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Siemens · 2 weeks ago

Industrial Engineer - Operational Excellence

Grand Prairie, TX

Full-time

Onsite

Mid Level

3+ years exp

Siemens is a global technology company focused on industry, infrastructure, transport, and healthcare. They are looking for a proactive and results-oriented Industrial Engineer to oversee and drive critical projects aimed at cost reduction, throughput improvement, and operational excellence within the organization.

Artificial Intelligence (AI)ConsultingCyber SecurityInternet of Things

No H1B

Responsibilities

Cost Reduction Projects (PUMA):): Conduct time-and-motion studies, gather process data, and use mathematical modeling to support decision-making. Identify, lead, and implement cost-saving initiatives across various functions, using data-driven analysis, time studies and engineering methods to optimize processes and reduce operational costs

Quality Improvement Projects: Drive First pass yield, establish & enforce quality control procedures and standards by developing standard work

Throughput Improvement: Develop, test, and implement integrated systems involving people, materials, information, and machinery to streamline operations. Evaluate existing workflows and processes to identify bottlenecks and inefficiencies. Develop strategies and drive improvements to increase throughput and ensure more efficient use of resources

Lean Project Leadership: Lead and support the design and implementation of lean projects, including but not limited to value stream mapping, waste reduction, Kaizen events, implementing 5S programs, creating flow, sustaining standard work and continuous improvement activities to enhance productivity and efficiency across production lines

OpsEdge Rollout: Support and lead the rollout of Siemens' OpsEdge (OPEX) Program across various departments. Ensure adherence to DMS practices for improved performance tracking, issue resolution, and continuous monitoring of operational metrics

Cross-Functional Collaboration: Work closely with cross-functional teams including production, quality, logistics, and maintenance to implement & share best practices in manufacturing and operations processes

Data Analysis & Reporting: Create, build and use data analysis tools to assess operational performance, track key performance indicators (KPIs), and generate reports for management. Provide actionable insights to improve efficiency and support in data streaming projects

Training & Development: Provide coaching and mentoring to staff in lean methodologies, process optimization, and daily management practices. Facilitate workshops and training sessions as needed

Health, Safety, and Compliance: Ensure all projects comply with Siemens' health, safety, and environmental regulations, promoting a safe and compliant work environment & also assessing ergonomic safety design improvements

Qualification

Industrial EngineeringLean ManufacturingData AnalysisContinuous ImprovementSix SigmaDaily Management SystemsProject ManagementCoachingHealthSafety ComplianceMentoringCross-Functional Collaboration

Required

Bachelor's degree in industrial engineering, Mechanical Engineering, or a related field. A master's degree is a plus

Proven experience (3 - 5 years) in Industrial engineering, Project management, and Continuous improvement initiatives, preferably within manufacturing or large-scale operational environments

Ability to analyze work streams and create innovative ways of optimizing work by 'doing more with less' mindset

Strong knowledge of lean manufacturing principles, six sigma, and process optimization techniques

Experience with Daily Management Systems (DMS) implementation and optimization is desirable

Proficiency in data analysis/data streaming tools (e.g., Excel, Minitab, Power BI, SAP, Tableau) and process simulation tools

Legally authorized to work in the United States on a continual and permanent basis without company sponsorship

Preferred

Experience simulating manufacturing systems and processes

Experience with computer programming and/or database management

Practical experience training others on Engineering topics like reading blueprints, Bill of materials, Engineering drawings, equipment and tooling usage and maintenance, and safety

Proficiency in data collection and analysis

Ability to manage multiple projects simultaneously and prioritize tasks effectively