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# Manufacturing Data Architecture Lead

- **Company:** Lhi Group Ltd
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Salary:** $180,000.0 - $220,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Data Architecture, Information Engineering, Decision-Making Software, Middleware, Supervisory Control and Data Acquisition (SCADA), Machine Learning, Message Queuing Telemetry Transport (MQTT), Digital Twin, Data Management, Restful APIs, Meditech
- **Published:** August 11, 2026
- **Apply:** https://www.dice.com/job-detail/135d9b32-0b51-48cc-8c86-7eb3a5c8be76

## About the Role

* Demonstrable experience (5+ years) in a Industrial Analytics/Data Engineering role - ideally come from a regulated environment, such as Medical Devices, Pharma, Life Sciences, MedTech or BioTech
 * Good understanding of manufacturing systems & automation (PLCs, SCADA, MES, ERPs and historians)
 * Hands-on experience with industrial data platforms and protocols (MQTT, REST APIs, OPS UA, etc.)
 * Experience enabling or collaborating on AI/ML solutions for manufacturing, as well as time-series data analytics, visualization and alerting
 * Understanding of industrial cybersecurity principles and IT/OT security boundaries
 * Knowledge of predictive maintenance, reliability analytics, digital twin concepts, closed-loop optimization strategies and process optimization

## Description

This is a new position for the business and will be responsible for establishing global data standards and governance, enabling scalable analytics, AI/ML solutions and dashboarding. This role will be driving the development of insights, optimization and alert capabilities, as well as evaluating & deploying predictive maintenance, automated diagnostics and process control technologies. Other responsibilities include:

 * Define and lead the global OT data architecture strategy, standardizing industrial data platforms, protocols, middleware and reference architectures to enable secure, and reliable OT-to-IT/cloud data integration across global manufacturing sites
 * Lead the development and governance of global manufacturing data standards, asset models, hierarchies and contextualization frameworks to ensure consistent, high-quality and reusable data across sites, equipment, and process technologies
 * Drive the development of manufacturing analytics capabilities by enabling dashboards, alerting, anomaly detection and AI/ML-driven insights that improve operational performance and identify OEE optimization opportunities across diverse production environments
 * Support the development and scaling of advanced industrial analytics capabilities, including predictive maintenance, process optimization, digital twins and automated decision-making, while partnering with operations and controls teams to integrate analytics into manufacturing intelligence and control strategies


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