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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

51-0000

industrial_energy_operations

Coordinates

3 / 4 spaces

pay@2 · 2026-07

What this role is

Expert-level individual contributor who leads the design, testing, and installation of battery storage systems at renewable energy plants and guides advanced biomass materials research. 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

Act independently on strategic and unique fleet-level operations assignments spanning wind, solar, hydro, and bioenergy assets across a renewable portfolio
Resolve ill-defined operational problems — chronic underperformance, novel resource-integration challenges, evolving grid-interconnection requirements — where standard playbooks do not exist
Define fleet-wide standards for SCADA-based remote control, PPC integration, cybersecurity, and net-capacity-factor optimization, and demonstrate consistent measurable improvement against those standards over time
Build influential networks with dispatch authorities, technology vendors, and regulators, serving as an external spokesperson on renewable operations practice
Supervise senior operators and specialists on special assignments and mentor them in the diagnostic mental models used to isolate complex generation faults

Knowledge applied: Applies expert operations knowledge to strategic, portfolio-scale assignments, setting fleet-wide standards for remote control, cybersecurity, and performance optimization.
Complexity & problem solving: Works at the boundary of established practice on intangible, ill-defined problems, using performance feedback to refine methods and achieve consistent measurable improvement.
Collaboration & interaction: Builds influential networks with dispatch authorities, vendors, and regulators; acts as external spokesperson and mentors senior specialists.
Typical experience: 12+ years with extensive renewable operations expertise across multiple technologies.

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 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$238k

San Francisco-Oakland-Fremont, CA$213k

Washington-Arlington-Alexandria, DC-VA-MD-WV$197k

Boulder, CO$195k

Seattle-Tacoma-Bellevue, WA$195k

Boston-Cambridge-Newton, MA-NH$186k

Lexington Park, MD$182k

Trenton-Princeton, NJ$181k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $143k; 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
Director, Renewable Plant Operations	jf_renewables_plant::M5	$188,371†	confident0.06
Lead Battery Systems Specialist	jf_renewables_plant::S5	$60,631†	confident0.06
Senior Battery Systems Engineer	jf_renewables_plant::P4	$109,466†	confident0.06
Principal Renewables Plant Engineer	jf_renewables_plant::P6	$188,314†	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 51-8013

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

P5

jf_renewables_plant::P5

Expert Renewables Plant Battery Systems 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: 5 / 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 · P5review0.17

Nuclear Power Plant · P5review0.17

Plant Maintenance (Energy/Mining) · P5review0.17

Plant Operations (Energy/Mining) · P5review0.17

Power Plant Management · P5review0.17

Refinery · 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 51-8013	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)