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Digital Transformation Expert

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 thrives 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!

The Electrical Products (EP) Business Unit offers a full range of low-voltage power distribution and control products that deliver safe, reliable, and efficient electrical solutions across residential, commercial, and industrial markets.

We are looking for a  Digital Transformation Expert to join our team. This position will be based at our Roebuck, SC location.

The Digital Transformation Expert drives digital transformation within manufacturing operations by identifying, implementing, and supporting technology solutions that improve productivity, quality, safety, and cost efficiency. This role collaborates across manufacturing, engineering, IT, automation, and business teams to develop innovative solutions leveraging automation, digitalization, data analytics, artificial intelligence, industrial networks, and manufacturing systems.

You’ll make an impact by:

  • Manufacturing Technology & Digitalization
    • Lead manufacturing technology and Industry 4.0 initiatives by identifying automation opportunities, eliminating inefficiencies, and designing, implementing, and supporting digital solutions for production, quality, maintenance, logistics, administrative functions, MES, shop floor applications, and industrial software platforms.
  • Systems Development & Integration
    • Develop and deploy applications using approved platforms while integrating ERP, MES, SCADA, IoT, databases, and cloud systems to ensure reliable data flow and collaborate with vendors, developers, and stakeholders to deliver effective solutions.
  • Data Analytics & AI
    • Create dashboards, KPIs, and reports; analyze production, quality, inventory, and workforce data to identify improvement opportunities; support AI, machine learning, predictive analytics, and intelligent automation initiatives; and promote data-driven decision-making across manufacturing operations.
  • Project Management
    • Manage technology projects from concept through implementation by defining scope, timelines, budgets, deliverables, and success metrics; coordinating cross-functional teams; and ensuring alignment with business objectives and company standards.
  • Operational Support
    • Provide technical support for manufacturing technologies and applications by troubleshooting system issues, coordinating corrective actions, developing procedures and training materials, and training end users to support successful technology adoption.
  • Continuous Improvement
    • Drive productivity, quality, cost, and process improvements through Lean Manufacturing and continuous improvement initiatives, benchmarking industry best practices and emerging technologies, and recommending innovative solutions to maintain competitive manufacturing operations.

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

Basic Qualifications:

  • Bachelor’s degree in manufacturing engineering, Industrial Engineering, Mechanical Engineering, Electrical Engineering, Computer Engineering, Information Technology, Computer Science, Engineering Technology, or a related technical discipline.
  • 3+ years of experience in manufacturing, engineering, automation, industrial IT, software development, or digital transformation.
  • Experience supporting manufacturing environments and implementing technology solutions from concept through deployment.
  • Experience with manufacturing systems, including MES, ERP, SCADA, or similar platforms, as well as industrial automation, industrial networking, and manufacturing technologies.
  • Experience with databases, SQL, API integrations, cloud-based solutions, and supporting software development, application deployment, or system integration initiatives.
  • Ability to analyze data and create reports, dashboards, and visualizations using Power BI or similar tools.
  • Proficiency with Microsoft Office Suite, including Excel, Word, PowerPoint, and Outlook.
  • Applicants must be legally authorized for employment in the United States without the need for current or future employer-sponsored work authorization.

Preferred Qualifications:

  • Experience with Mendix, low-code development platforms, or software application development.
  • Proficiency in programming languages such as Python, C#, JavaScript, or equivalent platforms.
  • Experience working with Snowflake, cloud data platforms, AWS, Azure, or other cloud-based technologies.
  • Knowledge of AI, machine learning, predictive analytics, industrial edge computing, and intelligent automation solutions.
  • Familiarity with industrial communication protocols, including OPC-UA, MQTT, Modbus, or similar technologies.
  • Experience with Microsoft Power Platform tools and Agile project management methodologies.

About Siemens:

We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids to sustainable transportation as well as advanced healthcare, we create technology with purpose adding real value for customers. Learn more about Siemens here .

Our Commitment to Equity and Inclusion in our Diverse Global Workforce:

We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us.

#MFGRoebuck #SiemensMFGcareer #LI-HH2

Vacancy posted 2 days ago

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