Demonstrated experience designing and implementing enterprise data architectures and data governance frameworks. 10+ years of progressive experience in data management, analytics, business intelligence, data engineering, or enterprise architecture.
Numbers & Facts
Location
Cleveland, OH
Job Type
Full-time
Description
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
Governance
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
Requirements
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.