Digital Solutions Engineer

Key Responsibilities

• Support industrial engineering activities across manual and semi-automatic fiber optics connector assembly lines, including time studies, capacity analysis, BOM structures and manufacturing cost modeling.
• Develop and maintain data solutions using Python, SQL, and Power BI to replace high-effort manual reporting and enable data-driven decision-making for the IE team.
• Build integrations and automation tools that connect enterprise systems — including SAP, Windchill (Product Lifecycle Management platform), and Excel-based cost models — to reduce redundant data entry and improve data accuracy.
• Design and deploy lightweight web applications or internal tools that simplify repetitive or high-complexity workflows currently requiring significant manual effort from IE technicians.
• Partner with IE technicians and process engineers to document current-state workflows, identify automation opportunities, and implement practical digital solutions.
• Apply AI tools and cloud-based data platforms (e.g., Databricks) to analyze manufacturing data and surface actionable insights for process improvement initiatives.
• Maintain data integrity across manufacturing cost models and support accurate cost reporting for engineering and operations stakeholders.
• Support manufacturing projects related to capacity, BOM accuracy, labor and costing changes
• Collaborates with Operations in Manufacturing Variance Analysis