Manager Engineering Management

 

The Manager, Engineering Management will serve as the strategic leader connecting Operational Technology (OT) and Information Technology (IT) within Vertiv’s Global Technology Ecosystem. This role owns the architecture, governance, and execution of the end‑to‑end manufacturing data journey across Vertiv’s global operations.

As a key driver of Vertiv’s 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 AI‑enabled decision-making across the global footprint.

 

Key Responsibilities 

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. 

Leadership & Experience 

• 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. 

 

Preferred Skills 

• 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