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Key statistics

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

2 of 8

Track

Executive

Family rungs priced

E1 · E2 · E3 · E4 · E5

11-0000

retail_hospitality

Coordinates

3 / 4 spaces

pay@2 · 2026-07

What this role is

Senior executive responsible for store performance and operations across all regions and districts of a retail organization. At the Senior Director (Executive) (E2) level, the role owns multiple functions or a major area, multi-function strategy and risk, and drives major-area outcomes. Leads function leaders.

What this level does

Lead multiple store-operations divisions or a national field organization through VP-level regional heads, integrating scheduling, inventory, merchandising execution and loss-prevention into one coordinated operating model.
Own the consolidated field P&L across divisions, making trade-offs on payroll investment, occupancy footprint, shrink programs and discretionary spend where decisions materially affect the company's operating margin.
Set the fleet-wide store operating strategy — labor models, promotional-execution standards and store-condition targets — and drive the cross-functional resolution of conflicts between merchandising, supply chain and field operations.
Negotiate critical operating matters (occupancy commitments, workforce investment, vendor service levels) with top company leaders and key partners.
Build and govern the leadership layer beneath — appointing and developing regional VPs and standardizing how districts and stores are led company-wide.

Knowledge applied: Applies cross-functional judgment across multiple field divisions, integrating labor models, inventory flow, merchandising execution and loss prevention into a coherent fleet operating model.
Complexity & problem solving: Resolves abstract, high-consequence issues where decisions on payroll investment, occupancy footprint and shrink programs may impact overall company operating margin; reconciles conflicts between merchandising, supply chain and field operations.
Collaboration & interaction: Leads multiple divisions through VP-level regional heads (E1–E2); negotiates critical operating and investment matters with top company leaders and key partners.
Typical experience: 15+ years, including strategic leadership of field functions or significant business units.

Skills at this level

Multi-Unit P&L Ownership: — Consolidates and manages the profit-and-loss of a portfolio of stores — driving the sales plan, holding payroll to budget, keeping shrink within target, controlling discretionary operating expense and managing occupancy costs across many locations.
Store Operating-Model Design: — Defines the standardized way stores are run across the fleet — labor and scheduling models, inventory ordering and receiving, merchandising execution and store-condition standards — so every location delivers consistent operations and KPIs.
Directing Through Multi-Unit Leaders: — Leads store managers and district managers through others rather than doing the work directly — assigning areas of accountability, coaching multi-unit supervisors and driving regional performance across 5-12+ stores per district.
Shrink and Loss-Prevention Strategy: — Sets targets and programs to control inventory shrink across the store estate, translating loss patterns into operating standards and investment decisions that keep shrink within corporate targets.
Retail Talent Pipeline Development: — Builds the bench of future store and multi-unit leaders — recruiting, mentoring and developing store managers and district managers, and owning succession for field-leadership roles, the responsibility exclusive to store leadership.
Occupancy and Store-Estate Portfolio Strategy: — Makes strategic decisions about the physical fleet — store footprint, format mix, occupancy commitments and store-condition investment — balancing capital against the operating economics of each location.
Merchandising Execution Governance: — Directs how promotional campaigns, in-store displays and visual merchandising are executed consistently across stores to drive traffic and sales, ensuring field execution matches the intended standard.
Retail Compliance and Health & Safety Oversight: — Ensures stores across the portfolio comply with relevant laws, regulations, company policy and health-and-safety requirements, setting the standards and controls that keep the fleet compliant.
Retail Sales-Data Analytics: — Analyzes store and regional sales data to identify trends and performance gaps, translating findings into operating actions, resource allocation and business strategies to increase profitability.
Enterprise Retail Strategy Integration: — Integrates store-operations economics — fleet size, workforce, format and occupancy — into the company's overall growth and profitability strategy, representing physical retail in enterprise-level strategic decisions.
Executive Stakeholder and Board Engagement: — Engages the board, CEO, investors, landlords, regulators and industry leaders on store-operations performance, fleet-investment decisions and operating risk, and represents the function externally.

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

Store Management — 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

+49.3%General and Operations Managers · United States

2,400,280 → 3,584,420 jobs

308,700 openings / year, split into:

replacement / exits 292,364

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: +4.4%
Growth share of hiring: 5%
Exit / retention pressure high: 95%
Openings / year: 308,700

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 E2 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$524k

San Francisco-Oakland-Fremont, CA$470k

Washington-Arlington-Alexandria, DC-VA-MD-WV$435k

Boulder, CO$429k

Seattle-Tacoma-Bellevue, WA$429k

Boston-Cambridge-Newton, MA-NH$411k

Lexington Park, MD$400k

Trenton-Princeton, NJ$398k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $315k; 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 E2 (E2 — Senior Director (Executive)) from the levels around it — this level only. Every word is real canon for this profile.

Scope: Multiple functions or a major area
Autonomy: Owns area-level strategy
Complexity: Multi-function strategy and risk
Impact: Major-area outcomes
Decision rights: Owns strategy and resourcing across functions
Leadership: Leads function leaders

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

Promotion

The next rung from E2 is E3.

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
Senior Store Supervisor	jf_store_management::M2	$110,455†	confident0.06
Store Operations Coordinator	jf_store_management::P2	$72,357†	confident0.06
Store Operations Associate	jf_store_management::S2	$42,923†	confident0.06
VP of Store Operations	jf_store_management::E1	$169,459†	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 11-1021

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

E2

jf_store_management::E2

SVP of Store Operations

Store Management

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: retail_hospitality
Function: store_operations
Family: store_management
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").

Cashier · E2review0.17

Loss Prevention · E2review0.17

Optical · E2review0.17

Pharmacy · E2review0.17

Product Specialty · E2review0.17

General · E2review0.17

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 11-1021	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)