Industrial Production Manager
This occupation's structural exposure score reads high on paper — largely because the job's O*NET task list is written in coordination-and-communication language ('direct,' 'confer,' 'review') that language-model exposure metrics tend to flag heavily, a known pattern for management roles on this site's 2-pillar scoring model.
We have not ingested real-world usage data for this occupation yet. We show a band only where genuine data exists, rather than estimate one.
What a industrial production manager actually does
Industrial production managers run the floor — they're accountable for what a plant actually produces, how well, and on what schedule. The daily work includes setting and monitoring product quality standards, examining samples or directing testing during processing to make sure finished goods meet spec, and directing or coordinating production, processing, distribution, and marketing activities across the organization.
Managers review processing schedules and production orders to decide inventory requirements, staffing levels, work procedures, and duty assignments, then confer with technical and administrative staff to resolve the production or processing problems that inevitably come up mid-shift. A large part of the job is people management: hiring, training, and evaluating staff, resolving personnel grievances, and making the judgment calls that keep a shift running when a machine breaks, a supplier is late, or quality drifts out of tolerance.
Many production managers came up through the shop floor themselves, which shapes how they read a line's problems — recognizing when a slowdown is a training issue versus an equipment issue versus a scheduling issue takes accumulated, plant-specific experience that isn't written down anywhere.
Why it reads this way
This occupation's structural exposure score reads high on paper — largely because the job's O*NET task list is written in coordination-and-communication language ('direct,' 'confer,' 'review') that language-model exposure metrics tend to flag heavily, a known pattern for management roles on this site's 2-pillar scoring model. The real-world evidence points the other way.
AI-driven production-scheduling and manufacturing-execution-system tools — platforms like Coperion's C-Beyond, o9 Solutions, and Epicflow — are real and genuinely speed up replanning, cutting what used to take hours down to minutes. But every source examined frames these tools as decision-support assistants, not decision-makers: a human still has to own quality sign-off, hire and fire staff, and negotiate across departments when priorities conflict, none of which any scheduling tool touches.
A Deloitte manufacturing survey found only 29% of manufacturers have scaled AI to the plant or network level, and just 1% consider themselves AI-mature — evidence this is still early-stage tooling adoption, not mature replacement of managerial judgment. No named commercial deployment claiming to replace the production-manager role itself was found. No government license applies to this role, though the field carries real, voluntary credentials like the APICS/ASCM Certified in Production and Inventory Management (CPIM) and ASQ's Certified Quality Engineer.
Skills this role draws on
We don't yet have task-by-task time-share data for this occupation, so we can't show which specific tasks carry the exposure score above. This is the real skill set instead.
Typical salary range (USD)
$78,000–$205,520
Average: $126,060/yr
Range source: BLS Occupational Employment and Wage Statistics, Industrial Production Managers (11-3051.00), 2025 release
Average source: BLS Occupational Employment and Wage Statistics, Industrial Production Managers (11-3051.00), 2025 release, accessed via O*NET OnLine / My Next Move — direct bls.gov access returned HTTP 403 during research
Related careers
Head-to-head comparisons
Industrial Production Manager scores just 36/100 on the numeric structural exposure model — but this site's own methodology notes that management/coordination-heavy roles are a known blind spot for that model (the same pattern flagged for Registered Nurse), since O*NET task lists written in 'direct,' 'confer,' and 'review' language get over-flagged by language-model exposure metrics. Real-world evidence points the other way: AI scheduling and MES tools (Coperion C-Beyond, o9 Solutions, Epicflow) speed up replanning but are consistently framed as decision-support, not decision-makers — a human still owns quality sign-off and staff hiring/firing. Deloitte found only 29% of manufacturers have scaled AI to plant level and just 1% consider themselves AI-mature, evidence of early-stage tooling rather than managerial replacement. No named deployment claims to replace this role itself.
This is a researched judgment (checklist v1.2), not a statistical measurement — it sits alongside, not instead of, the structural exposure signal above. Next scheduled review: 2027-02-11.
Data sources & methodology
Salary data: BLS Occupational Employment and Wage Statistics, Industrial Production Managers (11-3051.00), 2025 release. Min/max figures represent the 10th–90th percentile annual wage range across the United States. Average figure sourced separately: BLS Occupational Employment and Wage Statistics, Industrial Production Managers (11-3051.00), 2025 release, accessed via O*NET OnLine / My Next Move — direct bls.gov access returned HTTP 403 during research.
Automation Risk Score: Based on O*NET occupational analysis (11-3051.00) evaluating task complexity, physical requirements, social intelligence, and environmental variability. Methodology based on research from Frey & Osborne (Oxford, 2017).
Growth projections: ~2% (2024-2034), slower than average, based on BLS Occupational Outlook Handbook.