AI & Data Strategy Define the enterprise AI/ML strategy aligned to operational and business goals Identify, prioritize, and govern AI use cases across manufacturing and supply chain Build the AI Center of Excellence (CoE) and scaling framework Own the enterprise data platform strategy: data lake, lakehouse, streaming Lead Data & AI Architect to design scalable, governed data pipelines Drive IT/OT data convergence enabling real-time operational intelligence Lead Data Scientists delivering predictive and prescriptive models Establish MLOps practices: model versioning, monitoring, and retraining Deliver AI solutions for forecasting, predictive maintenance, and quality Implement enterprise data governance: ownership, lineage, and quality standards Manage master data strategy (MDM) and enterprise data cataloguing Ensure data privacy compliance (GDPR, CCPA) and ethical AI principles 10+ years of progressive experience in data management, analytics, business intelligence, data engineering, or enterprise architecture.5 years of leadership experience managing data, analytics, AI, or technology teams. Demonstrated experience designing and implementing enterprise data architectures and data governance frameworks. Experience with cloud-based data platforms Experience leading data integration, data warehousing, analytics, and reporting initiatives. Working knowledge of artificial intelligence, machine learning, and emerging data technologies. Experience partnering with business leaders to translate business requirements into scalable data and technology solutions. Strong understanding of data security, privacy, and regulatory compliance requirements.
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Also on the board Same function, level within a rung

Level

Manager

Location

Cleveland Heights, OH

Occupation

Database Architects

Industry

Computer Systems Design Services

Posted

yesterday

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