обновлено 14 дней назад
Manufacturing Data & Digitalization Analyst (AI/Low-Code)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Manufacturing Data & Digitalization Analyst (AI/Low-Code): Designing AI-enabled digital ecosystems, low-code applications, dashboards, automations, and workflows for manufacturing operations with an accent on AI integration, industrial data pipelines, and systems integration. Focus on enabling citizen developers, integrating SAP/ERP, MES, IoT, APIs, and manufacturing data sources, and ensuring cybersecurity, compliance, and data integrity.
Location: Onsite in Juarez, Mexico, with work across different plants in the same location
Salary schedule: P2
Company
develops automotive, lifestyle, and digital transformation technologies, including connected vehicle platforms, audio systems, and industrial technology solutions.
What you will do
- Design and maintain scalable AI-enabled digital ecosystems for manufacturing operations.
- Develop governance, standards, and architectures for low-code and AI solutions.
- Enable business functions to build applications, dashboards, automations, and workflows.
- Coach and train citizen developers while providing technical guidance.
- Identify and implement AI, automation, analytics, and rapid-prototyping opportunities.
- Collaborate with Manufacturing, Quality, Supply Chain, Engineering, and Operations teams while ensuring cybersecurity, compliance, and data integrity.
Requirements
- Bachelor’s degree in Engineering, Computer Science, Information Technology, or a related field.
- At least 2 years of experience with manufacturing processes and shopfloor systems improvement.
- Experience with Microsoft Power Platform, Mendix, or similar low-code/no-code platforms.
- Knowledge of AI, machine learning, automation, digital transformation, predictive quality, predictive maintenance, and production optimization.
- Experience integrating systems, databases, APIs, middleware, SAP/ERP, MES, IoT, and industrial data sources.
- Strong communication, stakeholder management, data analytics, visualization, data governance, and OT cybersecurity skills.
Nice to have
- Experience with AI agents, copilots, machine learning applications, and industrial AI use cases.
- Knowledge of quality systems such as QMS and FMEA.
- Knowledge of Lean Manufacturing, TPS, Industry 4.0, and supply chain fundamentals.
- Experience leading citizen development or digital enablement programs.
Culture & Benefits
- Permanent, full-time employment with a flexible work environment where remote work may be available for roles that can be performed away from or customer locations.
- Training through University, tuition reimbursement, and continuing education opportunities.
- Wellness benefits and employee discounts on and Samsung products.
- Inclusive environment supporting professional development and employee recognition.
Hiring process
- Employment is conditional on successful criminal background and drug screening.
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