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Key statistics

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

2 of 8

Track

Management

Family rungs priced

M1 · M2 · M3 · M4 · M5 · M6

19-0000

industrial_energy_operations

Coordinates

3 / 4 spaces

pay@2 · 2026-07

What this role is

Senior supervisor overseeing a geology team responsible for site mapping, ore body delineation, and reserve estimation activities. At the Manager II (M2) level, the role owns an established team or sub-function, cross-project coordination and priorities, and drives group delivery and development. Manages a team; sometimes manages leads.

What this level does

Leads a skilled team of geologists integrating literature, geologic mapping, and remotely sensed data, owning tactical outcomes of a mapping or sampling program within known project parameters
Manages GIS/ArcGIS geodatabase attribution and data quality standards for the team's geologic mapping deliverables in an enterprise environment
Coordinates cross-functionally with geophysicists, laboratory chemists, and land teams to sequence sampling and analysis workflows
Makes judgments within established factors on field method selection and sample density, and mentors junior supervisors on interpretation of collected data

Knowledge applied: Applies specialist knowledge of geologic mapping, GIS/ArcGIS geodatabase management, and data synthesis to lead a skilled team's tactical program.
Complexity & problem solving: Makes judgments within known factors on field method and sampling design; interprets collected data beyond raw collection.
Collaboration & interaction: Cross-functional cooperation with geophysicists, lab chemists, and land teams to sequence workflows.
Typical experience: 2–5 years in team leadership or specialist geology roles, with roughly 3+ years across mining, environmental, or land-remediation work.

Skills at this level

Analyzing Data or Information: — Identifies the underlying geological principles, reasons, or facts by breaking down field, mapping, and laboratory data into separate parts to interpret deposits and subsurface conditions.
Getting Information: — Observes, receives, and obtains geological information from all relevant sources including field surveys, aerial photographs, rock samples, and remotely sensed data.
GIS and Geospatial Technology: — Uses GIS, remote sensing, and geospatial technologies including ArcGIS to produce geologic mapping and manage geodatabase attribution in an enterprise environment.
Geological and Groundwater Modeling: — Uses groundwater and geological modeling software plus graphics editing and data manipulation tools to produce publication-quality figures and geospatial analyses.
Communication: — Presents geological research findings clearly to varied audiences, including both scientists and stakeholders without a geoscience background, through reports, papers, and presentations.
Field Study Planning and Sampling: — Plans and directs field studies, visiting locations to collect physical samples and conduct surveys, and coordinates specialized laboratory chemical analyses such as geochronology and geochemistry.
Resource Deposit Interpretation: — Analyzes aerial photographs, rock samples, and integrated data to locate deposits of natural resources and estimate their size and commercial significance.
Contract and Commercial Management: — Owns the contractual and commercial framing of geological deliverables, extending accountability beyond geology into contract negotiation and client program commitments.
Team Leadership and Mentoring: — Provides leadership across geology project teams and mentors junior staff, developing field competencies toward interpretation and accountability.
Working with Computers: — Uses computers and computer systems to enter, process, and interpret geological data, run modeling software, and manage geospatial workflows.

Model-authored from 19 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

Geology — 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 19-0000 · national

Employment growth 2019–2024, BLS OEWSobserved

-22.9%Geoscientists, Except Hydrologists and Geographers · United States

29,200 → 22,510 jobs

2,000 openings / year, split into:

replacement / exits 1,919

Growth — new jobs (4%)Exits — backfill (96%)

4% of hiring here is genuine expansion; the rest backfills people who move on.

Projected growth 2024–34 expanding: +3.2%
Growth share of hiring: 4%
Exit / retention pressure high: 96%
Openings / year: 2,000

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 M2 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$179k

San Francisco-Oakland-Fremont, CA$161k

Washington-Arlington-Alexandria, DC-VA-MD-WV$149k

Boulder, CO$147k

Seattle-Tacoma-Bellevue, WA$147k

Boston-Cambridge-Newton, MA-NH$141k

Lexington Park, MD$137k

Trenton-Princeton, NJ$136k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $108k; 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 M2 (M2 — Manager II) from the levels around it — this level only. Every word is real canon for this profile.

Scope: An established team or sub-function
Autonomy: Owns planning for the group
Complexity: Cross-project coordination and priorities
Impact: Group delivery and development
Decision rights: Owns staffing, priorities, performance for the group
Leadership: Manages a team; sometimes manages leads

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

Promotion

The next rung from M2 is M3.

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
SVP of Geology	jf_geology::E2	$322,728†	confident0.06
Geologist	jf_geology::P2	$72,357†	confident0.06
Geology Field Technician	jf_geology::S2	$42,923†	confident0.06
Geology Supervisor	jf_geology::M1	$85,619†	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 19-2042

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

M2

jf_geology::M2

Senior Geology Supervisor

Geology

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: geoscience
Family: geology
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").

Geomatics · M2review0.17

Geophysics · M2review0.17

Geothermal · M2review0.17

Petrophysics · M2review0.17

Technologist · M2review0.17

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 19-2042	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)