Project Manager

Tech Mahindra; Houston (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

Tech Mahindra in Houston, TX is seeking an experienced Plant Maintenance & Reliability Engineer to improve asset performance across a highly automated manufacturing facility. You will integrate mechanical, electrical, controls, automation and reliability disciplines to shift from reactive to predictive maintenance.

The role collaborates with Production, Maintenance, Process Engineering, Quality, EHS, IT/OT and equipment suppliers to advance digital manufacturing and data-driven maintenance

Qualifications

• Bachelor's degree in mechanical, electrical, or related engineering.
• 5+ years of experience in manufacturing maintenance, reliability, plant engineering or industrial automation.
• Experience reading mechanical drawings, electrical schematics and P&IDs.
• Working knowledge of CMMS systems.
• Strong analytical and problem solving skills.

Responsibilities

• Asset Reliability & Maintenance Strategy
• Manufacturing Equipment Reliability
• Electrical, Controls & Automation
• Predictive & Condition Based Maintenance
• CMMS & Maintenance Data
• Maintenance Planning & Execution
• OT / Digital Manufacturing

Skills

Analytical problem solving

Reading drawings & P&IDs

Team collaboration

Education

Bachelor's degree in mechanical, electrical, or related engineering

Tools

CMMS

Job description

Project Manager Plant Engineering

Location: Houston, Texas

Function: Manufacturing Engineering / Maintenance & Reliability

Reports to: Plant Engineering / Maintenance Manager

Work Arrangement: On site

Position Summary: We are seeking an experienced Plant Maintenance & Reliability Engineer to improve the reliability, availability, maintainability and performance of manufacturing and utility assets at our Angleton, Texas manufacturing facility.

The facility manufactures powder coatings for metals, rebar, pipelines and other corrosion resistant applications. The role will support a highly automated manufacturing environment involving process equipment, material handling systems, motors, drives, pumps, conveyors, extruders, valves, hydraulic/pneumatic systems, electrical systems and industrial control systems.

The successful candidate will combine mechanical, electrical, controls, automation and reliability engineering to transition the plant from reactive maintenance toward a data driven, predictive and condition based maintenance culture.

This position will work closely with Production, Maintenance, Process Engineering, Quality, EHS, IT/OT and equipment suppliers

Key Responsibilities:

• Asset Reliability & Maintenance Strategy
• Manufacturing Equipment Reliability
  • Provide engineering support for equipment including:
  • Develop equipment specific maintenance strategies, inspection standards, spare parts strategies and failure prevention plans.
• Electrical, Controls & Automation
• Work closely with controls and maintenance personnel to troubleshoot and improve industrial automation systems.
• Predictive & Condition Based Maintenance
  • Identify critical assets suitable for online condition monitoring and IIoT enabled predictive maintenance.
• CMMS & Maintenance Data
  • Establish effective equipment hierarchies and asset master data within the CMMS.
  • Improve preventive maintenance plans and job plans.
• Maintenance Planning & Execution
  • Partner with Maintenance Supervisors and Technicians to plan corrective and preventive work.
• OT / Digital Manufacturing
  • Partner with Plant IT/OT and Automation Engineering to advance the plant's digital manufacturing capabilities.
  • Identify practical opportunities to use plant data to predict failures rather than react to them.

Required Skills:

• Bachelor s degree in mechanical engineering, Electrical Engineering, Mechatronics, Industrial Engineering, Controls Engineering or a related engineering discipline.
• 5+ years of experience in manufacturing maintenance, reliability, plant engineering or industrial automation.
• Experience reading mechanical drawings, electrical schematics and P&IDs.
• Working knowledge of CMMS systems.
• Strong analytical and problem solving skills.