Sr. Principle Global Industrial Analytics Engineer
Fort Worth - Main, United States
USD 114K-171K (estimate) Senior-level Full Time
Tasks
- Assess and create predictive maintenance capabilities
- Create naming conventions and contextualization frameworks
- Define OT data architecture strategy
- Deploy AI ML models for manufacturing use cases
- Develop dashboards trending alerting anomaly detection
- Develop global data models and asset hierarchies
- Develop roadmap for advanced manufacturing intelligence capabilities
- Enable analytics enablement layers
- Enforce data governance and consistency
- Establish reference architectures
- Govern OT to IT and cloud data movement
- Identify OEE improvement opportunities
- Integrate analytics outputs into control strategies
- Mentor engineers and influence technical direction
- Select industrial data platforms and protocols
- Serve as global technical authority
- Support process optimization and digital twins
- Translate manufacturing pain points into insights
Perks/Benefits
Skills/Tech-stack
AWS | Artificial Intelligence | Azure | Closed Loop | Closed loop control | Data Governance | Data Lakes | Data Modeling | Data Pipelines | Data contextualization | Digital Twin | ERP | GCP | Historian | Industrial Cybersecurity | Industrial Edge | Loop Control | MES | Machine Learning | Mqtt | OPC UA | PLC | Predictive Maintenance | Process optimization | REST API | Reliability Analytics | SCADA | Streaming | Time Series | Time series analytics
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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