Lead IT/OT Solution Architect_FTE_NJ

ZigBee, Virtual reality, Solution architecture, SNMP, SCADA, Reporting, Consulting, Business intelligence, Business process, DCS, ETL, IT, Integration, IoT, MQTT, Machine learning, Monitoring, Process manufacturing, Production, Service delivery, Software, PTC, QA, Artificial intelligence, Computer vision, Automation, Analytics, Microsoft Windows Azure, Control engineering, Jersey, Leadership, Manufacturing, Siemens, Thought leadership, Use cases, Security, MES, HMI
Full Time
$160,000 - $200,000

Job Description

Lead IT/OT Solution Architect (15-18 years)
Job Location: New Jersey
• Responsible for architecting, designing and deploying OT applications & IoT solutions for device monitoring, device management, device security and device maintenance (preventive, condition-based, predictive)
• Demonstrate thought leadership on Connected Enterprise practice (Connected assets/worker/plants/factory solutions, Industry 4.0, IIOT platforms, MES, AR/VR/MR solutions) and present strong value proposition to win the deals
• Drives Innovations, Identifies potential opportunity/use cases for revenue generation.
• Work closely with 3rd party vendors in developing, reviewing and implementing new solution approaches and/or skills to service delivery.

• 10+ years of Industrial automation experience especially in Operational Technology, IT/OT Integration, Industry 4.0 solutions, digital twins, edge computing and working with key industrial automation product vendors
• Excellent understanding of business processes across discrete and process manufacturing and / or O&G domain
• Should have subject matter expertise in leading Digital manufacturing consulting workshops, Industry 4.0 maturity assessments, MES solutions (Viz Apriso, Rockwell, Siemens, Ignition), OT technologies (Historians, SCADA/HMI/DCS), implementing IIOT solutions (using Viz PTC ThingWorx, Azure IOT) across production, maintenance, quality, safety, connected machines and workers
• Understanding in various I/O, edge gateways, communication protocols (viz SNMP, MQTT, Zigbee) various data ETL (Extract, Transform, Load), equipment controls engineering, integration of automation and non-automated stand-alone machine
• Good understanding of data strategies to apply in managing IoT-based solutions like data ingestion, data lake, BI reporting and Analytics
• Understanding of advanced analytic techniques such as machine learning models, artificial intelligence, computer vision, and the application of these analytic approaches to industrial software solutions.

Dice Id : 90987828
Position Id : 7277351
Originally Posted : 7 months ago
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