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Key statistics

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

4 of 8

Track

Individual contributor

Family rungs priced

P1 · P2 · P3 · P4 · P5 · P6

—

industrial_energy_operations

Coordinates

2 / 4 spaces

pay@2 · 2026-07

What this role is

Experienced individual contributor who ensures the structural integrity, compliance, and performance of energy or mining assets across their lifecycle. At the Senior Professional (P4) level, the role owns a system or set of related features, devises new approaches, and drives multi-team / function outcomes. Technical lead for focused efforts; mentors several.

What this level does

Develops and owns the annual utilities operations budget and multi-year capital plan for a portfolio, forecasting energy costs, projects, and lifecycle replacement needs to optimize total cost of ownership.
Leads in-depth studies evaluating assets to determine useful life and to maintain the desired fleet for the company, analyzing complex trade-offs between risk, cost, and reliability.
Coordinates across technical, finance, and operations groups to model the financial and operational impact of major changes to generation assets or the business environment.
Selects and standardizes valuation and lifecycle-costing methods for the team, and may lead a small project team or supervise analysts on a defined engagement.

Knowledge applied: Applies in-depth expertise in budget ownership, multi-year capital planning, and fleet lifecycle strategy to complex issues with functional-level impact.
Complexity & problem solving: Performs in-depth analysis of complex, interdependent variables — useful-life determination, total-cost-of-ownership optimization, and portfolio trade-offs.
Collaboration & interaction: Coordinates across technical, legal, finance, and operations groups and may influence asset investment decisions; may supervise or lead a project team.
Typical experience: 8+ years in energy/utility asset management, often with graduate education.

Skills at this level

Energy asset domain knowledge: — Draws on experience with energy assets, utility data, and IoT devices to articulate the ROI of asset initiatives and to reason about system integrations, data modeling, and system architecture in a utility context.
Asset lifecycle management: — Manages every stage of an energy asset's life — from daily operation to condition-and-performance maintenance to renewal or disposal — balancing risk, cost, and reliability to determine useful life and desired fleet composition.
Renewable energy asset management: — Manages the financial and operational performance of renewable assets such as solar, wind, and utility-scale or hybrid BESS projects, applying P&L knowledge to optimize returns across the portfolio.
O&M forecasting and capital planning: — Builds annual operations budgets and multi-year capital plans, forecasting energy costs, upgrade projects, and lifecycle replacement needs to optimize total cost of ownership across a generation fleet.
Generation asset valuation and feasibility analysis: — Evaluates the value and impact of on-site energy assets — storage, distributed generation, efficiency — and conducts upgrade feasibility studies and monthly margin analysis to quantify the financial impact of asset and business-environment changes.
Capital vs. O&M allocation and lease accounting: — Classifies asset-related spend between capital and operating expense, handles lease accounting treatment, and maintains lifecycle records to support accurate budgeting and variance analysis in the utilities industry.
People leadership: — Manages team performance, sets business goals, provides ongoing coaching and mentorship, and builds organizational capabilities in asset management aligned with long-term strategy.
Investment strategy advisory: — Translates market conditions, asset valuation, and portfolio data into capital allocation and investment recommendations for senior leadership, engaging external partners, advisors, and regulatory bodies as needed.
Consulting engagement leadership: — Leads asset-management engagements with utility clients, turning client goals into concrete projects and proposals and cultivating client partnerships through the engagement lifecycle.
Asset-management methodology development: — Develops methodologies, service offerings, and best practices for energy & utilities asset management, embedding thought leadership in emerging technologies into the organization through partnerships and IP.
Business development for asset services: — Acts as a subject-matter expert in pursuits by creating work plans, pricing estimates, and risk assessments for prospects, and builds a professional network in the utilities community to win asset-management work.

Model-authored from 21 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

Assets — 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

-1.0%Engineers, All Other · United States

152,340 → 150,750 jobs

9,300 openings / year, split into:

replacement / exits 8,967

Growth — new jobs (4%)Exits — backfill (96%)

4% of hiring here is genuine expansion; the rest backfills people who move on.

Projected growth 2024–34 expanding: +2.1%
Growth share of hiring: 4%
Exit / retention pressure high: 96%
Openings / year: 9,300

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 P4 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$178k

San Francisco-Oakland-Fremont, CA$160k

Washington-Arlington-Alexandria, DC-VA-MD-WV$148k

Boulder, CO$146k

Seattle-Tacoma-Bellevue, WA$146k

Boston-Cambridge-Newton, MA-NH$139k

Lexington Park, MD$136k

Trenton-Princeton, NJ$135k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $107k; 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 P4 (P4 — Senior Professional) from the levels around it — this level only. Every word is real canon for this profile.

Scope: A system or set of related features
Autonomy: Self-directed; reviewed at critical decision points
Complexity: Complex, ambiguous problems; devises new approaches
Impact: Multi-team / function outcomes
Decision rights: Owns technical decisions for a system; influences adjacent design
Leadership: Technical lead for focused efforts; mentors several

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

Promotion

The next rung from P4 is P5.

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 Operating Officer	jf_assets::E4	$389,207†	confident0.06
Senior Manager, Asset Integrity & Performance	jf_assets::M4	$167,689†	confident0.06
Advanced Asset Integrity Technician	jf_assets::S4	$56,408†	confident0.06
Asset Integrity Engineer	jf_assets::P3	$82,468†	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 17-2199

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

P4

jf_assets::P4

Senior Asset Integrity Engineer

Assets

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: P
Superfunction: industrial_energy_operations
Function: energy_utilities_business_operations
Family: assets
Universal level: 4 / 8

Content

content@2

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").

Control Operations · P4review0.17

Emissions · P4review0.17

Energy Grid · P4review0.17

Energy Operations · P4review0.17

Land / Property · P4review0.17

Mining Operations · P4review0.17

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 17-2199	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)