Director, Asset Management CoE — AI & Revenue Optimization

Ryder System, Inc.; Miami (FL); On-site; USD 130,000 - 150,000; Full time

Job summary

Ryder System, Inc. seeks a Director of Asset Management Center of Excellence to lead analytics, AI, data strategy, and technology optimization for fleet management.

You will partner across Finance, Sales, Marketing, and Technology to translate data into revenue growth and EBITDA improvements. Responsibilities include developing an enterprise AI roadmap, driving pricing and portfolio optimization, and delivering scalable analytics that improve asset utilization and profitability.

Qualifications

• Bachelor's degree in a related field.
• 7-10 years of progressive leadership experience in analytics, pricing, finance, asset management, or related functions.
• Preferred Master's degree (MBA, Analytics, Data Science, Economics, or related discipline).
• Experience leading enterprise analytics initiatives with measurable financial results.

Responsibilities

• Develop and execute AI, data, analytics, and automation strategy.
• Lead pricing strategy and optimization across asset portfolios.
• Identify and deploy GenAI, predictive analytics, ML, and optimization models.
• Analyze customer, market, competitive, and financial data for product strategy and portfolio optimization.
• Lead enterprise reporting, dashboards, and decision-support tools for senior leadership.
• Build and mentor a high-performing analytics and CoE team.

Skills

Strategic leadership

Pricing strategy

Analytics

Cross-functional collaboration

Executive communication

Education

Bachelor's degree

Master's degree (preferred)

Tools

Microsoft Azure

Snowflake

Databricks

Power BI

SQL

Python

AI platforms

Generative AI

Job description

Ryder System, Inc. seeks a Director of Asset Management Center of Excellence to lead analytics, AI, data strategy, and technology optimization for fleet management.

You will partner across Finance, Sales, Marketing, and Technology to translate data into revenue growth and EBITDA improvements. Responsibilities include developing an enterprise AI roadmap, driving pricing and portfolio optimization, and delivering scalable analytics that improve asset utilization and profitability.