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Technology Lead - Manufacturing Plant

Job in Fort Worth, Tarrant County, Texas, 76102, USA
Listing for: Siemens
Full Time position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    Systems Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

** Job Family:
** Electrical Products

** Req :
** 521389

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
** Change & Technology Lead
** has primary responsibility for planning and executing the full Technology and Change agenda for a single manufacturing plant in
** Alliance, Texas
** plant. This role drives digitalization, automation, data strategy, artificial intelligence, and robotics, ensuring technology is tightly integrated with lean manufacturing operations, business strategy and vision, and delivers measurable business impact. This position is also accountable for building the organizational structure, and team required to sustain and scale digital and automation capabilities at the plant level.

** You will make an impact by:**
  • Document new technology requirements and execute the site technology solutions aligned with plant and business objectives.
  • Lead structured change management to ensure adoption of new technologies and ways of working.
  • Lead digitalization initiatives including MES, connected equipment, digital workflows, and shopfloor IT systems.
  • Implement the business’ data strategy, including data governance, platforms, analytics, and reporting.
  • Enable the use of advanced analytics and artificial intelligence to improve quality, throughput, predictive maintenance, and decision making.
  • Design and build the organizational structure required to support automation, data analytics and digital manufacturing.
  • Establish governance, prioritization, and performance tracking for the automation and digitalization portfolio.
  • Partner closely with Operations, Engineering, Quality, IT, and Supply Chain to embed technology into daily operations.
  • Manage budgets, vendors, and external partners related to technology and automation programs.
  • Serve as the escalation point for complex technical, organizational, or change related challenges.
** You’ll win us over by having the following qualifications:*
* *
* Basic Qualifications:

**
  • Bachelor’s degree in Engineering, Computer Science, Mechatronics, or a related technical field;
    Master’s degree preferred.
  • 7+ years of experience in executing manufacturing technologies, automation, or industrial IT.
  • Strong understanding of automation systems, robotics, and digital manufacturing architectures.
  • Working knowledge of network fundamentals (e.g. subnet, vlan, routing, dhcp, etc.)
  • Proven ability to lead changes and influence across functions in a manufacturing setting.
  • Experience building, developing, and leading technical teams.
  • Excellent communication skills, with the ability to translate technical topics for non-technical audiences.
  • Legally authorized to work in the United States on a continual and permanent basis without company sponsorship.
*
* Preferred Qualifications:

**
  • Experience deploying MES, IIoT, or smart factory solutions.
  • Experience programming PLCs
  • Hands on experience with AI / advanced analytics use cases in manufacturing.
  • Experience scaling pilots into standardized, repeatable solutions.
  • Background in Lean Manufacturing or Operational Excellence.
  • Experience working with communication protocols (e.g OPC/UA, IP, BACnet MS/TP, Modbus TCP, RS-485, and RS-232, etc.)
  • Experience defining and executing data and analytics strategies in an operational environment.
  • Experience working in greenfield,…
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