Product Intelligence & Data Analytics Manager

Baton is Ryder’s in-house product development group focused on harnessing emerging technologies to redefine transportation and logistics. The Product Intelligence & Data Analytics Manager will own product analytics, KPI frameworks, and executive-ready insight generation across RyderShare and related technology products, translating data into actionable insights for cross-functional teams.

Responsibilities:

• 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

Requirements:

• 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
• 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
• 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
• 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