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Key statistics

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

1 of 8

Track

Executive

Family rungs priced

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11-0000

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Coordinates

3 / 4 spaces

pay@2 · 2026-07

What this role is

Executive leader accountable for the entire upstream and downstream bioprocess manufacturing organization. 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

Lead the complete upstream manufacturing sub-function through Directors, owning cell culture and fermentation operations from inoculation and seed expansion through production bioreactors against GMP batch schedules
Set the upstream operating strategy for process performance — bioreactor run reliability, product yield, and adherence to molecule-specific control strategies — and hold Directors accountable for on-spec batch delivery
Own upstream process introduction outcomes, directing tech transfer, PPQ execution readiness, and startup-to-routine transitions for new products entering the upstream environment
Represent upstream manufacturing to peer executives (QA, downstream, MSAT) and major customers/partners during process reviews, audits, and technical due diligence
Govern the upstream equipment and facility landscape — bioreactors, incubators, biosafety cabinets, media systems — including commissioning/qualification for new upstream capacity

Knowledge applied: Applies functional upstream manufacturing strategy grounded in detailed knowledge of cell culture and fermentation science, molecule-specific control strategies, and the full upstream equipment landscape; translates process understanding into a reliable GMP operation.
Complexity & problem solving: Resolves problems with serious functional/business consequences — batch failures, yield deviations, tech-transfer and startup issues — where root cause spans process, equipment, and specification basis.
Collaboration & interaction: Interfaces with peer executives across QA, downstream, and MSAT and with major customers/partners during audits and process reviews.
Typical experience: 12–15+ years of upstream bioprocess and manufacturing management experience, leading through Directors (M5).

Skills at this level

Upstream Process Ownership: — Serves as owner of the upstream cell-culture/fermentation process, ensuring new products are successfully introduced into biologics manufacturing and that molecule-specific control strategy is maintained from startup into routine operations.
Cell Culture and Fermentation Science: — Applies deep knowledge of upstream cell culture and microbial fermentation processes — inoculation, seed expansion, and production bioreactor operation — to govern growth conditions such as pH, temperature, dissolved oxygen, and nutrient levels for target yield.
Tech Transfer and PPQ Strategy: — Directs late-stage upstream process development, technology transfer, Process Performance Qualification (PPQ) strategy, and BLA authoring to move processes into the manufacturing environment.
External Process Development Oversight: — Oversees design and execution of upstream process development conducted at CDMOs or external sites, ensuring the work is equivalent to internal standards.
Digital Plant and Process Analytics: — Maximizes the benefits of a digital plant, using data analytics and process analytical technology (PAT) to gain in-depth upstream process knowledge and continuously improve process performance.
GMP Manufacturing Governance: — Establishes and enforces current good manufacturing practice across upstream operations — batch record execution, SOP authoring, and safe handling of hazardous materials and waste — to sustain a compliant, audit-ready operation.
New Facility Startup and Qualification: — Governs commissioning, qualification, and startup of new upstream capacity and equipment, transitioning bioreactor and fermentation suites from build to routine GMP production.
Manufacturing Network Strategy: — Sets multi-site upstream capacity allocation, campaign sequencing, and make-vs-CDMO footprint to secure reliable biologics supply across the product portfolio.
Process Improvement and Technology Adoption: — Directs implementation of new technologies and process improvements that raise upstream yield, reliability, and cost performance across the manufacturing operation.
Regulatory and External Representation: — Represents upstream manufacturing science and control strategy to regulators, partners, and industry bodies during inspections, filings, and technical due diligence.

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 11-0000 · national

Employment growth 2019–2024, BLS OEWSobserved

+26.2%Industrial Production Managers · United States

185,790 → 234,380 jobs

17,100 openings / year, split into:

replacement / exits 16,640

Growth — new jobs (3%)Exits — backfill (97%)

3% of hiring here is genuine expansion; the rest backfills people who move on.

Projected growth 2024–34 expanding: +1.9%
Growth share of hiring: 3%
Exit / retention pressure high: 97%
Openings / year: 17,100

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$282k

San Francisco-Oakland-Fremont, CA$253k

Washington-Arlington-Alexandria, DC-VA-MD-WV$234k

Boulder, CO$231k

Seattle-Tacoma-Bellevue, WA$231k

Boston-Cambridge-Newton, MA-NH$221k

Lexington Park, MD$216k

Trenton-Princeton, NJ$214k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $169k; 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
VP, Controllership / Accounting Management	jfo_jfm_accounting-controllership-accounting-management::E1	—	confident0.00
Vice President, Cost Accounting	jfo_jfm_accounting-cost-accounting::E1	—	confident0.00
VP, General Accounting	jfo_jfm_accounting-general-accounting-management::E1	—	confident0.00
VP, General Accounting	jfo_jfm_accounting-general-accounting::E1	—	confident0.00

Capability cluster

O*NET 11-3051

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

jfo_jfm_manufacturing-operations-bioprocess-manufacturing-upstream-d::E1

VP, Bioprocess Manufacturing (Upstream/Downstream)

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
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-controllership-accounting-management::E1 · E1confident0.00

jfo_jfm_accounting-cost-accounting::E1 · E1confident0.00

jfo_jfm_accounting-general-accounting-management::E1 · E1confident0.00

jfo_jfm_accounting-general-accounting::E1 · E1confident0.00

jfo_jfm_administrative-corporate-services-administrative-services-ma::E1 · E1confident0.00

jfo_jfm_administrative-corporate-services-administrative-support::E1 · E1confident0.00

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 11-3051	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)