Director, Group Analytics & AI

Description

• Technology & Platform Management: 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.
• Leadership & Team Development: Lead, mentor, and grow a global team of data professionals. Foster a culture of innovation, accountability, and continuous learning.
• Governance & Execution: 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.
• Innovation & Culture: Champion a data-driven culture throughout the organization. Drive the "Citizen-led Innovation" strategy, empowering employees with the tools and training to leverage data effectively. Stay current with emerging trends in AI, machine learning, and data analytics to keep Modine at the forefront of technology.
• Business Partnership & Value Creation: Collaborate with senior leaders across the company to identify and prioritize high-impact opportunities for leveraging data and AI. Translate business needs into technical requirements and analytical solutions that drive measurable business value.
• Strategy & Vision: 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.

Requirements

• ERP Systems: Broad understanding of enterprise systems, including SAP/SAP BW.
• AI/ML: Experience with AI and machine learning concepts and tools, including Azure OpenAI.
• BI & Visualization: Power BI, Tableau, or similar.
• 15+ years of experience in the data analytics and/or IT fields, with at least 5+ years in a senior leadership role.
• Proven track record of developing and executing successful data, analytics, and AI strategies that have delivered significant business impact.
• Deep understanding of modern data architecture, including data warehousing, data lakes, and lakehouses.
• Exceptional stakeholder management and communication skills, with the ability to influence and gain buy-in from executives and the broader business community.
• Hands-on experience with a variety of data and AI technologies, including:
• Ability to travel up to 25%
• Bachelor’s degree in Computer Science, Data Science, Statistics, Business, or a related field or equivalent experience.
• Extensive experience leading and mentoring high-performing, global data teams.
• Strong business acumen with the ability to connect data and analytics to real-world business challenges.
• Cloud Platforms: Microsoft Azure, Google Cloud Platform (GCP).

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance