Vertiv · 12 hours ago
Manager Engineering Management
Vertiv is a global leader in digital infrastructure and continuity solutions, and they are seeking a Global Analytics Engineering Manager to lead the bridge between Operational Technology and Information Technology. This high-impact leadership role is responsible for architecting and managing the overall manufacturing data journey to drive global manufacturing excellence and AI-driven transformation.
Data CenterInformation TechnologyIT InfrastructureTelecommunications
Responsibilities
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
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
Qualification
Required
2+ years in Data Engineering, Analytics, or Industrial Automation
Proven track record in a manufacturing environment (discrete or process) with an understanding of MES and ERP integration
Ability to navigate the complexities of IT/OT convergence and the security requirements of a global manufacturing footprint
Preferred
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
Company
Vertiv
Vertiv designs, builds and services critical infrastructure that enables vital applications for data centers and industrial facilities.
Funding
Current Stage
Public CompanyTotal Funding
$1.24BKey Investors
Starboard ValuePlatinum Equity
2022-10-20Post Ipo Equity
2020-02-10Post Ipo Equity· $1.24B
2020-02-10IPO
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