Director, Asset Management Center of Excellence Full Time NEW

Job Description :

Director, Asset Management Center of Excellence

Position Summary

The Director of Asset Management Center of Excellence (CoE) leads Ryder’s Fleet Management Solutions enterprise Asset Management analytics, AI, data strategy, reporting, and technology optimization capabilities. Reporting to the Vice President of Asset Management, this role is responsible for transforming data into measurable business value through advanced analytics, artificial intelligence, pricing optimization, and commercial decision support.

The Director serves as the bridge between Asset Management, Finance, Pricing, Sales, Marketing, Operations, Technology, and Data Science, ensuring data-driven decisions improve revenue growth, profitability, asset utilization, customer value, and EBITDA performance.

This leader will develop and execute a long-term AI and analytics roadmap, converting emerging technologies into scalable business capabilities that drive measurable financial outcomes.

Essential Functions

Strategic Leadership & Business Value Creation

• Develop and execute the Asset Management AI, data, analytics, and automation strategy aligned with enterprise growth, EBITDA expansion, margin improvement, pricing effectiveness, and customer value creation.
• Lead the Asset Management Center of Excellence responsible for analytics, reporting, fleet intelligence, asset lifecycle optimization, technology enablement, and process automation.
• Partner with executive leadership to identify opportunities for revenue growth, cost reduction, asset productivity improvements, and operational efficiencies.
• Establish KPIs, governance models, and performance measurement frameworks that directly connect analytics initiatives to financial outcomes.

Pricing & Revenue Optimization

• Lead pricing strategy and optimization initiatives across asset portfolios.
• Drive analytical approaches related to:
• Price elasticity
• Customer willingness-to-pay
• Commercial segmentation
• Dynamic pricing
• Revenue management
• Discount management
• Promotional effectiveness
• Recommend actions that improve pricing realization, profitability, and overall portfolio performance.

AI, Data Science & Advanced Analytics

• Identify and deploy GenAI, predictive analytics, machine learning, optimization models, and AI agent capabilities that create measurable business value.
• Lead development of descriptive, diagnostic, predictive, and prescriptive analytics solutions.
• Translate emerging AI technologies into practical commercial, operational, and financial applications.
• Partner with Technology and Data Science teams to move concepts from pilot to production at scale.

Product, Customer & Market Analytics

• Utilize customer, market, competitive, operational, and financial data to support product strategy, product profitability, and portfolio optimization.
• Analyze customer behavior, retention, acquisition, profitability, and lifetime value to influence commercial strategy.
• Develop analytical insights that improve customer segmentation, cross-sell opportunities, upsell opportunities, and overall wallet share growth.
• Evaluate and recommend product portfolio and asset investment strategies based on market demand and financial returns.

Reporting & Decision Support

• Lead enterprise reporting, dashboard development, and analytical tools that support executive decision making.
• Deliver actionable insights to senior leadership, translating complex analytics into business implications, financial outcomes, and strategic recommendations.
• Build scalable reporting frameworks that improve visibility into fleet performance, utilization, profitability, and asset lifecycle management.

Talent Development & Cross-Functional Leadership

• Build, lead, and develop a high-performing team of analytics, reporting, data, AI, and business intelligence professionals.
• Foster a culture of innovation, continuous improvement, accountability, and business partnership.
• Influence stakeholders across all levels of the organization and drive adoption of data-driven decision-making practices.

Education

Required

• Bachelor’s Degree in Business Administration, Finance, Accounting, Economics, Data Analytics, Engineering, Computer Science, or a related field.

Preferred

• Master’s Degree (MBA, Analytics, Data Science, Economics, or related discipline).

Experience

Required

• 7-10 years of progressive leadership experience in analytics, pricing, finance, asset management, commercial strategy, product management, or related business functions.
• Demonstrated experience leading enterprise analytics initiatives that generated measurable financial results.
• Experience managing cross-functional teams and influencing executive stakeholders.

Preferred

• Experience within transportation, logistics, fleet management, leasing, warehousing, distribution, or other asset-intensive industries.
• Experience leading AI, machine learning, pricing, commercialization, or revenue optimization initiatives.
• Experience implementing enterprise analytics platforms and modern cloud-based data solutions.

Technical Expertise

Strong experience with:

• Microsoft Azure
• Snowflake
• Databricks
• Power BI
• SQL
• Python or equivalent analytical tools
• Machine Learning platforms
• Generative AI and AI Agent frameworks
• Enterprise data and analytics architecture

Required Knowledge & Competencies

Financial & Commercial Acumen

Demonstrated expertise in:

• Revenue growth strategies
• Gross margin and contribution margin analysis
• EBITDA improvement initiatives
• ROI development and business case creation
• Customer and product profitability
• Cost-to-serve analytics
• Revenue and demand forecasting
• Competitive pricing analysis
• Portfolio optimization
• Scenario modeling and sensitivity analysis

Leadership Capabilities

• Strategic thinker with strong commercial and financial orientation.
• Proven ability to translate analytics into business decisions and financial value.
• Exceptional executive communication and presentation skills.
• Ability to influence senior leaders across Finance, Pricing, Product, Operations, Sales, Marketing, Technology, and Data Science.
• Strong organizational and project leadership skills.
• Self-driven, highly adaptable, and capable of operating effectively in fast-paced environments.

Analytical Excellence

• Deep expertise in descriptive, diagnostic, predictive, and prescriptive analytics.
• Strong understanding of AI, machine learning, optimization, and emerging analytics technologies.
• Ability to convert analytical insights into practical action plans and measurable business outcomes.

Travel

• Travel required: 0-10%

Success Measures for the Role

The Director will be evaluated on their ability to:

• Increase revenue through pricing and commercial analytics initiatives.
• Improve EBITDA and margin performance through data-driven decision making.
• Increase asset utilization and lifecycle profitability.
• Deliver measurable ROI from AI and analytics investments.
• Accelerate adoption of AI-enabled commercial and operational capabilities.
• Build a high-performing analytics and Asset Management Center of Excellence organization.

Job Category: Asset Management

Our Culture & Commitment :

At Ryder, you’re trusted to make an impact—while enjoying room to grow and having a voice that’s heard. Our culture is built on respect, collaboration, and shared pride in doing great work rooted in innovation and safety.

Your Voice. Your Success. The Future We Build Together.