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Key statistics

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

1 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

Executive leader responsible for enterprise-wide mine planning and ore extraction strategy across all company operations. At the Director (Executive) (E1) level, the role owns a significant function with strategic authority, strategic and cross-functional, and drives function-wide enterprise impact. Executive leadership of a function.

What this level does

Lead the complete mine engineering function through Directors/Principal engineers, owning functional strategy for mine planning, development sequencing, drilling and blasting design, pit optimization, and ore blending across the site or sub-function.
Set the technical standards and approval gates for pre-feasibility and feasibility mine technical reports and their economic analysis, ensuring extraction plans are both economically viable and environmentally sound before capital commitment.
Own the mine engineering budget, resourcing, and toolchain (e.g., mine-planning software), and hold accountability for the safety and productivity outcomes of the deposits the function is responsible for.
Interface with peer engineering, operations, and geology executives and with major contractors/customers to align mine development and operations scheduling with production commitments.
Translate the Principal-level 'chief technical expert' remit into a governed function: build and mentor the Director/Principal bench and set the mining-engineering practices the function operates by.

Knowledge applied: Functional strategy plus detailed company knowledge applied to the whole mine engineering function — mine planning, development sequencing, drilling/blasting design, pit optimization, ore blending, and feasibility economics — extending the Principal 'chief technical expert' remit into functional ownership.
Complexity & problem solving: Owns functional strategy for the mining engineering function; resolves technical and economic problems where errors carry serious functional/business consequences (e.g., a flawed feasibility case or sequencing plan).
Collaboration & interaction: Interfaces with peer executives, major customers, and key contractors; leads a small business unit or sub-function through Directors/Principal engineers.
Typical experience: 12–15+ yrs combined mining-engineering and management experience; builds on the ~15-yr, degreed (mining/geotechnical/geological/civil) Senior Mining Engineer profile the evidence documents. Scale into VP inferred, not directly sourced.

Skills at this level

Mine Planning and Development Sequencing: — Determines the means of safely and efficiently mining deposits, sequencing development and operations, blending ore, and optimizing pit designs to bring extraction plans to life. Evidenced at Principal/technical-lead level and, at the executive tier, owned as function/portfolio strategy.
Mine Feasibility and Economic Analysis: — Conducts surveys of ore, mineral, or coal deposits and prepares pre-feasibility and feasibility technical reports with economic analysis to decide whether and how a potential mining operation is economically and environmentally viable — the basis for executive capital-commitment decisions.
Drilling and Blasting Design: — Advises on the appropriate drilling and blasting approaches for extracting deposits safely and efficiently; a technical activity that executives set standards and approval gates over.
Mine Safety and Operations Oversight: — Oversees mine planning, operations, and safety to ensure efficient resource extraction while optimizing productivity; scaled from site oversight at E1 to portfolio-level safety-risk accountability at higher rungs.
Pit Optimization and Ore Blending: — Optimizes pit designs and blends ore across the extraction program to maximize economic recovery — a cross-asset technical trade-off that becomes a division/portfolio strategic decision at the executive tier.
Enterprise Mining Portfolio Governance: — Governs the aggregate safety, reserve-realization, and economic-viability risk of the enterprise's mining assets, and directs which deposits are developed in what sequence under what feasibility economics — extrapolated from the Principal 'shapes long-term technical strategy across the engineering organization' boundary into corporate governance.

Model-authored from 20 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 Engineering — 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 E1 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$282k

San Francisco-Oakland-Fremont, CA$253k

Washington-Arlington-Alexandria, DC-VA-MD-WV$234k

Boulder, CO$231k

Seattle-Tacoma-Bellevue, WA$231k

Boston-Cambridge-Newton, MA-NH$221k

Lexington Park, MD$216k

Trenton-Princeton, NJ$214k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $169k; 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 E1 (E1 — Director (Executive)) from the levels around it — this level only. Every word is real canon for this profile.

Scope: A significant function with strategic authority
Autonomy: Sets functional strategy
Complexity: Strategic and cross-functional
Impact: Function-wide enterprise impact
Decision rights: Owns strategy and investment for the function
Leadership: Executive leadership of a function

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

Promotion

The next rung from E1 is E2.

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 Supervisor	jf_mining_engineering::M1	$85,619†	confident0.06
Associate Mining Engineer	jf_mining_engineering::P1	$61,862†	confident0.06
Junior Mining Engineer	jf_mining_engineering::S1	$37,323†	confident0.06
SVP, Mining Engineering	jf_mining_engineering::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

E1

jf_mining_engineering::E1

VP of Mining Engineering

Mining Engineering

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: engineering_expansion
Family: mining_engineering
Universal level: 1 / 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").

Aeronautical · E1review0.17

Agricultural · E1review0.17

Agronomist · E1review0.17

Application Services · E1review0.17

Chemical · E1review0.17

Communication · E1review0.17

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)