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Key statistics

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

1 of 8

Track

Management

Family rungs priced

M1 · M2 · M3 · M4 · M5 · M6

—

industrial_energy_operations

Coordinates

2 / 4 spaces

pay@2 · 2026-07

What this role is

Front-line supervisor overseeing a mine crew or shift to execute daily extraction plans safely and efficiently. At the Manager (Team Lead) (M1) level, the role owns a single team, day-to-day delivery and people issues, and drives team output and health. Direct people management of one team.

What this level does

Supervise a unit of mine engineers, surveyors, and CAD technicians performing daily mine engineering, surveying, and CAD work, allocating tasks and reviewing outputs for accuracy and safety
Oversee subsurface surveys to identify characteristics of potential development sites and ensure survey results are correctly analyzed and compiled into technical reports on mineral presence and extraction potential
Review draft layouts and specifications of technical devices, parts, and equipment prepared by the team, ensuring documentation, drawings, and instructions are complete and correct
Enforce adherence to established mine planning and surveying practices and short-term production targets for the unit within an assigned budget

Knowledge applied: Functional expert in surface and underground mine planning, surveying, and CAD; applies established mining engineering practices to supervise a unit's daily engineering and survey work.
Complexity & problem solving: Limited scope; resolves routine engineering and survey issues using established methods and standards.
Collaboration & interaction: Daily interaction with the unit's engineers, surveyors, technicians, and peer supervisors.
Typical experience: Functional mining engineering expertise with some leadership exposure.

Skills at this level

Mine planning: — Directs the design and sequencing of surface and underground mine development, covering extraction methods, layout, and production scheduling to meet resource and economic targets.
Ventilation: — Oversees mine ventilation design and monitoring to maintain safe underground air quality and airflow across development and production areas.
Explosives engineering and rock mechanics: — Guides evaluation of blasting design and ground/rock behavior, applying complex scientific studies to ensure safe and effective extraction.
Feasibility and economic analysis: — Leads pre-feasibility and feasibility technical reports, Whittle optimization, ore blending, and economic investigations to establish project viability of solid mineral resources.
Reclamation, environmental and sustainability compliance: — Ensures mines are operated in safe and environmentally sound ways, solving land reclamation, water and air pollution problems and maintaining compliance with environmental regulation.
Safety and regulatory compliance: — Enforces mining safety standards and navigates regulatory issues across mine planning and operations to keep engineering designs and practices compliant.
Mine production oversight: — Project-manages the mining production process, monitoring production methods and rates and delegating production tracking to keep operations efficient.
Software and CAD proficiency: — Applies mine-design software (e.g., Maptek Vulcan) and CAD/surveying tools (AutoCAD, MicroStation) to develop and communicate mine methods and structures.
Surveying and subsurface assessment: — Directs subsurface surveys to characterize potential development sites and analyzes results to assess mineral presence and extraction potential.
People leadership and development: — Guides, directs, and motivates subordinates by setting performance standards, monitoring performance, mentoring, and building training programs for engineers and technicians.
Technical documentation and specification: — Reviews and specifies technical devices, parts, and equipment, ensuring documentation, drawings, layouts, and detailed instructions are accurate and complete.
Stakeholder and business development: — Consults with industry stakeholders on research and technical advancements and engages in relationship building and business development around mining projects.

Model-authored from 16 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?

Employment growth 2019–2024, BLS OEWSobserved

+7.8%Mining and Geological Engineers, Including Mining Safety Engineers · United States

6,280 → 6,770 jobs

400 openings / year, split into:

replacement / exits 395

Growth — new jobs (1%)Exits — backfill (99%)

1% of hiring here is genuine expansion; the rest backfills people who move on.

Projected growth 2024–34 expanding: +0.7%
Growth share of hiring: 1%
Exit / retention pressure high: 99%
Openings / year: 400

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 M1 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$143k

San Francisco-Oakland-Fremont, CA$128k

Washington-Arlington-Alexandria, DC-VA-MD-WV$118k

Boulder, CO$117k

Seattle-Tacoma-Bellevue, WA$117k

Boston-Cambridge-Newton, MA-NH$112k

Lexington Park, MD$109k

Trenton-Princeton, NJ$108k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $86k; 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 M1 (M1 — Manager (Team Lead)) from the levels around it — this level only. Every word is real canon for this profile.

Scope: A single team
Autonomy: Manages within established goals
Complexity: Day-to-day delivery and people issues
Impact: Team output and health
Decision rights: Owns team execution, hiring input, performance
Leadership: Direct people management of one 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 M1 is M2.

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
VP of Mining Engineering	jf_mining_engineering::E1	$169,459†	confident0.06
Associate Mining Engineer	jf_mining_engineering::P1	$61,862†	confident0.06
Junior Mining Engineer	jf_mining_engineering::S1	$37,323†	confident0.06
Senior Mine Planning Supervisor	jf_mining_engineering::M2	$110,455†	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 17-2151

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

M1

jf_mining_engineering::M1

Mining Supervisor

Mining Engineering

no content fingerprint

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: M
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.

No content fingerprint for this profile.

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 · M1review0.17

Agricultural · M1review0.17

Agronomist · M1review0.17

Application Services · M1review0.17

Chemical · M1review0.17

Communication · M1review0.17

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 17-2151	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)