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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

51-0000

industrial_energy_operations

Coordinates

3 / 4 spaces

pay@2 · 2026-07

What this role is

Senior individual contributor providing expert technical leadership on battery system integration, testing, and biomass materials research at renewable energy facilities. 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

Set the operating model for a large renewable generation portfolio, defining how remote monitoring, automation, and net-capacity-factor optimization are executed across multiple sites and technologies
Design significantly improved operating methods and control architectures — rather than applying existing ones — to extend achievable renewable plant performance and availability
Exercise full independence over operational direction, arbitrating trade-offs between generation targets, safety, cybersecurity, and grid-interconnection obligations at portfolio scale
Provide high-level mentorship that develops principal-level operators and diffuses advanced diagnostic and control practices across the operations organization
Represent renewable operations practice with vendors, dispatch authorities, and regulators, shaping standards and technology roadmaps that the wider organization adopts

Knowledge applied: Applies principal-level mastery to design new operating methods and control architectures across a renewable portfolio, refining and surpassing borrowed methods.
Complexity & problem solving: Diagnoses systemic barriers to portfolio performance and devises new techniques when established approaches stop yielding benefit.
Collaboration & interaction: Engages leading practitioners, vendors, and regulators; shapes standards and technology roadmaps the wider organization adopts.
Typical experience: 15+ years; principal operations expert, often with engineering graduate education and portfolio-scale leadership.

Skills at this level

SCADA-based remote monitoring: — Uses Supervisory Control and Data Acquisition systems, PLCs, and data loggers to remotely monitor wind, solar, hydro, and bioenergy assets, detect faults, and control generation from a control room.
Net capacity factor (NCF) calculation: — Calculates net capacity factors for renewable technologies and uses the results to optimize project technology, plant layout, and dispatch decisions.
Power Plant Controller (PPC) integration: — Configures and troubleshoots Power Plant Controllers to regulate active/reactive power and meet grid-interconnection setpoints across renewable generation units.
Cybersecurity, communication protocols and networking: — Secures and troubleshoots the communication protocols, networking, and schematic diagrams underpinning renewable control systems to protect and sustain SCADA/PPC monitoring.
Mechanical skills: — Uses tools and works with generation machinery, applying preventive maintenance and electricity fundamentals such as voltage and electricity flow.
Bioenergy feedstock and process handling: — Controls chemical reactions, processes intermediate products, and moves feedstock through a bioenergy plant while keeping process conditions within specified ranges.
Detail orientation / vigilant monitoring: — Carefully watches controls and machinery, reading meters and logging values to confirm equipment operates within parameters and to catch out-of-range conditions early.
Manual dexterity: — Uses precise, repeated motions to operate and calibrate equipment and manipulate control-room components.
Emergency and crisis-response coordination: — Coordinates the response to power outages and equipment failures to preserve life and equipment, and plans and runs drills to ensure crisis-response readiness.
Generation performance optimization: — Analyzes curtailment, availability, and NCF across variable resource conditions and recommends operating adjustments to close generation performance gaps.

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

Renewables Plant — 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 51-0000 · national

Employment growth 2019–2024, BLS OEWSobserved

-8.6%Power Plant Operators · United States

33,620 → 30,720 jobs

2,500 openings / year, split into:

replacement / exits 2,853

Growth — new jobs (-14%)Exits — backfill (100%)

This occupation is projected to contract — every opening is replacing someone leaving, not net new demand.

Projected growth 2024–34 contracting: -11.2%
Growth share of hiring: -14%
Exit / retention pressure high: 100%
Openings / year: 2,500

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$324k

San Francisco-Oakland-Fremont, CA$290k

Washington-Arlington-Alexandria, DC-VA-MD-WV$269k

Boulder, CO$265k

Seattle-Tacoma-Bellevue, WA$265k

Boston-Cambridge-Newton, MA-NH$254k

Lexington Park, MD$247k

Trenton-Princeton, NJ$246k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $194k; 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, Renewables Plant Operations	jf_renewables_plant::M6	$241,631†	confident0.06
Expert Renewables Plant Battery Systems Engineer	jf_renewables_plant::P5	$138,423†	confident0.06
Director, Renewable Plant Operations	jf_renewables_plant::M5	$188,371†	confident0.12
Lead Battery Systems Specialist	jf_renewables_plant::S5	$60,631†	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 51-8013

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_renewables_plant::P6

Principal Renewables Plant Engineer

Renewables Plant

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: plant_operations
Family: renewables_plant
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").

Mining Processing Plant · P6review0.17

Nuclear Power Plant · P6review0.17

Plant Maintenance (Energy/Mining) · P6review0.17

Plant Operations (Energy/Mining) · P6review0.17

Power Plant Management · P6review0.17

Refinery · 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 51-8013	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)