VP, Data Analytics & Business Intelligence
Tasks
- Build modern cloud enabled data ecosystem
- Define industrial data strategy connecting ERP and OT
- Enable governed self service analytics and citizen data science
- Ensure compliance with SOX ITGC and audit requirements
- Establish data governance and AI governance
- Establish governance for Microsoft Power Platform
- Evaluate and deploy GenAI capabilities with security and compliance controls
- Implement MLOps for model lifecycle management
- Integrate MES historian time series SCADA IIoT quality and maintenance data
- Inventory analytics BI and AI tools and capabilities
- Lead and develop global data and analytics teams
- Manage IT portfolio program governance roadmap milestones and value tracking
- Modernize data analytics and AI capabilities
- Oversee digital operations platforms SharePoint and public website
- Own middleware and integration approach across enterprise and plant systems
- Prepare management reports and support steering committee meetings
- Set strategic vision for data analytics and AI
- Support M and A data stack integration
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | APIs | Anomaly Detection | Artificial Intelligence | Azure | CMMS | Data Governance | Data Lakehouse | Data Lineage | Data Management | Data Modeling | Data Products | Data Quality | Data Visualization | Data Warehousing | EAM | ELT | ERP | ESB | ETL | Edge-to-cloud | Event Streaming | Event gateways | Historian | IIoT | IPaaS | Language Processing | MES | MLOps | Machine Learning | Master Data | Master Data Management | Metadata catalog | Microsoft Power | Microsoft Power Platform | Natural Language | Natural Language Processing | OEE | Power Apps | Power Automate | Power BI | Power Platform | Predictive Analytics | Quality management | SCADA | Secure Edge | Secure Edge to Cloud | Series forecasting | Time Series | Time Series Forecasting
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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