Director of Supply Chain Data & Analytics

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The Director of Data & Analytics for the Ryder ecommerce division leads the data strategy and execution across e-commerce product, business and customer insights, and AI/ML initiatives. This role is responsible for building a scalable data foundation, delivering actionable insights, enabling data-driven decision-making, and establishing a platform for advanced analytics and data products. With a focus on operational efficiency and business growth for the domain aligned with enterprise objectives, the Director oversees data engineering, analytics, and governance, partnering with cross‑functional teams to ensure data is a strategic asset supporting both internal and customer needs.

• Define and lead execution of a unified data and AI/ML strategy aligned to business and operational priorities
• Build and manage a high‑performing team across data engineering, BI, and analytics
• Develop a scalable, modern data platform and advanced analytics, self‑service BI, and machine learning solutions
• Collaborate with stakeholders to identify, prioritize, and deliver AI/ML use cases that drive measurable business outcomes
• Partner with stakeholders to define data requirements, metrics, governance, and ethical AI principles
• Deliver insights to optimize logistics operations and support customer‑facing products
• Champion a data‑driven culture across teams through enablement and education
• Ensure compliance with data security and privacy standards (e.g., SOC 2, GDPR)
• Align data strategy with enterprise architecture, product development, and platform delivery

• Performs other duties as assigned

• Strong entrepreneurial mindset that sees “what could be” and leads the effort to achieve – Required
• Strategic planning and communication of a clear data vision – Required
• Ability to lead cross‑functional data initiatives and drive measurable outcomes – Required
• Strong knowledge of data architecture, analytics, and governance – Required
• Skilled in Agile environments and iterative delivery – Required
• Excellent collaboration and stakeholder management skills – Required
• Background in logistics or supply chain analytics is a plus – Required

• Bachelor's Degree in data science, computer science, analytics, or related field – Required
• Master's Degree in data science, computer science, analytics, or related field – Preferred
• 8 years or more in experience in data or analytics roles – Required
• 3 years or more in leadership role – Required
• Experience with modern data and ML tools (e.g., Snowflake, Databricks, Power BI, Domo) – Intermediate, Required
• Experience supporting enterprise or multi‑tenant platforms – Preferred, Intermediate, Required
• Proven experience leading enterprise‑scale data platform initiatives and enabling AI/ML capabilities – Advanced, Required
• Familiarity with data compliance frameworks (e.g., SOC 1/2, ISO 27001, GDPR) – Intermediate, Required

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Enterprise Data

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:

Pay Type
:
Salaried

Minimum Pay Range
: $

Maximum Pay Range
: $

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,  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…