Digital Transformation & Process Improvement Engineer

Siemens AG

Buffalo Grove (IL)

On-site

USD 70,000 - 119,000

Full time

3 days ago
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Job summary

Siemens AG in Buffalo Grove, IL is seeking a Continuous Improvement & Digital Transformation Engineer to lead business process improvements and digital initiatives. The role partners with Operations, Supply Chain, Quality, Finance, HR, Engineering, and Admin to streamline workflows and automate manual tasks.

You will build dashboards, drive data-driven decisions, and implement AI-enabled tools while promoting adoption and change management across the organization.

Qualifications

  • Bachelor's degree in a related field.
  • 3+ years in process improvement, digital transformation, PM, BI, or operational excellence.
  • Experience leading cross-functional projects and dashboards/data-driven solutions.
  • Experience with Power BI and data analysis tools.
  • Proficiency with Microsoft Office and workflow automation tools.

Responsibilities

  • Identify, lead, and implement business process improvements across departments.
  • Drive digitization and automation of manual processes using MS tools.
  • Design, develop, and maintain dashboards and reporting solutions.
  • Apply Agile project execution to digital transformation projects.
  • Coordinate with stakeholders and manage project governance and risks.

Skills

Analytical skills
Problem solving
Cross-functional collaboration
Effective communication

Education

Bachelor's degree in Industrial Engineering, Systems Engineering, Business Analytics, IT, CS, or related field

Tools

Power BI
Power Apps
Power Automate
SharePoint
Microsoft Forms
SQL and databases

Job description

Siemens AG in Buffalo Grove, IL is seeking a Continuous Improvement & Digital Transformation Engineer to lead business process improvements and digital initiatives. The role partners with Operations, Supply Chain, Quality, Finance, HR, Engineering, and Admin to streamline workflows and automate manual tasks.

You will build dashboards, drive data-driven decisions, and implement AI-enabled tools while promoting adoption and change management across the organization.

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