DescriptionThe Manager Engineering Management will serve as the strategic leader connecting Operational Technology (OT) and Information Technology (IT) within Vertivs Global Technology Ecosystem. This role owns the architecture governance and execution of the endtoend manufacturing data journey across Vertivs global operations.
As a key driver of Vertivs digital and engineering transformation this leader will guide the evolution of connected factory environments ensuring the development of scalable standardized and highly reliable engineering and manufacturing data models. The Manager will champion the integration of systems automation platforms and data sources to accelerate engineering excellence operational efficiency and AIenabled decision-making across the global footprint.
1. Industrial Edge & Connectivity Architecture
- Edge Orchestration: Deploy industrial edge computing strategies as well as Large Video Modeling using Linux-based gateways and Docker containerization to run ingestion logic at the plant level.
- Ignition Modules: Tag Historian Transaction Groups Alarm Notification Pipelines and Named Queries
- Programming: Python SQL C# VBScript PowerShell PowerApps Agent & Bot creation
- Databases: MS SQL Server (Stored Procedures Views Indexing) MySQL Azure SQL
- Protocols: OPC UA/DA MQTT Sparkplug B Modbus TCP/IP Transcoder Profinet EtherNet/IP
- DevOps: Azure DevOps (YAML Pipelines Repos Boards) GitHub Bitbucket CI/CD Automation
- Secure Networking: Partner with IT to implement robust TCP/IP Transcoder and VLAN segmentation strategies ensuring secure data extraction across the overall Model without impacting production uptime.
2. Data Engineering & Modeling
- Modern Data Stack Leadership: Drive Standardize structures to create Golden Tables (Snowflake/BigQuery/AWS) ensuring a single source of truth for manufacturing KPIs like OEE and OOE.
- AWS Ecosystem Management: Leverage AWS partner solutions (e.g. EasyEdge CloudRail Edge2Web) to accelerate sensor-to-Open API onboarding and real-time visualization.
- Pipeline Reliability: Implement software engineering best practices including version control (Git) CI/CD and rigorous data quality testing for high-frequency industrial data.
- Strategic Alignment: Translate complex factory floor challenges into data initiatives that support global initiatives and operational excellence.
- Experience: 2 plus; years in Data Engineering Analytics or Industrial Automation.
- Domain Knowledge: Proven track record in a manufacturing environment (discrete or process) with an understanding of MES and ERP integration.
- Systems Thinking: Ability to navigate the complexities of IT/OT convergence and the security requirements of a global manufacturing footprint.
- Experience with Digital Twin concepts and Discrete Event Simulation.
- Familiarity with AI/ML deployment at the edge.
- Experience supporting global initiatives within a large-scale manufacturing organization
Required Experience:
Manager
DescriptionThe Manager Engineering Management will serve as the strategic leader connecting Operational Technology (OT) and Information Technology (IT) within Vertivs Global Technology Ecosystem. This role owns the architecture governance and execution of the endtoend manufacturing data journey acro...
DescriptionThe Manager Engineering Management will serve as the strategic leader connecting Operational Technology (OT) and Information Technology (IT) within Vertivs Global Technology Ecosystem. This role owns the architecture governance and execution of the endtoend manufacturing data journey across Vertivs global operations.
As a key driver of Vertivs digital and engineering transformation this leader will guide the evolution of connected factory environments ensuring the development of scalable standardized and highly reliable engineering and manufacturing data models. The Manager will champion the integration of systems automation platforms and data sources to accelerate engineering excellence operational efficiency and AIenabled decision-making across the global footprint.
1. Industrial Edge & Connectivity Architecture
- Edge Orchestration: Deploy industrial edge computing strategies as well as Large Video Modeling using Linux-based gateways and Docker containerization to run ingestion logic at the plant level.
- Ignition Modules: Tag Historian Transaction Groups Alarm Notification Pipelines and Named Queries
- Programming: Python SQL C# VBScript PowerShell PowerApps Agent & Bot creation
- Databases: MS SQL Server (Stored Procedures Views Indexing) MySQL Azure SQL
- Protocols: OPC UA/DA MQTT Sparkplug B Modbus TCP/IP Transcoder Profinet EtherNet/IP
- DevOps: Azure DevOps (YAML Pipelines Repos Boards) GitHub Bitbucket CI/CD Automation
- Secure Networking: Partner with IT to implement robust TCP/IP Transcoder and VLAN segmentation strategies ensuring secure data extraction across the overall Model without impacting production uptime.
2. Data Engineering & Modeling
- Modern Data Stack Leadership: Drive Standardize structures to create Golden Tables (Snowflake/BigQuery/AWS) ensuring a single source of truth for manufacturing KPIs like OEE and OOE.
- AWS Ecosystem Management: Leverage AWS partner solutions (e.g. EasyEdge CloudRail Edge2Web) to accelerate sensor-to-Open API onboarding and real-time visualization.
- Pipeline Reliability: Implement software engineering best practices including version control (Git) CI/CD and rigorous data quality testing for high-frequency industrial data.
- Strategic Alignment: Translate complex factory floor challenges into data initiatives that support global initiatives and operational excellence.
- Experience: 2 plus; years in Data Engineering Analytics or Industrial Automation.
- Domain Knowledge: Proven track record in a manufacturing environment (discrete or process) with an understanding of MES and ERP integration.
- Systems Thinking: Ability to navigate the complexities of IT/OT convergence and the security requirements of a global manufacturing footprint.
- Experience with Digital Twin concepts and Discrete Event Simulation.
- Familiarity with AI/ML deployment at the edge.
- Experience supporting global initiatives within a large-scale manufacturing organization
Required Experience:
Manager
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