Director of Ecommerce Data & Analytics (Washington) Job at Ryder System, Inc., Washington DC

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  • Ryder System, Inc.
  • Washington DC

Job Description

Summary

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 decisionmaking, 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 crossfunctional teams to ensure data is a strategic asset supporting both internal and customer needs.

Essential Functions

  • Define and lead execution of a unified data and AI/ML strategy aligned to business and operational priorities
  • Build and manage a highperforming team across data engineering, BI, and analytics
  • Develop a scalable, modern data platform and advanced analytics, selfservice 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 customerfacing products
  • Champion a datadriven 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

Additional Responsibilities

  • Performs other duties as assigned.

Skills and Abilities

  • 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 crossfunctional 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

Qualifications

  • 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 multitenant platforms preferred Intermediate, Required
  • Proven experience leading enterprisescale 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

Travel

  • 0 - 10%

Compensation

Salary ranges: minimum $155,000.00, maximum $195,000.00. The position may also be eligible to receive an annual bonus, commission, and/or longterm incentive plan based on the level and/or type.

Benefits

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 taxadvantaged 401(k) retirement savings plan.

EEO Statement

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.

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Job Tags

Full time,

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