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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

11-0000

industrial_energy_operations

Coordinates

3 / 4 spaces

pay@2 · 2026-07

What this role is

Experienced individual contributor who provides technical and operational expertise across major energy business lines such as exploration, production, gas, power, or offshore assets. 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

Oversee day-to-day operations of energy production and distribution systems for a facility or plant, coordinating personnel, equipment, and resources to meet energy goals safely and cost-effectively
Lead in-depth analysis of complex operational variables (load profiles, weather normalization, equipment performance) to select methods and drive functional-level efficiency improvements
Coordinate across engineering, operations, and finance groups to resolve operational performance gaps and influence procurement and retrofit decisions
May supervise or lead energy analysts and audit teams, setting methods and reviewing their technical work

Knowledge applied: Applies advanced operational knowledge to run production/distribution systems and complex, functional-impact energy issues.
Complexity & problem solving: Performs in-depth analysis of complex operational variables, selects methods, and resolves performance gaps.
Collaboration & interaction: Coordinates across engineering, operations, and finance groups; influences procurement and retrofit decisions; may supervise analysts.
Typical experience: 8+ years, often with graduate education.

Skills at this level

Energy Consumption Data Management: — Collects, enters, and maintains the accuracy of energy consumption records — utility bills, meter readings, square footage, equipment inventories, and weather normalization inputs — that underpin all downstream energy analysis for a property portfolio.
Energy Consumption Trend Analysis: — Analyzes properties within a portfolio for trends and anomalies in energy consumption, distinguishing genuine efficiency signals from data noise and seasonal/weather-driven variation.
Energy Auditing: — Conducts on-site and data-driven audits of facilities to assess how energy is used, quantifies waste, and documents specific areas where consumption or cost can be reduced.
Energy Management Solution Recommendation: — Recommends and prioritizes efficient energy management measures for buildings and systems, tying each proposal to measurable savings against a consumption baseline.
Energy Market Research: — Researches and analyzes energy markets, rates, and supply conditions to support procurement and strategic operational decision-making.
Energy Production & Distribution Operations: — Oversees day-to-day running of energy production and distribution systems, coordinating personnel, equipment, and resources so energy goals are met safely, efficiently, and cost-effectively.
Energy Efficiency Design Collaboration: — Works with engineers and architects to embed energy-efficient design principles into retrofits and new builds, translating operational data into design requirements.
Long-Term Energy Planning & Procurement: — Develops multi-year energy planning and procurement strategies that align energy supply, cost, and reliability with broader business objectives.
SCADA/EMS Technical Support: — Provides technical support for Energy Management Systems (EMS) and Supervisory Control & Data Acquisition (SCADA) systems and related infrastructure used in transmission and operations centers to monitor and control energy assets.
Energy Regulatory Relationship Management: — Oversees relationships with city, state, and federal regulatory authorities governing energy operations, maintaining trust and negotiating key municipal and state policies and agreements.
Energy Operations Financial Stewardship: — Coordinates the organization's budget and financial activities to fund energy operations, maximize investment returns, and increase operating efficiency.
Operational Excellence Leadership: — Directs strategic business plan processes across operating companies to maximize customer satisfaction, workforce effectiveness, and operational performance in energy operations.
Regulatory & Standards Awareness: — Stays current on evolving industry standards, regulations, and best practices in energy management and updates operating procedures accordingly.

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

Energy 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 11-0000 · national

Employment growth 2019–2024, BLS OEWSobserved

+26.2%Industrial Production Managers · United States

185,790 → 234,380 jobs

17,100 openings / year, split into:

replacement / exits 16,640

Growth — new jobs (3%)Exits — backfill (97%)

3% of hiring here is genuine expansion; the rest backfills people who move on.

Projected growth 2024–34 expanding: +1.9%
Growth share of hiring: 3%
Exit / retention pressure high: 97%
Openings / year: 17,100

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 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
President & Chief Executive Officer, Energy Operations	jf_energy_operations::E4	$389,207†	confident0.06
Senior Manager, Energy Operations	jf_energy_operations::M4	$167,689†	confident0.06
Advanced Energy Operations Analyst	jf_energy_operations::S4	$56,408†	confident0.06
Energy Operations Analyst	jf_energy_operations::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 11-3051

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_energy_operations::P4

Senior Energy Operations Engineer

Energy 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: energy_utilities_business_operations
Family: energy_operations
Universal level: 4 / 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").

Assets · P4review0.17

Control Operations · P4review0.17

Emissions · P4review0.17

Energy Grid · 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 11-3051	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)