Manager Customer Insights & Data Analytics; remote
Salt Lake City, Salt Lake County, Utah, 84193, USA
Listed on 2026-01-16
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IT/Tech
Data Analyst, Data Science Manager
Manager Customer Insights & Data Analytics (remote)
This critical role leads our Supply Chain Core Products team, a high‑performing group responsible for building, enhancing, and operationalizing scalable internal analytics products that drive operational efficiency and data‑informed decision‑making across Ryder’s supply chain and logistics operations. The role focuses on developing persistent analytics solutions—such as AI‑powered labor management systems, predictive forecasting tools, and self‑service Power BI dashboards—leveraging data engineering, AI/ML, and visualization technologies to deliver measurable business impact, including time savings, error reduction, and improved resource utilization.
The Core Products Manager collaborates closely with our internal Supply Chain Product and Analytics Team and adjacent Platform teams to translate business needs into production‑ready features. Key responsibilities include owning the technical roadmap for core products, integrating validated prototypes into scalable builds, managing escalated technical issues, and ensuring high‑quality, maintainable solutions that align with Ryder’s enterprise standards.
This leader will mentor a cross‑functional team of data analysts, AI/data specialists, and UX resources; foster a product ownership culture; and drive continuous improvement through feedback loops, adoption metrics, and innovation. Success is measured by product reliability, user adoption rates, reduction in manual processes, and contributions to Ryder’s digital transformation and operational excellence goals.
Essential Functions- Lead the effort to acquire data surrounding the usage of technical products across the organization, assess data for quality and sustainability, and conduct detailed analytics to support the sales and expansion of Ryder’s products. Elevate analytics beyond data reporting and dashboarding to deliver actionable insights that inform strategic decisions.
- Independently identify process gaps, recommend and implement process improvements.
- Lead innovation in analytical products and the curation of new data sources. Support initiatives to improve data quality, integrity, and accessibility for the marketing organization.
- Engage leadership and internal stakeholders early in the process to promote a more focused project design, greater operating efficiency, and deliver insights with higher impact.
- Provide analytics and customer and experience insights down to the branch and unit level.
- Perform other duties as assigned.
- Detail oriented with excellent follow‑up practices.
- A strong sense of urgency and commitment to get the job done quickly and with high quality.
- Capable of multi‑tasking, highly organized, with excellent time management skills.
- Demonstrates problem‑solving skills and ability to find creative solutions to challenges.
- Decision quality, dealing with ambiguity, business acumen, managing & measuring work, developing, innovation management, command skills, managing vision and purpose.
- Ability to create and maintain professional relationships within all levels of the organization (peers, work groups, customers, supervisors).
- Work cross‑functionally in order to achieve desired results.
- Effective written and verbal communication skills, with the ability to interact with management and across business and IT groups.
- Develops and delivers effective presentations to senior levels of management.
- Ability to work independently and as a member of a team.
- Possesses strong technical aptitude.
- Advanced knowledge of complex query writing using SQL with the ability to join multiple tables, summarize, group, manipulate data, and perform analytical functions.
- Familiarity and knowledge of other programming languages and analytical tools (Python, Power BI, R, Databricks, etc.).
- Good understanding of B2B marketing concepts, practices, and challenges.
- Ability to arrive at conclusions and give recommendations to senior management on information obtained.
- Bachelor’s degree in engineering, economics, finance, statistics, or computer science.
- Master’s degree in business administration (MBA) and/or other master’s…
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