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AI Work Index

Headline risk

11%

Low Risk

Event Manager

United States role viewSynthetic blend · 3 occupationsISCO 2421

This page reuses the same role shell as Singapore, but the component occupations are mapped onto the United States layer so the score, context, and support bundle reflect US public evidence.

Median wage: USD 101,1901,075.1 currentConfidence medium

Why this score

Exposure 75%

Weighted overlap across component occupations

Bottleneck 77%

Human coordination and physical presence protection

Demand resilience 34%

Blended local-market buffer for this role

Confidence 60%

Component coverage and mapping quality

Workflow profile

Heuristic workflow context blended from the role mix. This explains the score; it is not used as a direct local-market forecast.

CreativeAmbiguityInstitutionalRelationshipsRegulatoryPhysicalCoordinationTool Speed

Workflow dimensions (0 = low, 1 = high)

United States support

Evidence bundle

Task coverage 100%

Weighted task overlap from O*NET statements and Anthropic penetration

Wage context USD 101,190

Median annual wage from BLS OEWS

Demand outlook 9%

Employment projections and openings from BLS

Preparation Job Zone 4

Preparation and entry requirements from O*NET and BLS

Support sources
11/11 source families Updated from O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration

Support snapshot

Job zone

4

The occupation usually needs substantial preparation and experience.

Median wage

USD 101,190

USD 76,770 to USD 133,140

Openings

98.1K

8.8% projected change

Median age

45.2

1.1M employed

Occupation profile

Conduct organizational studies and evaluations, design systems and procedures, conduct work simplification and measurement studies, and prepare operations and procedures manuals to assist management in operating more efficiently and effectively. Includes program analysts and management consultants.

Job Zone 4 · Moderate preparation

The occupation usually needs substantial preparation and experience.

Task primitives

Matched task weight share: 100% · Effective coverage: 20%

Concentration: 52%

Wage context

Median annual

USD 101,190

Mean annual

USD 114,710

Hourly median: USD 49

Employment: 893,900 workers

10th percentile: USD 59,720

90th percentile: USD 174,140

Demand outlook

2024 employment

1075.1K

2034 employment

1169.7K

Openings: 98.1K

Projected change: 8.8%

Education: Bachelor's degree

Work experience: Less than 5 years

On-the-job training: None

Median wage in projections: USD 101,190

Employment of management analysts is projected to grow 9 percent from 2024 to 2034, much faster than the average for all occupations.

Requirements and friction

Telework: 74.6%Telework: 25.4%Credentials: 7.7%Credentials: 92.3%Credentials: <0.5%Credentials: >99.5%Credentials: <5%Credentials: >95%

Telework: 74.6% · Telework: 25.4% · Credentials: 7.7%

Narrative and skills

AdaptabilityWriting and readingProblem solving and decision making

Management analysts recommend ways to improve an organization&rsquo;s efficiency.

Management analysts may travel frequently to meet with clients. Some work more than 40 hours per week.

Management analysts typically need at least a bachelor&rsquo;s degree and several years of related work experience.

The median annual wage for management analysts was $101,190 in May 2024.

Employment of management analysts is projected to grow 9 percent from 2024 to 2034, much faster than the average for all occupations.

Jobs: 1,075,100

Median pay: USD 101,190

Employment outlook: Employment of management analysts is projected to grow 9 percent from 2024 to 2034, much faster than the average for all occupations.

Openings: 94,500

Tasks and tools

  • 1. Confer with personnel concerned to ensure successful functioning of newly implemented systems or procedures. · AI use 0%
  • 2. Gather and organize information on problems or procedures. · AI use 100%
  • 3. Analyze data gathered and develop solutions or alternative methods of proceeding. · AI use 0%
  • 4. Document findings of study and prepare recommendations for implementation of new systems, procedures, or organizational changes. · AI use 74%
  • 5. Interview personnel and conduct on-site observation to ascertain unit functions, work performed, and methods, equipment, and personnel used. · AI use 0%
  • 6. Plan study of work problems and procedures, such as organizational change, communications, information flow, integrated production methods, inventory control, or cost analysis. · AI use 0%
Atlassian JIRA · hot · in demandMicrosoft Excel · hot · in demandMicrosoft Office software · hot · in demandMicrosoft Outlook · hot · in demandMicrosoft Power BI · hot · in demandMicrosoft PowerPoint · hot · in demand
AdaptabilityWriting and readingProblem solving and decision making

Work context

  • E-Mail: 5.0/5
  • Telephone Conversations: 4.9/5
  • Face-to-Face Discussions with Individuals and Within Teams: 4.7/5
  • Determine Tasks, Priorities and Goals: 4.3/5
  • Work With or Contribute to a Work Group or Team: 4.3/5
  • Indoors, Environmentally Controlled: 4.3/5

Tech density

6/6

6 hot · 6 in demand

Work pace

4.6/5

Average of the strongest work-context signals.

Worker profile

Median age: 45.2

Total employed: 1.1M · Under 25: 5% · 25 to 54: 67% · 55+: 29%

Support note

Built from O*NET occupation descriptions, task statements, technology skills, work context, Job Zones, Anthropic task penetration, BLS OEWS wages, BLS projection tables, BLS ORS requirements, BLS OOH narrative content, BLS skills data, and BLS CPS occupation age tables.

Source vintage

O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration

Component occupations

Marketing manager

n/a · 40% weight

Marketing manager

Management analysts

13-1111 · 30% weight

Open

Business and financial project management professional

Support bundle: Moderate preparation

Financial managers

11-3031 · 30% weight

Open

Administration manager

Support bundle: Moderate preparation

Methodology

Shared spine

structural_pressure = exposure × (1 - bottleneck)

Country layer

headline_risk = structural_pressure × (1 - country_demand_resilience)

Published limitations

This is a synthetic role view built from mapped occupations. It reuses the same shell and visual components as the Singapore role pages, but only the US sources that actually exist are rendered here.