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Modine Manufacturing Company Logo

Director, Group Analytics & AI

Modine Manufacturing Company

Salary not specified
Dec 10, 2025
Racine, WI, US
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Modine is looking to solve the toughest thermal management challenges for mission-critical applications and evolve its portfolio of technologies to provide the latest heating, cooling, and ventilation solutions, by developing and executing an enterprise-wide data, analytics, and artificial intelligence strategy.

Requirements

  • Hands-on experience with a variety of data and AI technologies, including BI & Visualization: Power BI, Tableau, or similar.
  • Cloud Platforms: Microsoft Azure, Google Cloud Platform (GCP).
  • AI/ML: Experience with AI and machine learning concepts and tools, including Azure OpenAI.
  • ERP Systems: Broad understanding of enterprise systems, including SAP/SAP BW.
  • Deep understanding of modern data architecture, including data warehousing, data lakes, and lakehouses.
  • Proven track record of developing and executing successful data, analytics, and AI strategies that have delivered significant business impact.
  • Extensive experience leading and mentoring high-performing, global data teams.

Responsibilities

  • Develop, articulate, and execute a comprehensive, forward-looking strategy for data analytics and AI that aligns with Modine's business objectives.
  • Drive the vision for a future-state data architecture and technology stack.
  • Oversee the selection, implementation, and management of data and AI platforms and tools.
  • Ensure the technology stack is modern, scalable, and secure, incorporating key systems like SAP, the Microsoft Suite (including Power BI), and Google.
  • Establish and enforce robust data governance standards and processes.
  • Own the product backlog and roadmaps for analytics and AI initiatives, ensuring projects are delivered on time and on budget.
  • Champion a data-driven culture throughout the organization.

Other

  • 15+ years of experience in the data analytics and/or IT fields, with at least 5+ years in a senior leadership role.
  • Bachelor’s degree in Computer Science, Data Science, Statistics, Business, or a related field or equivalent experience.
  • Ability to travel up to 25%
  • Exceptional stakeholder management and communication skills, with the ability to influence and gain buy-in from executives and the broader business community.
  • Strong business acumen with the ability to connect data and analytics to real-world business challenges.