Industrial Engineer

Siemens • Berkeley Lake, GA • 7h ago

Job Family: Electrical Products

Req ID: 527706

Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds. Improving how we live, work, and move today and for the next generation! We know that the only way a business thrive is if our people are thriving. That's why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you?

Transform the everyday with us

We are looking for an Industrial Project Engineer. This position will be based in Hingham, MA.

Responsibilities:

Cost Reduction Projects: Identify, lead, and implement cost-saving initiatives across various functions, using data-driven analysis and engineering methods to optimize processes and reduce operational costs.

Throughput Improvement: 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.

CAPEX Project Ownership: Oversee and manage capital expenditure (CAPEX) projects from initiation to completion, ensuring that projects are delivered on time, within budget, and in accordance with quality standards.

Lean Project Leadership: Lead and support the design and implementation of lean projects, including but not limited to value stream mapping, waste reduction, and continuous improvement activities to enhance productivity and efficiency across production lines.

Operational Excellence Program Rollout: Support and own the rollout of Siemens' Program across various departments. Ensure alignment to DMS practices for improved performance tracking, issue resolution, and continuous monitoring of operational metrics.

multi-functional Teamwork: Work closely with cross-functional teams including production, quality, logistics, and maintenance to implement standard methodologies in manufacturing and operations processes.

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

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 stay in sync with Siemens' health, safety, and environmental regulations, promoting a safe and compliant work environment.

You'll win us over by having the following qualifications:

Basic Qualifications

Bachelor's degree in Industrial engineering, Mechanical Engineering, or a related field.

Demonstrated experience in leading both CAPEX and OPEX projects, including financial management and resource allocation.

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

Solid understanding of lean manufacturing principles, Six Sigma, and process optimization techniques.

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

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

Preferred Qualifications

A master's degree is a plus.

Experience simulating manufacturing systems and processes

Experience with computer programming and/or database management

Practical experience training others on Engineering topics including Bill of materials, Engineering drawings, equipment and tooling usage and maintenance, and safety.

Ability to measure, design/specify and install production equipment

Proficiency in data collection and analysis

LI-CY1 #MFGHingham

$93K $127K

Organization: Smart Infrastructure

Job Type: Full-time

Category: Manufacturing

Go to Apply

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