Manufacturing Digital Solutions EngineerWe are looking for a Manufacturing Digital Solutions Engineer. This position will be based in Wendell, NC.You'll make an impact by:- Partnering with manufacturing, operations, and business stakeholders to identify digitalization opportunities, operational challenges, and high-value improvement initiatives.
- Facilitating workshops and discovery sessions within our US manufacturing network to translate business needs into clear technical requirements, success metrics, acceptance criteria, and pilot objectives.
- Developing data analyses, dashboards, visualizations, and operational alerts that transform manufacturing data into actionable business insights.
- Building and testing prototypes, including low-code and web-based solutions, to rapidly validate ideas and gather user feedback.
- Acting as a bridge between business stakeholders and technical teams, including automation, Industrial IoT, software, and data engineering resources.
- Defining key performance indicators (KPIs) and reporting solutions that improve operational visibility, productivity, quality, and decision-making.
- Coordinating pilot implementations and proof-of-concept initiatives while ensuring alignment between user expectations and technical capabilities.
- Supporting solution validation, usability testing, user adoption, and continuous improvement based on stakeholder feedback.
- Creating clear requirements documentation, process flows, solution specifications, training materials, and implementation guides.
- Supporting the deployment and reuse of successful digital solutions across multiple manufacturing sites.
You'll win us over by having the following qualifications:Basic Qualifications:- Bachelor's degree in Engineering, Information Systems, Computer Science, Industrial Engineering, Operations Management, Business Analytics, or a related field; equivalent practical experience will also be considered.
- 3+ years of experience gathering business requirements and translating operational needs into technology-enabled solutions.
- Experience facilitating stakeholder discussions, workshops, and requirements-gathering sessions with both technical and non-technical audiences.
- Hands-on experience with data analysis, business intelligence, dashboard development, reporting tools, and operational alerting solutions.
- Demonstrated ability to convert business questions into practical, scalable, and user-friendly digital solutions.
- Experience defining KPIs, business metrics, acceptance criteria, and solution success measures.
- Willingness and ability to travel up to 20% to support U.S. manufacturing facilities.
- Legally authorized to work in the United States on a continual and permanent basis without company sponsorship.
Preferred Qualifications:- 5+ years of experience in manufacturing digitalization, business intelligence, operational technology, or related industrial environments.
- Experience with rapid application development, low-code platforms, or web-based prototyping tools.
- Experience developing dashboards and visual analytics using modern business intelligence platforms.
- Familiarity with manufacturing KPIs, operational excellence metrics, product traceability, and production-information flows.
- Strong communication, presentation, documentation, and stakeholder management skills.
- Ability to work effectively across manufacturing, operations, engineering, and information technology teams.
- Experience supporting pilot projects, proof-of-concepts, or solution validation initiatives.
- Experience supporting Industrial IoT, manufacturing analytics, or digital transformation initiatives.
- Knowledge of data modeling, data visualization best practices, and user-centered solution design.
You'll Benefit FromSiemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.html
The pay range for this position is $102,459 - $175,644 annually with a target incentive of 10% of the base salary. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location.
