Consultant - Fleet Service and Operations

Who We Are

We are a diverse and focused team motivated to solve the hardest problems in the automotive industry through machine learning. We have developed an end-to-end machine learning platform to empower automakers to build safer, smarter, and personalized vehicles. Our platform increases connected vehicle data accessibility and actionability for automakers, their partners and their end-customers.

Who You Are

You are a problem solver who has a thorough understanding of fleet service and operations within heavy duty and/or light duty fleets. You are data-fluent and rely on data-driven approaches to decision-making. You have a business mindset and work best in team settings. You are comfortable working with data analysts, field technicians, and business managers. You are curious, energetic, and love new challenges.

About the Role

As a consultant working with our product and data science organizations, you will have the opportunity to contribute your fleet management, fleet service, and fleet operations expertise to help create best-in-class solutions for the most pressing issues for fleets. Your role will be to advise the product and data science teams to help them develop context about how fleets operate, building critical bridges to ensure customers get the most from our product while also contributing to the improvement of those products.

Responsibilities

• Advise product and data science team members on major fleet pain points, common solutions, and opportunities for value creation
• Working closely with our product management and data science teams to help them become domain experts in fleet service, operations, and connected vehicle data.
• Identify and develop ideas for new products and features that leverage connected vehicle data, data science and software.

About You

• 7+ years of experience in Fleet Management industry
• Intimate knowledge of one or more of the following
• Fleet service operations
• Automotive repair and maintenance operations
• Vehicle allocation decisions
• Vehicle lifecycle management
• Vehicle repair/replace decisions and policies
• Total cost of ownership models
• In house service vs outsourced service decisions
• OEM purchasing and repair relationship
• Data analysis for fleet management
• Driver hiring and retention

Bonus

• Prior work in small, agile teams