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Manufacturing Executive Jobs in McKees Rocks, PA

We have served the Healthcare, Finance, Manufacturing and Software Development industries. Summary: As an Executive Assistant, you will provide essential administrative support reporting directly to ...

Compunetix is a leading manufacturer of sophisticated electronics, delivering the communication ... Compunetix is currently seeking an Account Executive to work in the area of technical sales for ...

Compunetix is a leading manufacturer of sophisticated electronics, delivering the communication ... Compunetix is currently seeking an Account Executive to work in the area of technical sales for ...

Description Compunetix is a leading manufacturer of sophisticated electronics, delivering the ... Compunetix is currently seeking an Account Executive to work in the area of technical sales for ...

Compunetix is a leading manufacturer of sophisticated electronics, delivering the communication ... Compunetix is currently seeking an Account Executive to work in the area of technical sales for ...

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Manufacturing Executive information

See McKees Rocks, PA salary details

$4

$25

How much do manufacturing executive jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for manufacturing executive in McKees Rocks, PA is $24.86, according to ZipRecruiter salary data. Most workers in this role earn between $24.62 and $25.10 per hour, depending on experience, location, and employer.

What is a manufacturing executive?

Manufacturing Executives are senior leaders responsible for overseeing and managing all aspects of manufacturing operations within an organization. Their duties typically include developing production strategies, ensuring product quality and safety, optimizing processes for efficiency, and managing budgets and resources. They work closely with other departments such as engineering, supply chain, and quality assurance to align manufacturing goals with overall business objectives. Additionally, Manufacturing Executives play a key role in implementing new technologies and maintaining compliance with industry regulations.

What does a manufacturing executive do?

As a manufacturing executive, you supervise and coordinate your employees to ensure clients are satisfied with your products. You simultaneously ensure equipment is maintained, and orders are being filled. Your responsibilities include the organization of safety, quality, and cost goals while maintaining optimum efficiency in manufacturing operations. You coordinate with the purchasing department to maintain proper inventory levels and determine the most effective ways to meet production quotas based on staffing and resources. Other duties include administering production schedules and performance expectations, and working with management to identify future production and sales targets. You are expected to put customer satisfaction and quality at the top of your priority list.

What are the key skills and qualifications needed to thrive as a manufacturing executive?

To thrive as a Manufacturing Executive, you need strong leadership abilities, deep knowledge of manufacturing processes, and a relevant degree such as engineering or business management. Familiarity with ERP systems, lean manufacturing methodologies, and certifications like Six Sigma or PMP are often required. Excellent strategic thinking, decision-making, and communication skills are essential for effective team leadership and cross-functional collaboration. These capabilities drive operational efficiency, innovation, and organizational growth in a competitive manufacturing environment.

What are some common challenges faced by manufacturing executives, and how can they be effectively addressed?

Manufacturing Executives often face challenges such as optimizing production efficiency, managing supply chain disruptions, and implementing new technologies while ensuring quality standards. Addressing these requires a proactive approach: investing in employee training, adopting lean manufacturing principles, and fostering strong communication across departments. Collaborating closely with operations, engineering, and quality teams enables executives to identify bottlenecks early and implement solutions that support both short-term productivity and long-term growth.

What is the difference between Manufacturing Executive vs Manufacturing Supervisor?

AspectManufacturing ExecutiveManufacturing Supervisor
CredentialsBachelor's degree in engineering, manufacturing, or related field; extensive industry experienceHigh school diploma or associate degree; experience in manufacturing roles
Work EnvironmentOffice setting with occasional plant visits; strategic planning focusFactory floor; overseeing daily operations
Employer & Industry UsageUsed in corporate leadership, manufacturing firms, and large plants

The Manufacturing Executive focuses on strategic planning, policy development, and overall manufacturing operations at a high level. In contrast, the Manufacturing Supervisor manages daily production activities, supervises staff, and ensures operational efficiency on the factory floor. Both roles are essential but differ in scope, responsibilities, and work environment.

What are the most commonly searched types of Manufacturing jobs in McKees Rocks, PA?

The most popular types of Manufacturing jobs in McKees Rocks, PA are:

What cities near McKees Rocks, PA are hiring for Manufacturing Executive jobs?

Cities near McKees Rocks, PA with the most Manufacturing Executive job openings:

Infographic showing various Manufacturing Executive job openings in McKees Rocks, PA as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, 3% Contract, and 2% Nights. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $51,706 per year, or $24.9 per hour.

Industrial Manufacturing Engineer

Tekskills Inc.

Pittsburgh, PA โ€ข On-site

$65K - $86K/yr

Other

Re-posted 22 days ago


Job description

Job Title: Industrial Manufacturing Engineer

Location: Pittsburgh, PA (Onsite)

Duration: 6-12 Months



Skills

:Capacity Planning, Industrial Manufacturing, Material Planning, Greenfield or brownfield project experience, Equipment planning, Labour planning, CAPEX management, PFMEA, Lean Manufacturing, Layout planning, Knowledge of AI-driven tool


s
Required Skill

  • s:Greenfield or brownfield project experience (good to hav
  • e)Equipment planni
  • ngCapacity planni
  • ngLabour planni
  • ngCAPEX management (good to hav
  • e)Supplier validati
  • onCapital investments โ€“ ROI, IRR, NPV, and cost-benefit analys
  • isDesign and maintain OEE mode
  • lsSupport factory ramp-up, installation, and operational readiness through model validation and performance tracki
  • ngMaterial planni
  • ngPFM
  • EALean Manufacturi
  • ngSix Sig
  • maLayout planning (good to hav
  • e)Simulation tools experience (not mandator
  • y)Strong expertise in Exc
  • elKnowledge of AI-driven tools (good to hav


e)
Job Descripti

  • on:The Industrial Engineering Analytics Engineer will lead the development and application of advanced analytical models to drive manufacturing efficiency, capacity planning, and c
  • ostoptimizati
  • on.This role is responsible for building and managing integrated IE models that connect capacity, labor, material flow, PFEP, and cost (COGS) to enable data-driven decision-making across factory and site operatio
  • ns.The ideal candidate will combine strong industrial engineering fundamentals with advanced analytics, simulation, business case development, and AI-driven systems to support large-scale manufacturing environmen


ts.
Role Overv

  • iew:The Industrial Engineering Analytics Engineer will lead the development and application of advanced analytical models to drive manufacturing efficiency, capacity planning, and cost optimizat
  • ion.This role is responsible for building and managing integrated IE models that connect capacity, labor, material flow, PFEP, and cost (COGS) to enable data-driven decision making across factory and site operations. The ideal candidate will combine strong industrial engineering fundamentals with advanced analytics, simulation, business case development, and AI-driven systems to support large-scale manufacturing environme


nts.
Key Responsibili

  • ties:Develop and own integrated IE models that connect capacity, labor, material flow, PFEP, and cost (COGS) to support factory planning and opera
  • tionsBuild and maintain capacity models (target vs. forecast vs. gated capacity), incorporating cycle time, OEE, yield losses, and bottleneck ana
  • lysisDevelop labor models to optimize headcount, utilization, and labor cost (LOH) across production sy
  • stemsCreate and evaluate business cases for capital investments, including ROI, IRR, NPV, and cost benefit ana
  • lysisLead COGS modeling, including labor, overhead, scrap, and process-driven cost compo
  • nentsDevelop and track scrap and yield models, quantifying cost impact and identifying improvement opportun
  • itiesDesign and maintain OEE models (availability, performance, quality) to drive operational efficiency and continuous improv
  • ementPerform buffer and WIP analysis to optimize inline and interline storage, reduce bottlenecks, and stabilize production
  • flowDevelop process flow diagrams (PFDs) and value stream maps to represent manufacturing systems and identify inefficie
  • nciesIntegrate PFEP (Plan for Every Part) data into models to optimize material flow, storage, and line-side delivery strat
  • egiesSupport factory layout, site planning, and material flow decisions through data-driven insights and mod
  • elingPerform scenario analysis and sensitivity studies to evaluate production strategies and capacity expansion
  • plansUtilize and/or develop factory simulation models (e.g., FlexSim, AnyLogic, Simio) to analyze throughput, bottlenecks, and system perfor
  • manceSupport factory ramp-up, installation, and operational readiness through model validation and performance tra
  • ckingCollaborate with cross-functional teams (Manufacturing, Operations, Supply Chain, Fin
  • ance,Engineering) to align models with real-world constraints and business
  • needsTranslate complex analytical outputs into clear, executive-level insights and recommenda
  • tionsCollaborate with MES and Controls teams to integrate shop-floor data with IE models, ensuring accurate OEE measurement and enabling real-time, scalable dashboards for operational visibility and executive decision-m


aking
AI & Data Sy

  • stems:Introduce and implement AI-driven tools and platforms to enhance industrial engineering analytics and decision-
  • makingDesign and manage scalable data models and data architecture for IE, capacity, labor, PFEP,and cost ana
  • lyticsDevelop standardized systems, frameworks, and governance for data modeling, analytics, and rep
  • ortingAutomate data collection, validation, and reporting pipelines using AI and advanced analytics
  • toolsEnable predictive analytics and intelligent decision-making for capacity, throughput, and cost optimi
  • zationEstablish best practices for data quality, model standardization, and system integration across the organi


zation
Basic Qualific

  • ations:Bachelor's degree in industrial engineering, Mechanical Engineering, Operations Research, or a related field 7+ years of experience in industrial engineering analytics, manufacturing modeling, or operations a
  • nalysisStrong understanding of manufacturing systems, capacity planning, and industrial engineering pri


nciples
Preferred Qualifi

  • cations:Experience building end-to-end IE models integrating capacity, labor, cost, PFEP, and mater
  • ial flowProficiency in capacity modeling, OEE analysis, cycle time studies, and line b
  • alancingHands-on experience with PFEP, material flow optimization, and warehouse int
  • egrationExperience with factory simulation tools (e.g., FlexSim, AnyLogic
  • , Simio)Strong experience in business case development (ROI, I
  • RR, NPV)Knowledge of COGS modeling, cost structures, and financial impact
  • analysisExperience with data analysis tools (Excel advanced modeling, Python, SQL, Power BI/Tableau, or
  • similar)Familiarity with AI/ML applications in manufacturing analytics (pr
  • eferred)Familiarity with lean manufacturing and continuous improvement metho


dologies
Key Skills & Comp

  • etencies:Strong analytical and problem-solving skills with a data-drive
  • n mindsetAbility to build scalable models and analytics systems that support both tactical and strategic
  • decisionsStrong communication skills to translate complex data into actionable
  • insightsAbility to work across cross-functional teams and influence decisi
  • on-makingAttention to detail with a systems-level understanding of manufacturing o
  • perationsAbility to manage multiple projects and priorities in a fast-paced en


vironment