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Key statistics

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

6 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

A senior individual-contributor expert who provides advanced technical direction across major energy production and operations activities. At the Principal Professional (P6) level, the role owns organization-wide architecture and the hardest problems, strategic, open-ended problems shaping the technical future, and drives organization-wide. Recognized authority; multiplies many teams.

What this level does

Direct strategic business plan processes and drive operational excellence across the operating companies to maximize customer satisfaction, workforce effectiveness, and operational performance
Oversee relationships with all city, state, and federal regulatory authorities governing energy operations, maintaining trusted relationships and negotiating key municipal and state policies and agreements
Serve as lead manager coordinating the organization's financial and budget activities to fund energy operations, maximize investments, and increase efficiency
Support development and implementation of short- and long-term business plans ensuring achievement of jurisdictional and corporate business objectives, defining the standards others in the field operate by

Knowledge applied: Provides field-shaping expertise across the operating companies' energy operations, defining strategy and operating standards enterprise-wide.
Complexity & problem solving: Solves visionary, organization-wide problems spanning operations, finance, and regulatory strategy with full independence.
Collaboration & interaction: Influences industry and company direction; negotiates with municipal, state, and federal regulators; recognized thought leader.
Typical experience: 15+ years; principal energy operations expert, often with PhD or industry leadership.

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 P6 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$306k

San Francisco-Oakland-Fremont, CA$274k

Washington-Arlington-Alexandria, DC-VA-MD-WV$254k

Boulder, CO$250k

Seattle-Tacoma-Bellevue, WA$250k

Boston-Cambridge-Newton, MA-NH$240k

Lexington Park, MD$234k

Trenton-Princeton, NJ$232k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $184k; 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 P6 (P6 — Principal Professional) from the levels around it — this level only. Every word is real canon for this profile.

Scope: Organization-wide architecture and the hardest problems
Autonomy: Defines direction; minimal oversight
Complexity: Strategic, open-ended problems shaping the technical future
Impact: Organization-wide
Decision rights: Sets technical strategy for a major area
Leadership: Recognized authority; multiplies many teams

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

Promotion

P6is the top of this family's ladder — progression from here is a lattice move (see adjacent roles below), not a rung.

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
Senior Director, Energy Operations	jf_energy_operations::M6	$241,631†	confident0.06
Energy Operations Expert	jf_energy_operations::P5	$138,423†	confident0.06
President, Energy Operations	jf_energy_operations::E5	$340,737†	confident0.12
Director of Energy Operations	jf_energy_operations::M5	$188,371†	confident0.12

†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

P6

jf_energy_operations::P6

Principal 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: 6 / 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 · P6review0.17

Control Operations · P6review0.17

Emissions · P6review0.17

Energy Grid · P6review0.17

Land / Property · P6review0.17

Mining Operations · P6review0.17

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)