Basic Job Details

Role: Product Intelligence & Data Analytics Manager

Job Type: Full Time

Work Model: Remote

Location: United States

Job Description

We are seeking a Product Intelligence & Data Analytics Manager who will own product analytics, KPI frameworks, and executive-ready insight generation across RyderShare and related technology products.

This role sits at the intersection of Product, Engineering, Customer Success, and Sales Enablement - translating product usage data, Voice of Customer inputs, and competitive signals into structured narratives, measurable KPIs, and clear business decisions.

This is an insight ownership role. You will define what we measure, how we measure it, and how we translate insight into action.

Responsibilities

Product Analytics & KPI Framework Ownership

• 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.

Executive Insight & Data Storytelling

• 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.

Customer & Competitive Intelligence

• 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.

Cross-Functional Influence & Execution

• 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.

Who You Are

Required Qualifications<