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Global AI & Business Intelligence Manager

Milacron

Salary not specified
Aug 22, 2025
Batavia, OH, US
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Milacron is looking for a Global AI and Business Intelligence (BI) Manager to lead efforts in leveraging artificial intelligence (AI), machine learning (ML), and advanced analytics to transform data into actionable insights, enabling smarter decision-making across the enterprise and optimizing internal business processes.

Requirements

  • Proficiency in AI/ML frameworks (e.g., TensorFlow, PyTorch), programming languages (Python, R), and cloud platforms (Azure, AWS, GCP).
  • Hands-on experience with modern BI tools such as Power BI, Tableau, or Qlik.
  • Strong knowledge of data integration, data warehousing, and modeling techniques.
  • 5+ years of experience in business intelligence, analytics, or AI.
  • Experience in manufacturing, supply chain, or engineering-intensive environments.
  • Familiarity with Enterprise Resource Planning (ERP) (e.g., JD Edwards) and Product Lifecycle Management (PLM) (PTC/Windchill) integrations with analytics solutions.
  • Certifications in data analytics, AI/ML, or BI platforms.

Responsibilities

  • Collect, analyze, and interpret data from various sources to generate actionable insights.
  • Perform data analysis, validation, mapping, and design for structured and unstructured data.
  • Identify and interpret trends in large data sets.
  • Develop, maintain, and support reporting tools, dashboards, and visualizations (Power BI, Tableau, Qlik).
  • Standardize KPIs and enterprise dashboards for consistent reporting.
  • Ensure high data quality and availability through best practices and tools.
  • Coordinate AI implementation, monitor outcomes, and evaluate new technologies through pilots.

Other

  • 3+ years of leadership or global management experience.
  • Lead and mentor a global BI team.
  • Drive alignment on AI/BI strategies across regions and units.
  • Foster a culture of data literacy, innovation, and continuous improvement.
  • Collaborate with stakeholders to prioritize data and reporting needs.