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Ryder Supply Chain Solutions

Director of Ecommerce Data & Analytics

Reposted 3 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Coral Gables, FL
155K-195K Annually
Senior level
In-Office or Remote
Hiring Remotely in Coral Gables, FL
155K-195K Annually
Senior level
The Director leads the data strategy for Ryder's ecommerce division, overseeing data engineering, analytics, and governance while delivering actionable insights and enabling AI/ML initiatives.
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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 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.

Essential Functions

  • 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

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 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

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 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

Travel

  • 0 - 10%

Job Category

Enterprise Data

Compensation Information:

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:

$155,000.00

Maximum Pay Range:

$195,000.00

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. 

Security Notice for Applicants:

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 www.ryder.com/careers.

Should you have any questions regarding the application process or to verify the legitimacy of an interview or Ryder representative, please contact Ryder at [email protected] or 800-793-3754.

Current Employees:

If you are a current employee at Ryder, please click here to log in to Workday to apply using the internal application process.

Job Seekers can review the Job Applicant Privacy Policy by clicking here.

Top Skills

Databricks
Domo
Power BI
Snowflake

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