Product Intelligence & Data Analytics Manager

Baton is Ryder’s in-house product development group focused on harnessing emerging technologies to redefine transportation and logistics. With $10B in freight under management, our technology reaches every part of the U.S. economy.

We design and ship category-defining software that enables Ryder and its 50,000+ customers—including some of the world’s most well-known brands—to plan and execute freight intelligently, efficiently, and cost-effectively. Our work includes everything from customer-facing software to the data platform that will power the next era of innovation at Ryder.

• →Own RyderShare product analytics end-to-end, including adoption, activation, retention, feature utilization, and operational effectiveness.
• →Define and maintain core product KPIs aligned to customer value and business outcomes.
• →Ensure KPI consistency, accuracy, and executive trust across dashboards and reporting layers.
• →Partner with Product Managers to evaluate feature performance and inform roadmap prioritization using outcome-focused insights.

• Translate complex product usage, customer behavior, and market signals into clear narratives explaining what is happening, why it matters, and what to do next.
• Move stakeholders beyond descriptive reporting toward recommended actions.
• Design and maintain executive-ready dashboards and structured insight narratives.
• Proactively surface risks, trends, opportunities, and recommended decisions across product and customer performance.

• Tie product usage and adoption data to operational outcomes, customer health, renewals, and growth conversations.
• Synthesize quantitative analytics with Voice of Customer inputs and qualitative insights.
• Maintain visibility into competitive dynamics and identify differentiation opportunities or risk areas.
• Provide account-level and market-level analysis to support cross-functional decision-making.

• Drive analysis projects from ambiguous problem definition through structured delivery.
• Influence Product, Engineering, Customer Success, and Sales without direct authority.
• Build and scale a structured Product Intelligence capability within Customer Success Enablement.

• Product Analytics Expertise & In-Depth Insights
  • 3-5+ years of hands-on experience in product analytics within SaaS or technology-enabled environments.
  • Strong ability to extract insights from product usage, engagement, activation, retention, and feature adoption data.
  • Experience defining and maintaining KPI frameworks aligned to customer and business outcomes.
• Data Storytelling Capability
  • Ability to translate complex product, data, and market signals into clear narratives and directional strategy.
  • Can present findings to both technical and non-technical audiences, including executive stakeholders.
  • Moves stakeholders beyond descriptive reporting toward recommended actions.
  • Demonstrated ability to ramp quickly on new domains and complex industries.
• Project Management & Stakeholder Management
  • Experience managing cross-functional stakeholders across Product, Engineering, Customer Success, and Sales.
  • Ability to drive analysis projects from ambiguous problem definition through execution and delivery.
  • Strong cross-functional influence without direct authority.
• Data Fluency & BI Execution
  • Strong SQL proficiency with the ability to independently structure, clean, validate, and analyze data from multiple sources (including Snowflake or similar cloud data warehouses).
  • Experience building and maintaining trusted dashboards in Power BI (or similar BI tools), ensuring KPI accuracy and consistency across reporting layers.
  • Experience working within structured data warehouse environments and handling data across multiple systems (VoC, CRM, product usage platforms).

• 5-8+ years in product analytics, business intelligence, or data analytics within SaaS or technology-enabled environments.
• Experience synthesizing quantitative product analytics with Voice of Customer (VoC), customer feedback, and qualitative market signals.
• Experience contributing to competitive positioning, differentiation analysis, or market intelligence initiatives.
• Background in B2B enterprise SaaS, logistics, freight, supply chain, or operationally complex platforms.
• Experience operating within organizations with established analytics maturity and standardized KPI frameworks.
• Exposure to cross-functional enablement work supporting Customer Success, Sales, and executive teams.

Compensation Range: The annual base salary range for this position is $90,000 - $140,000*. Compensation will vary based on factors including location, skill level, proficiencies, transferable knowledge, and experience.

• Have an immediate impact:
  • With Ryder’s existing customer base of 50,000+ companies and an internal headcount of 43,000, the scale and impact of our products will be large and far-reaching, from day one.
• Opportunity to grow and lead in a Fortune 500 company:
  • You’ll get to work in a rapidly growing, startup-like environment while having the stability and backing of Ryder and its full executive team.
• Creative, fast-paced environment to solve impactful problems in Supply Chain:
  • We’re going to design completely new tools for an industry that hasn’t been rethought in decades. And to do this, we need people who think differently.