Urgently required:: Manufacturing Engineer//Industrial Engineering Analytics Engineer _ Pittsburgh, PA(Onsite)-Long-Term Contract

[Vasu Naidu]

Hello ,

Greetings for the day.

I am trying to reach you for the below position .Please let me know your interest in taking the new positions or else please refer your colleagues or friends who are looking for a job change.

Position:1

Role: Manufacturing Engineer 
Location: Pittsburgh, PA(Onsite)

Duration: Long-Term Contract

Role Overview:
The Manufacturing Engineer will be responsible for developing, validating, and launching manufacturing processes for a large-scale greenfield manufacturing facility. This role supports the end-to-end industrialization journey from early process planning through equipment installation, commissioning, production ramp-up, and operational handovers.
The role focuses on translating products, process, quality, safety, capacity, and business requirements into capable, repeatable, scalable, and efficient manufacturing systems. The ideal candidate will combine strong manufacturing engineering fundamentals, hands-on shop-floor experience, and cross-functional leadership to support large-scale factory launch and ramp-up.

Key Responsibilities:
• Lead manufacturing process development from concept planning through production launch and ramp-up.
• Define production line requirements, workstation concepts, tooling and fixture needs, equipment interfaces, labor assumptions, process flows, and manufacturing documentation.
• Develop and maintain work instructions, SOPs, process flow diagrams, routings, standardized work, cycle time studies, production checks, and launch readiness checklists.
• Partner with Product Engineering, Operations, Quality, Equipment Engineering, Controls Engineering, Industrial Engineering, Layout Engineering, Supply Chain, Facilities, Construction, EHS, and Maintenance teams to integrate manufacturing requirements into the overall plant design.
• Provide manufacturing inputs to factory master planning, including line layout, equipment placement, operator movement, material presentation, utility needs, ergonomics, safety, maintainability, and scalability.
• Participate in design reviews and provide DFM/DFA feedback to improve manufacturability, assembly efficiency, serviceability, quality, and cost.
• Define workstation-level requirements, including assembly sequence, operator interface, torque strategy, fastening methods, error-proofing, gauges, lifting devices, tools, jigs, fixtures, and production aids.
• Support PFMEA, control plans, APQP/PPAP inputs, process validation, production trials, process audits, run-at-rate, launch readiness reviews, and production handover activities.
• Lead station readiness, tooling readiness, equipment readiness, manpower readiness, material readiness, process documentation readiness, and quality readiness for new production lines.
• Collaborate with Layout and Industrial Engineering teams to optimize line balance, operator movement, station design, material presentation, line-side storage, capacity, and production flow.
• Work with Equipment and Controls Engineering teams to ensure equipment, fixtures, automation, sensors, HMI, safety systems, and process controls meet manufacturing requirements.
• Support PFEP integration into manufacturing processes, including packaging strategy, sequencing, replenishment, point-of-use storage, line-side delivery, warehouse interfaces, and internal logistics.
• Support equipment installation, commissioning, debug, process validation, run-at-rate, ramp-up stabilization, and transition to stable operations.
• Analyze production performance using OEE, cycle time, downtime, yield, scrap, rework, labor utilization, first-time quality, defect trends, and throughput data.
• Lead root-cause analysis and corrective actions for issues related to process capability, line stoppages, quality defects, rework, scrap, ergonomics, equipment interaction, material flow, or operator efficiency.
• Drive continuous improvement and cost reduction initiatives using lean manufacturing, Kaizen, 5S, VSM, SMED, Poka-Yoke, standardized work, waste elimination, and structured problem-solving methods.
• Evaluate supplier manufacturing feasibility and provide technical inputs for outsourced parts, tooling, fixtures, equipment, and production readiness as required.

Basic Qualifications:
• Bachelor’s degree in manufacturing engineering, Mechanical Engineering, Industrial Engineering, Production Engineering, or related field.
• 7+ years of experience in manufacturing engineering, production launch, process development, industrialization, or manufacturing operations support.
• Experience in large-scale manufacturing environments such as automotive, battery, energy, heavy equipment, aerospace, industrial equipment, or high-volume discrete manufacturing.
• Strong understanding of manufacturing processes, production systems, tooling, fixtures, workstations, process documentation, and shop-floor execution.
• Experience working with cross-functional teams across engineering, operations, quality, supply chain, equipment, controls, facilities, and EHS.

Preferred Qualifications:
• Experience supporting greenfield manufacturing facility development, large-scale plant launch, or major capacity expansion programs.
• Hands-on experience with production line launch, equipment installation, commissioning, run-at-rate, ramp-up stabilization, and operational handover.
• Strong knowledge of manufacturing processes such as machining, fabrication, welding, sheet metal, assembly, testing, surface treatment, painting/coating, and finishing.
• Good understanding of engineering drawings, GD&T, tolerance stack-up, BOM structure, material specifications, and manufacturing feasibility assessment.
• Experience with PFMEA, control plans, APQP, PPAP, SPC, MSA, CAPA, 8D, process validation, production trials, process audits, and readiness reviews.
• Strong knowledge of OEE, cycle time, takt time, line balancing, bottleneck analysis, yield improvement, scrap reduction, cost reduction, and throughput improvement.
• Experience with PFEP, material flow, line-side delivery, packaging, sequencing, warehouse interfaces, and internal logistics.
• Familiarity with MES, SCADA, Andon, OEE dashboards, traceability, ERP, PLM, SAP, Teamcenter, and manufacturing documentation control.
• Familiarity with lean manufacturing, continuous improvement, root-cause analysis, 5 Why, Fishbone, Pareto, 5S, standardized work, visual management, and structured problem-solving.

Key Skills & Competencies:
• Strong manufacturing process development and production launch capability.
• Hands-on shop-floor mindset with the ability to translate engineering requirements into practical production solutions.
• Ability to manage complex, cross-functional manufacturing issues from planning through execution.
• Strong analytical and data-driven decision-making skills.
• Excellent communication skills with the ability to influence stakeholders from shop floor to executive leadership.
• Strong ownership mindset with focus on safety, quality, delivery, cost, productivity, and scalability.
• Systems-thinking mindset with strong attention to detail.
• Ability to work in a fast-paced, high-growth environment with multiple priorities, evolving requirements, and aggressive launch timelines.

Position:2

Job Title: Industrial Engineering Analytics Engineer (Manufacturing Systems & Modeling)

Location: Pittsburgh, PA (Onsite)         

Positions: 2

 

Required Skills:

1. Greenfield or brownfield project experience (good to have)
2. Equipment planning
3. Capacity planning
4. Labour planning
5. CAPEX management (good to have)
6. Supplier validation
7. Capital investments – ROI, IRR, NPV, and cost-benefit analysis
8. Design and maintain OEE models
9. Support factory ramp-up, installation, and operational readiness through model validation and performance tracking
10. Material planning
11. PFMEA
12. Lean Manufacturing
13. Six Sigma
14. Layout planning (good to have)
15. Simulation tools experience (not mandatory)
16. Strong expertise in Excel
17. Knowledge of AI-driven tools (good to have)

 

JD:

The Industrial Engineering Analytics Engineer will lead the development and application of advanced analytical models to drive manufacturing efficiency, capacity planning, and cost
optimization.

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 decisionmaking 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 environments.

 

Role Overview:

·        The Industrial Engineering Analytics Engineer will lead the development and application of advanced analytical models to drive manufacturing efficiency, capacity planning, and cost optimization.

·        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 environments.

 

Key Responsibilities

·        Develop and own integrated IE models that connect capacity, labor, material flow, PFEP, and cost (COGS) to support factory planning and operations

·        Build and maintain capacity models (target vs. forecast vs. gated capacity), incorporating cycle time, OEE, yield losses, and bottleneck analysis

·        Develop labor models to optimize headcount, utilization, and labor cost (LOH) across production systems

·        Create and evaluate business cases for capital investments, including ROI, IRR, NPV, and cost benefit analysis

·        Lead COGS modeling, including labor, overhead, scrap, and process-driven cost components

·        Develop and track scrap and yield models, quantifying cost impact and identifying improvement opportunities

·        Design and maintain OEE models (availability, performance, quality) to drive operational efficiency and continuous improvement

·        Perform buffer and WIP analysis to optimize inline and interline storage, reduce bottlenecks, and stabilize production flow

·        Develop process flow diagrams (PFDs) and value stream maps to represent manufacturing systems and identify inefficiencies

·        Integrate PFEP (Plan for Every Part) data into models to optimize material flow, storage, and line-side delivery strategies

·        Support factory layout, site planning, and material flow decisions through data-driven insights and modeling

·        Perform scenario analysis and sensitivity studies to evaluate production strategies and capacity expansion plans

·        Utilize and/or develop factory simulation models (e.g., FlexSim, AnyLogic, Simio) to analyze throughput, bottlenecks, and system performance

·        Support factory ramp-up, installation, and operational readiness through model validation and performance tracking

·        Collaborate with cross-functional teams (Manufacturing, Operations, Supply Chain, Finance,

·        Engineering) to align models with real-world constraints and business needs

·        Translate complex analytical outputs into clear, executive-level insights and recommendations

·        Collaborate 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-making

 

AI & Data Systems

·        Introduce and implement AI-driven tools and platforms to enhance industrial engineering analytics and decision-making

·        Design and manage scalable data models and data architecture for IE, capacity, labor, PFEP,and cost analytics

·        Develop standardized systems, frameworks, and governance for data modeling, analytics, and reporting

·        Automate data collection, validation, and reporting pipelines using AI and advanced analytics tools

·        Enable predictive analytics and intelligent decision-making for capacity, throughput, and cost optimization

·        Establish best practices for data quality, model standardization, and system integration across the organization

 

Basic Qualifications

·        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 analysis

·        Strong understanding of manufacturing systems, capacity planning, and industrial engineering principles

 

Preferred Qualifications

·        Experience building end-to-end IE models integrating capacity, labor, cost, PFEP, and material flow

·        Proficiency in capacity modeling, OEE analysis, cycle time studies, and line balancing

·        Hands-on experience with PFEP, material flow optimization, and warehouse integration

·        Experience with factory simulation tools (e.g., FlexSim, AnyLogic, Simio)

·        Strong experience in business case development (ROI, IRR, NPV)

·        Knowledge of COGS modeling, cost structures, and financial impact analysis

·        Experience with data analysis tools (Excel advanced modeling, Python, SQL, Power BI/Tableau, or similar)

·        Familiarity with AI/ML applications in manufacturing analytics (preferred)

·        Familiarity with lean manufacturing and continuous improvement methodologies

 

Key Skills & Competencies

·        Strong analytical and problem-solving skills with a data-driven mindset

·        Ability to build scalable models and analytics systems that support both tactical and strategic decisions

·        Strong communication skills to translate complex data into actionable insights

·        Ability to work across cross-functional teams and influence decision-making

·        Attention to detail with a systems-level understanding of manufacturing operations

Ability to manage multiple projects and priorities in a fast-paced environment

Thanks & Regards,

Vasu.K

US IT Recruiter

Email: va...@atvsllc.com

DISCLAIMER: This email and any files transmitted with this email are confidential and intended solely for the use of the recipient to whom they are addressed. If you are not the intended recipient you are notified that disclosing, copying, distributing or taking any action in reliance on the contents of this mail and attached file/s is strictly prohibited. You are also advised to notify the sender immediately by e-mail if you have received this e-mail by mistake and delete this e-mail from your system.

 

This e-mail message including attachment(s), if any, is believed to be free of any virus.  However, it is the responsibility of the recipient to ensure that is virus free and American Tech Vision Solutions is not responsible for any loss or damage arising in any way from its use.