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Key statistics

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

2 of 8

Track

Support

Family rungs priced

—

17-0000

—

Coordinates

3 / 4 spaces

pay@2 · 2026-07

What this role is

An individual contributor who applies engineering principles to improve manufacturing processes, layouts, and efficiency under general guidance. At the Support Specialist (S2) level, the role owns a defined queue or customer set, standard issues within known procedures, and drives customer satisfaction for own queue. None.

What this level does

Conducts routine time studies and cycle-time observations across several workstations, capturing multi-step operation breakdowns using the plant's standard method and deadlines set by the engineer.
Updates and re-issues SOPs and work instructions when engineers supply the changes, applying document-control conventions and recognizing when a figure or step looks inconsistent and flagging it.
Compiles process-monitoring data in Excel — building the recurring scrap, throughput and downtime tables and simple charts used in project reviews.
Runs measurements on the coordinate measuring machine (CMM) using established PC-DMIS routines and logs dimensional results against the print.
Marks up AutoCAD plant-layout drawings with equipment moves and cell changes as instructed, returning redlines to the engineer.

Knowledge applied: Broad working knowledge of time-study method, document-control conventions and CMM measurement steps; carries out multi-step, varied tasks across several workstations.
Complexity & problem solving: Semi-routine tasks; recognizes when an observation or document looks inconsistent and flags it, following procedures for new task types with instruction.
Collaboration & interaction: Follows established procedures against deadlines and priorities set by the engineer; routine coordination with operators and peers.
Typical experience: 1–2 years; some related shop-floor or documentation experience.

Skills at this level

Time & Motion Study: — Observes and records manufacturing operation cycles with a stopwatch or timing tool, breaking work into measurable elements to establish or verify labor and cycle-time standards on the production line.
SOP & Work-Instruction Documentation: — Drafts, updates and re-issues standard operating procedures, routing sheets and work instructions under document-control conventions, keeping revisions synchronized with what actually happens on the floor.
Process Data Collection & Reporting: — Captures cycle-time, scrap, yield and downtime data from the line and consolidates it in Excel tables, pivots and charts used in manufacturing project and improvement reviews.
CMM Metrology (PC-DMIS): — Sets up and runs coordinate-measuring-machine routines in Wilcox PC-DMIS to measure part dimensions against the print, logs results and troubleshoots out-of-tolerance readings before escalation.
CAD Layout Markup (AutoCAD): — Reads and redlines plant-layout drawings in AutoCAD to reflect equipment moves, cell reconfigurations and line relocations, returning accurate markups for engineer incorporation.
Statistical Analysis (Minitab / SPSS): — Runs basic statistical process and study analyses in Minitab or IBM SPSS on collected floor data to identify variation, bottlenecks and capability trends for the engineering team.
SCADA / HMI Data Extraction: — Pulls production-count, machine-state and downtime data from supervisory control (SCADA) and human-machine-interface (HMI) systems into structured spreadsheets for monitoring and analysis.
Document Control & Revision Management: — Maintains controlled process documents, filing revisions in correct locations and ensuring the current version of every SOP, work instruction and routing sheet is the one available to the floor.
Excel & Access Data Tooling: — Builds and maintains recurring spreadsheets and Access datasets — pivot tables, lookups and templates — that turn raw manufacturing observations into the repeatable metrics engineers use for decisions.
Bottleneck & Capacity Data Support: — Compiles and diagnoses throughput, utilization and cycle-time data to surface line constraints, supporting engineers on capacity and layout improvement projects.
Shop-Floor Method Trials: — Coordinates with operators to trial revised methods or cell arrangements on the line and documents before/after results so the engineer can validate an optimization change.
Procedure Creation & Standardization: — Designs new data-collection, measurement and documentation procedures for the plant so that cycle-time, yield and metrology results are captured consistently across shifts, cells and technicians.
Technician Guidance & Training: — Guides and trains junior technicians and peers on time-study technique, CMM routine setup, tools and document-control practice, correcting method errors before data reaches engineers.

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

No priced rungs for this family's ladder yet.

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 17-0000 · national

Employment growth 2019–2024, BLS OEWSobserved

+20.1%Industrial Engineers · United States

291,710 → 350,230 jobs

25,200 openings / year, split into:

growth 3,862

replacement / exits 21,338

Growth — new jobs (15%)Exits — backfill (85%)

15% of hiring here is genuine expansion; the rest backfills people who move on.

Projected growth 2024–34 expanding: +11.0%
Growth share of hiring: 15%
Exit / retention pressure moderate: 85%
Openings / year: 25,200

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 S2 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$72k

San Francisco-Oakland-Fremont, CA$64k

Washington-Arlington-Alexandria, DC-VA-MD-WV$59k

Boulder, CO$59k

Seattle-Tacoma-Bellevue, WA$59k

Boston-Cambridge-Newton, MA-NH$56k

Lexington Park, MD$55k

Trenton-Princeton, NJ$54k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $43k; 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 S2 (S2 — Support Specialist) from the levels around it — this level only. Every word is real canon for this profile.

Scope: A defined queue or customer set
Autonomy: General supervision; handles standard cases independently
Complexity: Standard issues within known procedures
Impact: Customer satisfaction for own queue
Decision rights: Resolves standard cases; escalates complex
Leadership: None

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

Promotion

The next rung from S2 is S3.

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
Accountant	jfo_jfm_accounting-controllership-accounting-management::S2	—	confident0.00
Cost Accounting Assistant	jfo_jfm_accounting-cost-accounting::S2	—	confident0.00
General Accountant	jfo_jfm_accounting-general-accounting-management::S2	—	confident0.00
Accounting Support Associate	jfo_jfm_accounting-general-accounting::S2	—	confident0.00

Capability cluster

O*NET 17-2112

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

S2

jfo_jfm_manufacturing-industrial-engineering-manufacturing-industria::S2

Industrial Engineer

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: S
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").

jfo_jfm_accounting-controllership-accounting-management::S2 · S2confident0.00

jfo_jfm_accounting-cost-accounting::S2 · S2confident0.00

jfo_jfm_accounting-general-accounting-management::S2 · S2confident0.00

jfo_jfm_accounting-general-accounting::S2 · S2confident0.00

jfo_jfm_administrative-corporate-services-administrative-services-ma::S2 · S2confident0.00

jfo_jfm_administrative-corporate-services-service-delivery::S2 · S2confident0.00

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 17-2112	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 of2026-07-31Editioncanon-v2@2.1.0-completeSourcecanon-v2 cell + salary-benchmark (model)