This job is no longer available

The position may have been filled or the posting has expired. Browse similar opportunities below.

Back to Jobs
Komatsu North America

Director, AI and Data at Komatsu North America

Komatsu North America No longer available

JOB DESCRIPTION

Director, AI & Data

Komatsu is seeking a Director, AI & Data to lead enterprise-wide AI and data transformation initiatives across our North American organizations. This role will shape strategy, governance, and advanced analytics capabilities that enable smarter decisions, scalable innovation, and long-term business value. The Director, AI & Data serves as a strategic partner to business and functional leaders, embedding AI, analytics, and data-driven insights into operations, planning, and performance measurement. This leader will also build and mentor a high-performing team while championing responsible AI, data ethics, and governance.

Key Job Responsibilities:

  • Lead the enterprise AI and data strategy, ensuring alignment with business priorities and long-term transformation goals
  • Define and manage an enterprise AI and data roadmap, architecture, and operating model
  • Embed advanced analytics and AI capabilities into core business processes including forecasting, predictive analytics, and intelligent automation
  • Establish and operationalize data governance, stewardship, and standardization practices across the enterprise
  • Partner closely with IT, business units, and functional leaders to modernize data platforms and infrastructure
  • Build, lead, and develop a high-performing team of data scientists, engineers, and analytics leaders
  • Champion ethical AI practices, data privacy, and compliance standards
  • Promote data literacy and AI enablement across functions to drive adoption and value realization
  • Monitor performance and continuously refine AI and data initiatives for scalability and efficiency

Qualifications/Requirements:

  • Bachelor's degree in Data Science, Computer Science, or related field required. Master's degree or MBA preferred.
  • 10+ years in data and analytics leadership roles, including 5+ years leading enterprise data/AI initiatives.
  • Deep knowledge of AI/ML technologies, cloud data platforms, and data engineering best practices.
  • Demonstrated success driving data and AI transformations at scale in complex organizations.
  • Expertise in ethical AI, data privacy, and compliance standards.
  • Strong skills in communication, leadership, change management, and stakeholder engagement.

Hiring Range: At Komatsu, your base pay is one part of your total compensation package. This role pays $193,000-$250,000. The actual offer will consider a wide range of factors, including experience and location.

Company Benefits: Komatsu provides an extensive and robust employee benefits package that is designed to enhance the well-being of our employees and family members. Health benefits: Medical, dental, vision, HSA, wellness programs, etc. 401k and/or employee savings programs Employee time off (vacation and designated holidays) Employee and family assistance programs Disability benefits Life insurance Employee learning and development programs

Diversity & Inclusion Commitment: At Komatsu, we come from diverse backgrounds, with unique perspectives, experiences and contributions. We believe that our people are part of our shared purpose. Connected by our core values of ambition, perseverance, collaboration and authenticity, we are committed to continually advancing in our support of diversity and inclusion.

Company Information: Komatsu develops and supplies technologies, equipment and services for the construction, mining, forklift, industrial and forestry markets. Headquartered in Tokyo, Japan, Komatsu employs more than 64,000 people worldwide, operating in more than 140 countries. For more than a century, the company has been creating value for its customers through manufacturing and technology innovation, partnering with others to empower a sustainable future where people, business and the planet thrive together.