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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

Expert-level individual contributor who oversees complex control room and remote monitoring operations across energy or mining sites. 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

Maintain continuous situational awareness through forward-looking contingency analysis of the electrical transmission system, anticipating and pre-positioning for credible failure scenarios
Configure and support advanced EMS applications such as State Estimator and network contingency analysis, defining the modeling assumptions and validation approach used across the control center
Set control-operations strategy for a region or system — reliability targets, redundancy philosophy, and restoration standards — contributing to broader company reliability objectives
Act as the recognized authority during the most severe or unprecedented system events, making high-independence real-time decisions where no standard procedure exists
Serve as spokesperson to regulators, auditors, and industry bodies on NERC/IEEE compliance and represent control operations in cross-functional reliability planning

Knowledge applied: Brings expert command of transmission-system contingency analysis and advanced EMS applications (State Estimator); works at the boundary of current practice, using feedback to sharpen decision models.
Complexity & problem solving: Resolves strategic, intangible reliability problems with high independence, making decisions during severe or unprecedented events where no procedure exists.
Collaboration & interaction: Builds influential networks; acts as external spokesperson to regulators and industry bodies.
Typical experience: 12+ years with extensive control-operations and reliability expertise.

Skills at this level

SCADA operation: — Uses Supervisory Control and Data Acquisition systems to monitor and control utility networks in real time, acting on telemetry to adjust setpoints, switch equipment, and maintain system state.
EMS advanced application configuration: — Configures and supports advanced Energy Management System tools such as State Estimator, defining modeling assumptions and running network contingency analysis on the transmission system.
ADMS/OMS outage coordination: — Uses Advanced Distribution Management and Outage Management Systems to plan, track, and restore utility disruptions, sequencing switching and crew dispatch during outage events.
Control-panel and device operation: — Operates utility control panels, switches, valves, and control devices to deliver water, electricity, gas, and wastewater services safely within operating limits.
Load balancing and plant optimization: — Tunes control strategies using BAS/SCADA and energy-management data to balance loads, minimize fuel usage, and maintain redundancy across utility systems.
Contingency analysis: — Performs forward-looking evaluation of electrical transmission operation to anticipate credible failure scenarios and pre-position for reliable system response.
Outage and emergency response planning: — Develops and exercises emergency plans, call trees, and restoration procedures, then directs crew dispatch and switching during real-time disruptions.
Root-cause analysis of system failures: — Investigates recurring utility-system alarm and equipment failures to identify underlying causes and drive corrective setpoint or procedural changes to closure.
NERC/IEEE compliance knowledge: — Applies reliability standards such as NERC and IEEE to control-room operations, ensuring switching, documentation, and restoration practices meet regulatory requirements.
Crew dispatch and coordination: — Directs field crews to work orders and disruptions via 2-way radio console and work-management systems, coordinating with fellow operators and law enforcement to ensure safety.
Telemetry interpretation and situational awareness: — Reads data from monitoring devices to maintain continuous awareness of system state, distinguishing routine variation from conditions requiring corrective action.
Operator training and mentorship: — Guides operators on SCADA operation, alarm handling, and restoration procedures, building shift-team capability and readiness for advanced contingency handling.

Model-authored from 18 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

Control 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?

Employment growth 2019–2024, BLS OEWSobserved

+23.2%Plant and System Operators, All Other · United States

12,950 → 15,950 jobs

1,600 openings / year, split into:

replacement / exits 1,574

Growth — new jobs (2%)Exits — backfill (98%)

2% of hiring here is genuine expansion; the rest backfills people who move on.

Projected growth 2024–34 expanding: +1.6%
Growth share of hiring: 2%
Exit / retention pressure high: 98%
Openings / year: 1,600

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 Control Operations Officer	jf_control_operations::E5	$340,737†	confident0.06
Director of Control Operations	jf_control_operations::M5	$188,371†	confident0.06
Lead Control Operations Specialist	jf_control_operations::S5	$60,631†	confident0.06
Senior Control Room Operator	jf_control_operations::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 51-8099

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_control_operations::P5

Staff Control Operations Specialist

Control Operations

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: control_operations
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

Emissions · P5review0.17

Energy Grid · 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 51-8099	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)