Senior AI Data Architect

For more than 100 years, Modine has solved the toughest thermal management challenges for mission‑critical applications. Our purpose of Engineering a Cleaner, Healthier World means we are always evolving our portfolio of technologies to provide the latest heating, cooling, and ventilation solutions. Through the hard work of more than 11,000 employees worldwide, our Climate Solutions and Performance Technologies segments advance our purpose with systems that improve air quality, reduce energy and water consumption, lower harmful emissions, enable cleaner running vehicles, and use environmentally friendly refrigerants.

Modine is a global company headquartered in Racine, Wisconsin (U.S.), with operations in North America, South America, Europe, and Asia.

Modine is seeking a talented and visionary Data and AI Architect to play a pivotal role in our business transformation. This position is responsible for designing, creating, deploying, and managing the organization’s data and AI architecture. You will be a key technical leader in shaping how Modine leverages data, advanced analytics, and artificial intelligence to create significant business value. The ideal candidate has a passion for building modern, scalable data and AI solutions, with specific expertise in the Google Cloud Platform (GCP) and its comprehensive data and analytics capabilities.

You will work closely with business stakeholders, data scientists, and IT teams to build the foundation for our intelligent, data‑driven future.

• Data & AI Architecture Design:
  Design and maintain the enterprise‑wide architecture for data and AI, encompassing data warehousing (Big Query), data lakes, and lakehouse solutions. Architect scalable platforms for both traditional analytics and advanced AI/ML workloads.
• Technical Implementation & GCP Expertise:
  Serve as the subject matter expert on Google Cloud. Implement and manage core platforms and tools, including:
  • Data Services:
    Big Query, Dataflow, Cloud Storage, Pub/Sub, and Cloud Composer.
  • AI/ML Services:
    Vertex AI (including Pipelines, Training, Feature Store, and Endpoints), Big Query ML, and emerging Generative AI services.
• AI Strategy & Solution Architecture:
  Architect end‑to‑end solutions that support and enable the use of AI and machine learning. Translate business problems into technical blueprints for AI/ML models, incorporating MLOps principles for scalable deployment and management.
• Scalable Data Pipelines:
  Design robust and scalable ETL/ELT processes to integrate data from various sources, including ERP systems like SAP, into the GCP ecosystem.
• Technology & Platform Management:
  Continuously evaluate and recommend new GCP services and third‑party tools to enhance our data and AI capabilities, ensuring our architecture remains modern and effective.
• Data Governance:
  Collaborate with the data governance team to implement and enforce data standards, security protocols, and best practices to ensure data quality, integrity, and compliance across all data and AI systems.
• Collaboration & Enablement:
  Partner with business analysts and citizen developers to support their use of data and tools like Power BI, and work with data scientists to provide the robust infrastructure needed to train and deploy models efficiently.

• 7+ years of experience in data engineering, data architecture, or AI/ML architecture.
• Proven track record of designing and implementing successful, scalable data and AI platforms.
• Deep, hands‑on expertise with Google Cloud Platform (GCP) and its core data and AI services:
  • Must have experience with:
    Big Query, Dataflow, Cloud Storage, and Vertex AI.
• Strong experience with modern data architecture principles (data warehousing, data lakes, lake houses) and AI/ML solution architecture.
• Proficiency in designing data models, data integration patterns, and building large‑scale ETL/ELT pipelines.
• Deep understanding of the machine learning lifecycle and MLOps principles (e.g., model training, deployment, monitoring).
• Excellent problem‑solving skills and the ability to translate complex business challenges into cohesive technical architectures.

• Ex…