Responsibilities

AI Opportunity Identification:

• Analyze manufacturing workflows and operational data to uncover areas where AI can drive efficiency, reduce waste, and improve quality.
• Collaborate with cross-functional teams to prioritize AI use cases based on business impact and feasibility.
• Conduct feasibility studies and ROI assessments for AI initiatives.                                                                                                                                                          

Requirements Gathering & Translation:

• Work closely with area Managers, Engineers, and IT teams to gather detailed business requirements.
• Translate operational needs into clear, actionable specifications and Business requirements for data science and development teams.    

AI Solution Design & Implementation

• Partner with data scientists and engineers to develop and deploy AI models (e.g., predictive maintenance, defect detection, demand forecasting).
• Ensure AI solutions integrate with MES, ERP, and other Mfg. systems.
• Support the development of data pipelines and ensure data integrity for model training and inference.                                                                                                      

Stakeholder Engagement

• Act as a liaison between plant personnel and technical teams.
• Present findings and recommendations in a clear, business-friendly manner.
• Provide training and support on AI tools and dashboards.                                                                                                                                                                              

    Standardization & Scalability:

• Develop frameworks and templates to standardize AI solutions across multiple manufacturing sites.
• Promote best practices for AI deployment, monitoring, and continuous improvement.                                                                                                                              

Project Management

• Lead AI-related projects from concept to deployment.
• Track milestones, manage risks, and ensure timely delivery.
• Document lessons learned and contribute to AI best practices.

Required Experience

• Bachelor Degree: Computer Systems Engineering, Industrial Engineering, Computer Science or related. 

• 3+ years in business analysis or operations analytics, preferably in a mfg. environment.                             

• Hands-on experience with AI/ML projects (e.g., computer vision, predictive analytics).                                

• Familiarity with mfg systems (MES, SCADA, ERP) and data platforms (SQL, Power BI).                                

• Experience with process mapping, root cause analysis, and continuous improvement, methodologies (e.g., Lean, Six Sigma).                                

Knowledge / Skills / Abilities

• English 80%

• JIRA, Phyton, Azure machine learning, SQL, Power BI, Office Windows: Word, Excel, Power Point, Visio. 

• Development tools. Visual Studio .NET core is a a plus.

• RPA tools, SCADA systems, MES (Mfg. execution Systems)