People Analytics Toolbox

Ask about this role

grounded in this role's JobFrame record + structure

Download this job's description (markdown) → derived live from this record.

Key statistics

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

1 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

Executive responsible for the organization's overall geological strategy, resource assessment, and exploration direction across all projects. 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

Leads a complete geology sub-function through Directors, setting the functional strategy and standards for field studies, sampling and data-collection protocols, aerial-photograph and rock-sample analysis, and laboratory analyses that govern how deposits are located and their size estimated across the unit's projects.
Owns the technical quality and defensibility of interpretive outputs — desk studies, interpretative reports, technical papers, and geologic models built in tools such as ArcGIS, Surfer, gINT, and GSI3D / INSIGHT SubsurfaceViewer MX — ensuring resource conclusions delivered to clients and internal decision-makers withstand scrutiny.
Sets OSHA 40-Hour HAZWOPER, CPR/First Aid, and field-safety expectations across all field crews, holding the line on compliant sampling and data-collection practice as a condition of operating.
Interfaces with other executives and major clients to translate geological and geophysical findings into project decisions, representing the geology function in technical scoping and review forums and communicating conclusions to both scientists and nonscientists.
Builds and develops the Director/manager layer, staffing the mix of fieldwork, data-interpretation, and modeling capability the sub-function needs to meet project demand.

Knowledge applied: Applies deep, detailed knowledge of geology practice — field methods, aerial-photo and rock-sample analysis, sampling/data-collection protocols, laboratory analyses, and geologic modeling — as functional strategy, setting the standards Directors execute against rather than performing the interpretation personally.
Complexity & problem solving: Resolves functional-strategy problems where field-program design, sample/data quality, and interpretive method create serious functional and business consequences for the sub-function's deliverables and reputation.
Collaboration & interaction: Interfaces with other executives and major clients, representing the geology sub-function in technical scoping and review, and communicating research findings credibly to both scientists and nonscientists.
Typical experience: 12–15+ years of geology practice combined with management experience, including running interpretation/modeling and field programs through subordinate managers.

Skills at this level

Data interpretation and modeling: — Moves from providing factual field/lab data to interpreting it — writing desk studies and interpretative reports and building geologic models — and, at the executive level, sets the standards that govern how models and resource conclusions are produced and defended.
Fieldwork and field methods: — Governs hands-on field techniques for sampling, surveys, and gathering rock/soil/groundwater data, setting the protocols and quality bar field crews execute against across projects.
Analyzing Data or Information: — Breaks down geological and geophysical information into separate parts to identify underlying principles, reasons, and facts that inform resource-size estimates and subsurface characterization.
Technical writing and communication: — Directs preparation of technical reports, papers, and presentations and ensures findings are communicated credibly to both scientists and nonscientist decision-makers, clients, and boards.
Science: — Uses scientific rules and strategies to solve geological problems and to validate the interpretive methods the organization stakes its resource conclusions on.
Critical thinking: — Reaches conclusions from testing results and data collation, and weighs geologic uncertainty against commercial and schedule consequence when setting functional strategy.
3D geologic modeling (GSI3D / SubsurfaceViewer MX): — Uses 3D geologic modeling platforms to build and defend subsurface and deposit models, and sets these as the shared interpretive standard across divisions.
Drillhole and well-log visualization (gINT, OpenLog, QGeoloGIS): — Uses drillhole/well-log data management and visualization tools to structure borehole evidence into defensible geologic interpretations feeding resource estimates.
GIS-based interpretation (ArcGIS, Surfer): — Uses GIS and gridding/contouring tools to map and interpret spatial geological data for deposit location and size estimation.
Aquifer-test analysis (AQTESOLV): — Uses aquifer-test analysis software to characterize groundwater/hydrogeologic properties as an input to subsurface interpretation and project decisions.
HSE and HAZWOPER field-safety governance: — Sets and enforces OSHA 40-Hour HAZWOPER, CPR/First Aid, and field-safety expectations as a condition of conducting compliant sampling and data-collection fieldwork.
Getting Information: — Observes, receives, and otherwise obtains geological information from field observations, aerial photographs, samples, laboratory analyses, and all relevant data sources.

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 11-0000 · national

Employment growth 2019–2024, BLS OEWSobserved

+49.0%Natural Sciences Managers · United States

67,720 → 100,870 jobs

8,500 openings / year, split into:

replacement / exits 8,114

Growth — new jobs (5%)Exits — backfill (95%)

5% of hiring here is genuine expansion; the rest backfills people who move on.

Projected growth 2024–34 expanding: +3.7%
Growth share of hiring: 5%
Exit / retention pressure high: 95%
Openings / year: 8,500

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$275k

San Francisco-Oakland-Fremont, CA$247k

Washington-Arlington-Alexandria, DC-VA-MD-WV$228k

Boulder, CO$225k

Seattle-Tacoma-Bellevue, WA$225k

Boston-Cambridge-Newton, MA-NH$216k

Lexington Park, MD$210k

Trenton-Princeton, NJ$209k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $165k; 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
Geology Supervisor	jf_geology::M1	$85,619†	confident0.06
Geologist I	jf_geology::P1	$61,862†	confident0.06
Geology Technician	jf_geology::S1	$37,323†	confident0.06
SVP of Geology	jf_geology::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 11-9121

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_geology::E1

VP of Geology

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: E
Superfunction: industrial_energy_operations
Function: geoscience
Family: geology
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").

Geomatics · E1review0.17

Geophysics · E1review0.17

Geothermal · E1review0.17

Petrophysics · E1review0.17

Technologist · 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 11-9121	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)