

Knowledge applied: Applies basic knowledge of vessel operating rules, safety protocols and cargo documentation to routine, well-defined marine tasks; relies on standard procedures and templates.
Complexity & problem solving: Handles routine problems with standard answers, such as filing damage reports and flagging manifest discrepancies; escalates anything non-standard.
Collaboration & interaction: Maintains stable working relationships within the marine operations team and reports issues to a senior coordinator.
Typical experience: 0–1 years; high school diploma or equivalent, new to marine operations or in an internship/entry role.

Skills at this level

Vessel Scheduling and Movement Coordination: — Plans and directs vessel movements, personnel movements and harbour activities across ports, sequencing arrivals, berthing and departures to achieve safe, timely and cost-effective execution.
Cargo Handling and Marine Logistics: — Coordinates loading, unloading and transit of cargo, aligning schedules and resources so shipments are delivered on time while resolving manifest and damage-reporting discrepancies.
USCG Inspection and Certification Management: — Tracks and schedules statutory vessel inspections and certification renewals with the USCG, notifying the Director, Port Captain and Chief Port Engineer 60 days ahead and managing the renewal cycle to keep vessels compliant.
Marine Fleet Maintenance Oversight: — Oversees the maintenance, repair and efficient operation of the marine fleet — including shipboard equipment such as pumps, hydraulics, generators, steering gears and anchor windlass — to optimize vessel performance within safety limits.
Vessel Operating Cost Budgeting: — Analyzes costs of vessel and cargo operations across ports and interfaces with the Engineering Department to prepare and monitor the annual Vessel Operating Cost budget, prioritizing contracted-services and capital-project expenditures.
Maritime Regulatory and Safety Compliance: — Applies federal and state vessel operating rules, safety protocols and environmental regulations to marine operations, and builds safety culture consistent with loss-control goals.
Marine Vendor and Agency Relations: — Handles clients diplomatically and networks with vendors, operators, port authorities and agencies in the marine community to secure services and resolve operational issues.
Marine Navigation and Communication Systems: — Uses modern marine navigation and communication systems to monitor vessel position, coordinate movements and maintain contact across shipboard and shoreside operations.
Shipyard Period Operational Support: — Provides operational representation and field support during scheduled vessel shipyard periods, coordinating repair scope, timelines and re-entry into service across ports of call.
Marine Operations Strategic Planning: — Sets policy, performance targets and long-range plans for a marine operations section spanning commercial cargo, cruise, fishing-vessel and mooring facilities, aligning personnel and activities to organizational objectives.

Model-authored from 20 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

Marine Operations — 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?

SOC 53-0000 · national

Employment growth 2019–2024, BLS OEWSobserved

+2.0%Ship Engineers · United States

8,410 → 8,580 jobs

1,100 openings / year, split into:

replacement / exits 1,086

Growth — new jobs (1%)Exits — backfill (99%)

1% of hiring here is genuine expansion; the rest backfills people who move on.

Projected growth 2024–34 expanding: +1.6%
Growth share of hiring: 1%
Exit / retention pressure high: 99%
Openings / year: 1,100

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 P1 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$106k

San Francisco-Oakland-Fremont, CA$95k

Washington-Arlington-Alexandria, DC-VA-MD-WV$88k

Boulder, CO$87k

Seattle-Tacoma-Bellevue, WA$87k

Boston-Cambridge-Newton, MA-NH$83k

Lexington Park, MD$81k

Trenton-Princeton, NJ$81k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $64k; 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 P1 (P1 — Entry-Level Professional) from the levels around it — this level only. Every word is real canon for this profile.

Scope: Own tasks within a defined component
Autonomy: Close supervision; work reviewed frequently
Complexity: Routine problems with known solutions
Impact: Own deliverables
Decision rights: Few independent decisions; escalates the rest
Leadership: None — building the craft

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

Promotion

The next rung from P1 is P2.

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
VP of Marine Operations	jf_marine_operations::E1	$169,459†	confident0.06
Marine Operations Supervisor	jf_marine_operations::M1	$85,619†	confident0.06
Marine Operations Assistant	jf_marine_operations::S1	$37,323†	confident0.06
Marine Operations Engineer	jf_marine_operations::P2	$72,357†	confident0.06

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

Capability cluster

O*NET 53-5031

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

P1

jf_marine_operations::P1

Marine Operations Associate

Marine Operations

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
Superfunction: industrial_energy_operations
Function: field_operations
Family: marine_operations
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").

Battery Storage Operations · P1review0.17

Drilling Operations · P1review0.17

Field Maintenance · P1review0.17

Field Measurement · P1review0.17

Mining Operations · P1review0.17

Field Operations · P1review0.17

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 53-5031	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)