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Key statistics

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

2 of 8

Track

Executive

Family rungs priced

E1 · E2 · E3 · E4

11-0000

industrial_energy_operations

Coordinates

3 / 4 spaces

pay@2 · 2026-07

What this role is

Senior executive leading the organization's battery system deployment and biomass materials research programs across all renewable energy plant sites. At the Senior Director (Executive) (E2) level, the role owns multiple functions or a major area, multi-function strategy and risk, and drives major-area outcomes. Leads function leaders.

What this level does

Leads O&M across a multi-site renewable portfolio through subordinate plant managers and operations directors, standardizing control-room, SCADA-monitoring and maintenance practices across facilities of different technologies (solar, wind, BESS, bioenergy)
Sets fleet-level availability, capacity-factor and safety targets and owns the consolidated O&M budget, allocating maintenance resources and subcontractor spend across sites to maximize operating returns for asset owners
Negotiates critical operating and compliance matters with utilities, regulatory agencies and major asset-owner counterparties where reliability failures carry material consequence for the operating business
Establishes fleet-wide standards for NERC CIP / cybersecurity, communications architecture and emerging control technology, resolving cross-site operational problems that a single plant manager cannot
Develops the operations leadership bench (plant managers, operations coordinators) and builds the escalation and corrective-action framework spanning the portfolio

Knowledge applied: Applies fleet-level operations expertise across multiple technologies and sites — standardizing SCADA/control practice, maintenance regimes and cybersecurity posture — to run a multi-site portfolio rather than a single facility.
Complexity & problem solving: Solves cross-site, cross-technology operating problems and resource trade-offs with consequences that reach the operating business's viability (availability shortfalls, budget overruns, systemic safety exposure), not just one plant's performance.
Collaboration & interaction: Negotiates critical operating and compliance matters with utilities, regulators and major asset-owner counterparties; leads through subordinate plant managers and operations directors.
Typical experience: 15+ yrs including strategic leadership of a multi-site operating unit or function within renewables.

Skills at this level

Control systems and monitoring technology: — Monitors plant systems through control-room interfaces, SCADA systems and field inspections, using digital control interfaces to track generation-asset operation.
Analytical and data interpretation: — Interprets and analyzes data from multiple plant sources — energy usage, production rates and equipment performance — to ensure the facility operates efficiently and safely.
Mechanical and electrical competence: — Works directly with plant hardware, troubleshooting and repairing mechanical and electrical equipment on generation and auxiliary systems.
Regulatory and safety compliance: — Ensures operations meet safety and regulatory standards across sites and interfaces with local utilities and regulatory agencies on compliance matters.
Commercial ownership of operations: — Manages the commercial side of running assets — maximizing capacity factors and managing O&M budgets — to demonstrate operating returns for the sites under control.
SCADA / PLC / RTU / HMI: — Applies knowledge of SCADA controls, PLC/RTU programming and HMI configuration used at utility-scale solar and BESS sites for plant monitoring and control.
NERC CIP / cybersecurity: — Maintains familiarity with NERC CIP requirements, plant cybersecurity and renewable-plant communications architecture as applied to operating generation assets.
Multi-site O&M portfolio leadership: — Standardizes control-room, maintenance and safety practice across facilities of different technologies and owns consolidated availability, capacity-factor and O&M budget targets for a renewable fleet.
Regulatory and utility negotiation: — Negotiates critical operating, reliability and compliance matters with grid operators, regulatory agencies and asset-owner counterparties on behalf of the operating business.
Operating strategy and fleet reliability planning: — Sets long-term reliability programs, technology-refresh and cost-trajectory strategy for a regional or divisional renewable fleet, balancing reliability investment against operating cost and asset life.

Model-authored from 23 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 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 E2 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$555k

San Francisco-Oakland-Fremont, CA$498k

Washington-Arlington-Alexandria, DC-VA-MD-WV$460k

Boulder, CO$454k

Seattle-Tacoma-Bellevue, WA$454k

Boston-Cambridge-Newton, MA-NH$435k

Lexington Park, MD$424k

Trenton-Princeton, NJ$421k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $333k; 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 E2 (E2 — Senior Director (Executive)) from the levels around it — this level only. Every word is real canon for this profile.

Scope: Multiple functions or a major area
Autonomy: Owns area-level strategy
Complexity: Multi-function strategy and risk
Impact: Major-area outcomes
Decision rights: Owns strategy and resourcing across functions
Leadership: Leads function leaders

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

Promotion

The next rung from E2 is E3.

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 Supervisor, Renewables Plant Battery Systems	jf_renewables_plant::M2	$110,455†	confident0.06
Renewable Energy Plant Technician	jf_renewables_plant::P2	$72,357†	confident0.06
Renewables Plant Technician	jf_renewables_plant::S2	$42,923†	confident0.06
VP, Renewables Plant Operations	jf_renewables_plant::E1	$169,459†	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 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

E2

jf_renewables_plant::E2

SVP, Renewable Energy Plant Operations

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: E
Superfunction: industrial_energy_operations
Function: plant_operations
Family: renewables_plant
Universal level: 2 / 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 · E2review0.17

Nuclear Power Plant · E2review0.17

Plant Maintenance (Energy/Mining) · E2review0.17

Plant Operations (Energy/Mining) · E2review0.17

Power Plant Management · E2review0.17

Refinery · E2review0.17

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 of2026-07-30Editioncanon-v2@2.1.0-completeSourcecanon-v2 cell + salary-benchmark (model)