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Key statistics

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

2 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

An early-career marine operations professional who supports vessel and platform positioning, ballast control, and subsea equipment activities under routine guidance. At the Developing Professional (P2) level, the role owns defined deliverables / small features, applies established patterns, and drives own and immediate-team deliverables. May guide interns.

What this level does

Coordinate marine logistics including scheduling, loading and unloading of cargo to ensure timely delivery and efficient resource utilization within established procedures
Track and report 60 days in advance upcoming inspections and certification renewals, drafting the notice to the Director of Marine Operations, Port Captain and Chief Port Engineer for review
Oversee routine maintenance and repair scheduling for assigned vessels, confirming work is completed in compliance with safety and environmental regulations
Coordinate and oversee day-to-day vessel movements and personnel movements, exercising routine independence within familiar port operations
Compile cargo and vessel operating data for the section, resolving conventional scheduling and documentation issues without escalation

Knowledge applied: Applies working knowledge of marine logistics, inspection/certification cycles and safety/environmental regulations to conventional scheduling and maintenance-coordination tasks.
Complexity & problem solving: Exercises judgment on moderately complex, familiar problems such as coordinating loading/unloading and drafting inspection-renewal notices; works under general instruction with routine independence.
Collaboration & interaction: Builds productive relationships with vendors, vessel crews and internal engineering contacts to keep scheduling and maintenance on track; may guide entry-level staff.
Typical experience: 2+ years in marine operations, or a Bachelor's in Marine Engineering/Nautical Science with limited experience.

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 P2 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$124k

San Francisco-Oakland-Fremont, CA$112k

Washington-Arlington-Alexandria, DC-VA-MD-WV$103k

Boulder, CO$102k

Seattle-Tacoma-Bellevue, WA$102k

Boston-Cambridge-Newton, MA-NH$97k

Lexington Park, MD$95k

Trenton-Princeton, NJ$94k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $75k; 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 P2 (P2 — Developing Professional) from the levels around it — this level only. Every word is real canon for this profile.

Scope: Defined deliverables / small features
Autonomy: General supervision; reviewed at milestones
Complexity: Some non-routine problems; applies established patterns
Impact: Own and immediate-team deliverables
Decision rights: Routine technical choices within guidance
Leadership: May guide interns

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

Promotion

The next rung from P2 is P3.

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
SVP of Marine Operations	jf_marine_operations::E2	$322,728†	confident0.06
Senior Supervisor, Marine Operations	jf_marine_operations::M2	$110,455†	confident0.06
Marine Operations Technician	jf_marine_operations::S2	$42,923†	confident0.06
Marine Operations Associate	jf_marine_operations::P1	$61,862†	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

P2

jf_marine_operations::P2

Marine Operations Engineer

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: 2 / 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 · P2review0.17

Drilling Operations · P2review0.17

Field Maintenance · P2review0.17

Field Measurement · P2review0.17

Mining Operations · P2review0.17

Field Operations · P2review0.17

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 of2026-07-31Editioncanon-v2@2.1.0-completeSourcecanon-v2 cell + salary-benchmark (model)