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Key statistics

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

1 of 8

Track

Management

Family rungs priced

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17-0000

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Coordinates

3 / 4 spaces

pay@2 · 2026-07

What this role is

First-line supervisor leading a small team of manufacturing/industrial engineers and technicians on production line processes. 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

Supervises a unit of industrial engineers and technicians performing data collection, process mapping, and workflow optimization tasks on assigned lines
Oversees daily execution of process-improvement initiatives, ensuring engineers correctly apply industrial engineering software tools and quality control audit procedures
Assigns and reviews day-to-day work such as time studies and process documentation, resolving routine issues within established practices
Coaches junior engineers on data analysis and process reengineering methods, tracking short-term unit goals against schedule

Knowledge applied: Functional expert in industrial engineering methods (process mapping, time studies, quality audits) applied to a single unit's daily operations.
Complexity & problem solving: Limited scope; resolves routine process and workflow issues using established practices and standard tools.
Collaboration & interaction: Daily interaction with unit staff and peer supervisors to keep line improvement work on track.
Typical experience: Functional expert with some leadership exposure; first-line supervisory responsibility.

Skills at this level

Six Sigma: — Deploys Six Sigma and related quality-improvement methodologies to reduce process variation and drive manufacturing-process improvements across lines.
Process Mapping & Reengineering: — Maps existing production workflows and redesigns processes to optimize throughput, cost, and quality across manufacturing lines.
Workflow Optimization: — Analyzes and improves production workflows to eliminate waste and increase line efficiency and capacity.
Quality Control Auditing: — Oversees quality control audits of manufacturing processes to verify compliance with standards and identify improvement opportunities.
Process/Product Integration: — Integrates and develops processes and products that meet business needs across multiple production lines and the wider organization.
Technical Communication: — Communicates complex technical process and quality information to non-technical stakeholders across cross-functional manufacturing teams.
Mathematics: — Uses mathematical analysis to solve process problems and to model and understand current manufacturing processes such as time studies and capacity calculations.
Production Planning Systems (MRP): — Directs use of materials requirement planning (MRP) and production planning software to schedule production, manage material flow, and forecast capacity in manufacturing operations.
ERP/SAP for Manufacturing: — Governs use of SAP and ERP systems (including Oracle JD Edwards EnterpriseOne) to link engineering process data with production, inventory, and cost management across the plant.
Automation & Controls Systems: — Directs deployment of PLC, SCADA, CNC (e.g., Siemens SINUMERIK), and HMI systems (e.g., AVEVA InTouch) to automate and monitor manufacturing lines.
Yield & Plant Maintenance Systems: — Applies yield management and plant maintenance software to track manufacturing performance and schedule preventive maintenance that sustains line uptime.
Project Management: — Plans and manages process-improvement and line-change projects using tools such as Microsoft Project to sequence engineering deliverables against production schedules.
Long-Term Manufacturing Planning: — Leads long-term capacity, automation, and process-integration planning to align manufacturing-engineering roadmaps with business and financial objectives.

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

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 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
Cost Accounting Supervisor	jfo_jfm_accounting-cost-accounting::M1	—	confident0.00
General Accounting Supervisor	jfo_jfm_accounting-general-accounting::M1	—	confident0.00
Administrative Support Supervisor	jfo_jfm_administrative-corporate-services-administrative-support::M1	—	confident0.00
Service Delivery Supervisor	jfo_jfm_administrative-corporate-services-service-delivery::M1	—	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

M1

jfo_jfm_manufacturing-industrial-engineering-manufacturing-industria::M1

Manufacturing Engineering Supervisor

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
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").

jfo_jfm_accounting-cost-accounting::M1 · M1confident0.00

jfo_jfm_accounting-general-accounting::M1 · M1confident0.00

jfo_jfm_administrative-corporate-services-administrative-support::M1 · M1confident0.00

jfo_jfm_administrative-corporate-services-service-delivery::M1 · M1confident0.00

jfo_jfm_aerospace-propulsion-engineering-aerospace-engineering::M1 · M1confident0.00

jfo_jfm_aerospace-propulsion-engineering-propulsion-engineering::M1 · M1confident0.00

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)