Data Visulalization Engineer - Advanced Engineering

Design, develop, and maintain standard dashboards that clearly communicate equipment status, process conditions, production progress, quality indicators, and constraints in a near real-time format

Translate plant operating needs into intuitive visual elements (e.g., status states, trends, thresholds, alerts, control limits, and “at-a-glance” health indicators)

Partners with operations leaders and subject matter experts to define standard visualization patterns (e.g., common layouts, naming, color conventions, alarm prioritization, and KPI definitions) to drive consistent interpretation across manufacturing lines and shifts

Implement visual management tools for daily management routines (shift handoff, tier meetings, performance boards, escalation cues, action tracking)

Build and support standardized reporting and visualization for KPIs such as OEE components, throughput, downtime categorization, yield/scrap, rework, cycle time, schedule attainment, and other plant-defined metrics Operators (simple, actionable, immediate) Supervisors/engineers (trends, comparisons, Pareto views, drill-down)

Operators (simple, actionable, immediate)

Supervisors/engineers (trends, comparisons, Pareto views, drill-down)

Collaborate on visualization design such that existing best practices are reused

Develop reusable visualization components and templates so new areas/lines can be enabled quickly with minimal custom development

Develop and maintain data access utilities and curated interfaces (e.g., standardized queries, semantic layers, pre-defined extracts, governed KPI definitions) that allow users to retrieve the right information without needing deep technical skills

Collaborate with data engineering / OT / IT resources to ensure visualization tools are built on trusted, governed data sources while minimizing duplication or manual workarounds

Provide documentation, training, and user guidance to support adoption and sustained use of visualization tools

Ensure dashboards and visualization tools are reliable, performant, and maintainable (version control, change management, release notes)