
501 - 1000 employees
Founded 1970
🚗 Transport
👥 B2C
🛒 Retail
Transport • B2C • Retail
Mazda North American Operations is the North American subsidiary of Mazda Motor Corporation responsible for marketing, sales, distribution, and customer support of Mazda automobiles across the United States (and broader North America). The company showcases and sells a full lineup of passenger cars, crossovers, SUVs, hybrid and plug-in hybrid models, and sports cars through a network of local dealerships, offers financing and warranty products, certified pre-owned programs, owner services, accessories, and promotional offers. Mazda North American Operations emphasizes vehicle design, safety, electrification options, and customer ownership experiences.
🔥 1 minute ago
🏈 Alabama, Arizona, +34 more states – Remote
💵 $228.6k - $348.6k / year
⏰ Full Time
🟠 Senior
📉 Data Analyst
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501 - 1000 employees
Founded 1970
🚗 Transport
👥 B2C
🛒 Retail
Transport • B2C • Retail
Mazda North American Operations is the North American subsidiary of Mazda Motor Corporation responsible for marketing, sales, distribution, and customer support of Mazda automobiles across the United States (and broader North America). The company showcases and sells a full lineup of passenger cars, crossovers, SUVs, hybrid and plug-in hybrid models, and sports cars through a network of local dealerships, offers financing and warranty products, certified pre-owned programs, owner services, accessories, and promotional offers. Mazda North American Operations emphasizes vehicle design, safety, electrification options, and customer ownership experiences.
• Define and execute the enterprise Data, Analytics, AI, and Automation strategy • Develop and maintain a multi-year roadmap for data modernization • Advise executive leadership on emerging technologies, AI trends, opportunities, and risks • Manage enterprise data platform architecture, including the Enterprise Data Warehouse, Azure Data Lake • Establish enterprise data governance, data quality, and master data management capabilities • Develop enterprise analytics capabilities that improve decision-making • Drive adoption of intelligent automation and AI capabilities to improve productivity • Build, lead, and develop a high-performing organization
• 10+ years progressive leadership experience in enterprise Data, Analytics, AI, Automation, or Digital Transformation • 7+ years experience leading enterprise data platforms, cloud data architectures, analytics engineering, or data management organizations • 5+ years experience leading enterprise AI, machine learning, advanced analytics, or intelligent automation initiatives • 5+ years experience with people leadership, organizational development, financial management, and strategic vendor management • Demonstrated success developing and executing multi-year technology roadmaps, investment strategies, and enterprise transformation programs • Experience establishing enterprise data governance, AI governance, information management, and regulatory compliance programs • Experience leading modern cloud data platforms and analytics ecosystems • Experience leading enterprise ERP, CRM, and business intelligence ecosystems • Experience working within global or multinational organizations; experience in a Japanese-affiliated organization preferred • Automotive, manufacturing, retail, or other complex multi-channel enterprise experience preferred
• Learn more about MNAO’s comprehensive benefits package here • Health insurance • 401(k) matching • Paid time off • Flexible work arrangements • Professional development
Apply Now🔥 31 minutes ago
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