Director, Asset Management Center of Excellence

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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.

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.

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.

Ability to influence senior leaders across Finance, Pricing, Product, Operations, Sales, Marketing, Technology, and Data Science.

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.

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.

The compensation offered to a candidate may be influenced by a variety of factors, including the candidate’s relevant experience; education, including relevant degrees or certifications; work location; market data/ranges; internal equity; internal salary ranges; etc. The position may also be eligible to receive an annual bonus, commission, and/or long-term incentive plan based on the level and/or type. Compensation ranges for the position are below:

Salaried Minimum Pay Range: 130,000 Maximum Pay Range: 150,000 Benefits Information :

For all Full-time positions only : Ryder offers comprehensive health and welfare benefits, to include medical, prescription, dental, vision, life insurance and disability insurance options, as well as paid time off for vacation, illness, bereavement, family and parental leave, and a tax-advantaged 401(k) retirement savings plan.

For more information about benefits, click here to download the comprehensive benefits summary.

Ryder is proud to be an Equal Opportunity Employer and Drug Free workplace.

All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability.

Important Note: Some positions require additional screening that may include employment and education verification; motor vehicle records check and a road test; and/or badging or background requirements of the customer to which you are assigned.

Ryder will only communicate with an applicant directly from a [@ryder.com] email address and will never conduct an interview online through a chat type forum, messaging app (such as WhatsApp or Telegram), or via an online questionnaire. During an interview, Ryder will never ask for any form of payment or banking details and will never solicit personal information outside of the formal submitted application through .

Should you have any questions regarding the application process or to verify the legitimacy of an interview or Ryder representative, please contact Ryder at .

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Originally posted on Himalayas