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Key statistics

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

3 of 8

Track

Executive

Family rungs priced

E1 · E2 · E3 · E4 · E5

11-0000

industrial_energy_operations

Coordinates

3 / 4 spaces

pay@2 · 2026-07

What this role is

The top executive accountable for the company's entire mining operations business line. At the Vice President (E3) level, the role owns a division, market and competitive strategy, and drives division-wide. Leads a division's leadership team.

What this level does

Lead a large mining division or regional operating business through senior executives, shaping the corporate operations strategy for how the region extracts, hauls and delivers ore at scale
Own enterprise-level operational risk — timeline, cost, safety and environmental footprint across multiple large mines — where strategic decisions carry critical strategic impact for the group
Set the ESG operating strategy for the region and manage reputational risk at the executive level alongside operational risk, embedding it into how production is planned and executed
Represent the operating business externally — regulators, statutory bodies, major customers and partners — and participate in shaping group strategy
Direct multi-site optimization of the wider operating model and cost base, tying operational excellence and short-interval-control discipline to group commercial outcomes

Knowledge applied: Shapes corporate operations strategy for a large division or region, integrating operational, commercial and ESG knowledge across multiple mines.
Complexity & problem solving: Owns enterprise-level operational and reputational risk across timeline, cost, safety and environmental footprint with critical strategic impact.
Collaboration & interaction: Represents the operating business externally to regulators, statutory bodies and major customers and participates in group strategy; leads through senior executives.
Typical experience: 15–20+ yrs with demonstrated enterprise-impact operating leadership.

Skills at this level

Mining engineering knowledge: — Understands underground and surface mining methods, development sequencing and operational constraints, and applies them to set feasible production strategy; typically underpinned by a mine engineering degree and statutory competency.
Management Operating System (MOS) discipline: — Establishes and runs structured operating rhythms — daily production meetings and short interval control — to drive accountability and consistent achievement of production, safety and cost objectives across mining teams.
Executive people leadership: — Leads other leaders — Mining Superintendents, multidisciplinary teams and contractor crews — through frontline operational leaders, translating strategic objectives into disciplined day-to-day execution.
Commercial and margin thinking: — Interprets operational data to improve commercial outcomes and understands how production and digital systems affect margin and risk, managing the wider operating model and cost base.
ESG and reputational risk management: — Aligns mining operations with ESG strategy and manages reputational risk alongside operational risk at the executive level, protecting the license to operate.
Production and cost planning: — Establishes production schedules and operational priorities across extraction, hauling and stockpile management, and owns the operating budget to deliver production targets at controlled unit cost.
HSE and regulatory compliance leadership: — Embeds company HSE policies and procedures and ensures compliance with mining safety regulation across operations, safeguarding the safety and health of mine workers.
Multi-asset operational risk stewardship: — Manages multi-million-dollar assets under high-stakes conditions where strategic decisions impact timeline, cost, safety and environmental footprint across one or many mines.

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

Mining 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?

SOC 11-0000 · national

Employment growth 2019–2024, BLS OEWSobserved

+8.3%Architectural and Engineering Managers · United States

194,250 → 210,340 jobs

14,500 openings / year, split into:

replacement / exits 13,693

Growth — new jobs (6%)Exits — backfill (94%)

6% of hiring here is genuine expansion; the rest backfills people who move on.

Projected growth 2024–34 expanding: +3.8%
Growth share of hiring: 6%
Exit / retention pressure high: 94%
Openings / year: 14,500

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 E3 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$572k

San Francisco-Oakland-Fremont, CA$513k

Washington-Arlington-Alexandria, DC-VA-MD-WV$475k

Boulder, CO$468k

Seattle-Tacoma-Bellevue, WA$468k

Boston-Cambridge-Newton, MA-NH$448k

Lexington Park, MD$437k

Trenton-Princeton, NJ$434k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $343k; 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 E3 (E3 — Vice President) from the levels around it — this level only. Every word is real canon for this profile.

Scope: A division
Autonomy: Accountable for division strategy and P&L
Complexity: Market and competitive strategy
Impact: Division-wide
Decision rights: Owns division strategy, budget, and org
Leadership: Leads a division's leadership team

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

Promotion

The next rung from E3 is E4.

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
Mining Operations Manager	jf_mining_operations::M3	$120,351†	confident0.06
Mining Operations Analyst	jf_mining_operations::P3	$82,468†	confident0.06
Senior Mining Operations Coordinator	jf_mining_operations::S3	$49,566†	confident0.06
SVP, Mining Operations	jf_mining_operations::E2	$322,728†	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 11-9041

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

E3

jf_mining_operations::E3

Chief Mining Officer

Mining Operations

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: energy_utilities_business_operations
Family: mining_operations
Universal level: 3 / 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").

Assets · E3review0.17

Control Operations · E3review0.17

Emissions · E3review0.17

Energy Grid · E3review0.17

Energy Operations · E3review0.17

Land / Property · E3review0.17

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 11-9041	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)