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Key statistics

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

5 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

Senior individual contributor who drives complex, high-impact grid balancing, demand forecasting, and rate-structure analysis with broad autonomy. At the Expert Professional (P5) level, the role owns multiple systems or a technical domain, establishes the approach, and drives org / multi-team outcomes. Leads cross-team technical initiatives.

What this level does

Develops long-term capital improvement plans and spearheads grid innovation initiatives such as smart-grid deployment and renewable integration, acting independently on broad, strategically significant assignments
Develops and implements grid management strategies to meet future energy demands rather than simply maintaining present-day reliability
Represents the organization in regulatory and political forums on grid operations, interconnection, and compliance matters as an external spokesperson
Applies expert command of sustainable energy systems, high-voltage engineering, and AI in power grids to resolve intangible, strategic operating problems with high independence
Builds influential internal and industry networks and may supervise others on special grid-integration or compliance assignments

Knowledge applied: Brings expert mastery of sustainable energy systems, high-voltage engineering, and AI in power grids to strategic, company-level objectives; designs improved methods beyond established practice.
Complexity & problem solving: Resolves intangible, strategic grid problems with high independence, working at the boundary of established approaches and refining them through feedback.
Collaboration & interaction: Builds influential networks; acts as external spokesperson in regulatory and political forums; may supervise others on special assignments.
Typical experience: 12+ years with extensive grid-operations and regulatory expertise.

Skills at this level

Sustainable energy systems, high-voltage engineering, and AI in power grids: — Understands the intricacies of sustainable energy systems, high-voltage engineering, and the application of artificial intelligence within power grids, driven by decentralized generation reshaping how the grid is operated and managed.
Grid and utility domain expertise: — Applies deep understanding of electric power utility operations — transmission and distribution, grid operations, and grid design — to interpret operating conditions and reliability constraints.
Measurement, verification, and data modeling: — Works with large data sets to develop and execute long-term Measurement and Verification (M&V) plans that evaluate energy performance, quantify energy savings, and track project performance over time.
Real-time balancing authority operations: — Operates the company's balancing authorities and generation projects in real time, scheduling third-party energy resources while sustaining grid reliability moment to moment.
NERC and WECC compliance: — Ensures continuous compliance of grid operations with NERC and Western Electricity Coordinating Council standards, monitoring operating decisions against regulatory reliability requirements.
Energy market and demand response optimization: — Optimizes participation in energy markets, demand response programs, and grid services, evaluating power procurement structures to maximize value and reliability.
Interconnection and utility coordination: — Develops interconnection strategies and coordinates with utilities to connect generation and resources to the grid in line with operating and procurement needs.
Energy consumption analysis: — Assesses energy consumption patterns across a portfolio of properties by collecting and analyzing utility bills and meter readings to surface trends and anomalies.
Energy modeling and forecasting: — Uses advanced analytical tools and software to model energy consumption and forecast future demand, supporting operating and procurement decisions.
Grid management strategy: — Develops and implements grid management strategies and long-term capital improvement plans that meet future energy demand rather than only maintaining present-day service.
Utilities capital and budget planning: — Develops and owns the annual utilities operations budget and multi-year capital plan, forecasting energy costs, projects, and lifecycle replacement to optimize total cost of ownership.
NOC monitoring and reporting: — Supports real-time grid functions by monitoring and reporting from the Network Operations Center, tracking operating conditions and escalating deviations.
Regulatory and stakeholder engagement: — Represents the organization in regulatory and political forums and builds relationships with business leaders and stakeholders to align grid operations with strategic direction.

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 Grid — 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 P5 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$225k

San Francisco-Oakland-Fremont, CA$202k

Washington-Arlington-Alexandria, DC-VA-MD-WV$187k

Boulder, CO$184k

Seattle-Tacoma-Bellevue, WA$184k

Boston-Cambridge-Newton, MA-NH$176k

Lexington Park, MD$172k

Trenton-Princeton, NJ$171k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $135k; 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 P5 (P5 — Expert Professional) from the levels around it — this level only. Every word is real canon for this profile.

Scope: Multiple systems or a technical domain
Autonomy: Sets direction within the domain
Complexity: Novel, high-ambiguity problems; establishes the approach
Impact: Org / multi-team outcomes
Decision rights: Authority over a technical domain
Leadership: Leads cross-team technical initiatives

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

Promotion

The next rung from P5 is P6.

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 Grid Officer	jf_energy_grid::E5	$340,737†	confident0.06
Director of Grid Operations	jf_energy_grid::M5	$188,371†	confident0.06
Lead Grid Operations Specialist	jf_energy_grid::S5	$60,631†	confident0.06
Senior Grid Operations Analyst	jf_energy_grid::P4	$109,466†	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

P5

jf_energy_grid::P5

Staff Grid Operations Engineer

Energy Grid

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: energy_grid
Universal level: 5 / 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").

Assets · P5review0.17

Control Operations · P5review0.17

Emissions · P5review0.17

Energy Operations · P5review0.17

Land / Property · P5review0.17

Mining Operations · P5review0.17

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)