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Key statistics

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

4 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

Top executive accountable for all refinery and refining-related processing operations across the organization. At the Senior Vice President (E4) level, the role owns multiple divisions, enterprise strategy and external stakeholders, and drives cross-division / enterprise. Leads division leaders.

What this level does

Oversee refining operations as part of a large multi-area corporate portfolio, with high autonomy and corporate-level impact across multiple strategic areas
Participate in enterprise strategic development — setting the direction for the operating footprint's role in the company's long-term energy-transition and margin strategy
Bear ultimate accountability for the corporation's process-safety, environmental and operating-continuity posture across the refining base, engaging the board on major-hazard risk
Engage regularly with the CEO, board, regulators and industry leaders on the operation's performance, safety record and strategic positioning
Set the cross-business operating governance and leadership-bench strategy that sustains safe, reliable refining performance at scale

Knowledge applied: Applies broad corporate-strategy judgment across a large refining portfolio and multiple strategic areas, with high autonomy and corporate impact — shares with E3 the enterprise-risk mandate but extends it across the full operating base and its long-term direction.
Complexity & problem solving: Participates in enterprise strategic development, setting the operating footprint's role in the company's future; the distinguishing move from E3 is portfolio breadth and the corporate risk personally borne, not a higher category of problem.
Collaboration & interaction: Engages the board, CEO, regulators and industry leaders regularly; drives cross-business operating governance and leadership-bench strategy.
Typical experience: 20+ years of extensive corporate strategy and executive leadership across refining operations.

Skills at this level

Process-Safety Leadership: — Sets and enforces safe-work practices, policies and processes as the operation's top priority across refinery units, ensuring emergency response and major-hazard controls protect workers and equipment at scale.
Refinery Process Operations Command: — Directs the safe, in-spec running of distillation, cracking, reforming, blending and treating units together with tank-farm and movements systems, holding units to process schedules for temperature, pressure and flow.
Turnaround and Transient-State Governance: — Owns the strategy and resourcing for start-ups, shutdowns and turnarounds so planned and abnormal transient states are executed safely rather than treated as occasional exposure.
Abnormal Situation and Emergency Response Leadership: — Establishes alarm-management and abnormal-situation-handling discipline and leads decisive response to cascading operating upsets, escalating and coordinating across units under time pressure.
DCS/PLC-Controlled Operations Oversight: — Governs how process units are run through DCS and PLC control systems, ensuring console and field operators safely and efficiently regulate process variables and integrate their work.
Multi-Site Operations Integration: — Integrates operating plans, standards and turnaround portfolios across multiple refinery sites, balancing throughput, reliability and emissions trade-offs across the network.
Environmental and Regulatory Compliance Stewardship: — Ensures refinery operations meet industry standards and environmental regulations, owning the operation's regulatory standing and managing exposure to compliance and permit risk.
Refining Portfolio and Capital Strategy: — Shapes configuration, capacity and cost/capital allocation across a refining asset base to sustain competitive, safe operating performance over the long term.
Board and Regulator Engagement: — Represents refining operations to the board, CEO, regulators, communities and industry safety bodies, communicating safety record, performance and strategic positioning.
Operations Leadership Development: — Builds the bench of operations managers, superintendents and senior operators — including unit authority, permit-issuer and trainer qualifications — that sustains safe operating discipline.

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

Refinery — 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 E4 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$669k

San Francisco-Oakland-Fremont, CA$600k

Washington-Arlington-Alexandria, DC-VA-MD-WV$555k

Boulder, CO$548k

Seattle-Tacoma-Bellevue, WA$548k

Boston-Cambridge-Newton, MA-NH$524k

Lexington Park, MD$511k

Trenton-Princeton, NJ$508k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $402k; 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 E4 (E4 — Senior Vice President) from the levels around it — this level only. Every word is real canon for this profile.

Scope: Multiple divisions
Autonomy: Owns cross-division strategy
Complexity: Enterprise strategy and external stakeholders
Impact: Cross-division / enterprise
Decision rights: Owns strategy and investment across divisions
Leadership: Leads division leaders

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

Promotion

E4is 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 Refinery Manager	jf_refinery::M4	$167,689†	confident0.06
Senior Refinery Process Engineer	jf_refinery::P4	$109,466†	confident0.06
Advanced Refinery Operator	jf_refinery::S4	$56,408†	confident0.06
Chief Refining Officer	jf_refinery::E3	$352,063†	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

E4

jf_refinery::E4

Chief Refining Officer

Refinery

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: refinery
Universal level: 4 / 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 · E4review0.17

Nuclear Power Plant · E4review0.17

Plant Maintenance (Energy/Mining) · E4review0.17

Plant Operations (Energy/Mining) · E4review0.17

Power Plant Management · E4review0.17

Renewables Plant · E4review0.17

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)