AI & Analytics Specialist

Responsibilities

• Lead the development and deployment of AI and advanced analytics solutions to improve equipment reliability, maintenance strategies, and fleet performance.
• Identify high-value use cases across all fleet departments to integrate solutions into existing workflows.
• Drive adoption of new technologies by coordinating training, developing practical use cases, and supporting end users.
• Partner with site teams and corporate groups to ensure solutions are scalable, repeatable, and aligned with fleet priorities.
• Monitor solution performance and continuously refine tools based on real-world impact and lessons learned.
• Represent the organization in industry groups, vendor engagements, and research initiatives to bring proven ideas and best practices back internally.
• Develop clear documentation, guidance, and standards to support long-term sustainability of deployed solutions.
• Provide regular updates to leadership on project progress, value delivered, and emerging opportunities.
• Drive a culture of innovation by challenging traditional approaches and identifying new ways to improve safety, performance, and cost.

• Bachelor’s degree in a relevant field (engineering, computer science, data analytics, or similar) or equivalent experience.
• 3–7 years of experience in data science, analytics engineering, or applied AI.
• Familiarity with cloud platforms (Azure, AWS, GCP) preferred.
• Proficiency in Python, SQL, and at least one ML/analytics framework.
• Experience applying AI, data analytics, or digital tools in a business or operational environment.
• Strong problem‑solving ability with a focus on practical, implementable solutions.
• Ability to work across organizations and influence without direct authority.
• Clear, concise communication skills with both technical and non-technical audiences.
• Self‑starter who can identify opportunities, take ownership, and deliver results.
• Comfortable working in an evolving space with emerging technologies.