Dan el A ris m en d ez M urillo

Owned data & analytics product strategy, roadmap, and KPIs to power reporting, experimentation, and AI use cases across the business. Led work to make semantic layers usable by AI agents and ensure people/agents can answer business questions using trusted, well-defined metrics. Led product teams for churn prediction and Customer 360 (unified B2B/B2C customer view). Acted as data & analytics partner to the leadership of a 1,000-person business unit, aligning engineering, analytics, and business priorities.

Shaped data & analytics strategy and rolled out internal developer platform products including AI coding assistants, provisioning, secrets management, and cost insights. Owned user research and data collection to understand developer needs, and improved delivery by reducing backend service lead time from ~3 weeks to ~30 minutes through standardized practices, templates, and automation. Co-authored a federated governance framework that shortened GenAI use-case lead times from months to weeks, delivering over USD 1M in savings through unified and de-duplicated tooling and infrastructure.

Owned data and insights strategy, roadmap, and delivery for internal PaaS and external B2B SaaS products, setting how teams measured data adoption and success. Partnered with product, design, and engineering leaders, and with directors/VPs across developer experience and tech platforms to shape roadmaps. Grew MAUs by prioritizing fixes to app crashes, startup time, and network usage, increasing user satisfaction from 50% to 75% by identifying key user flows for improvement. Hired and led cross-disciplinary teams across data science, data engineering, and user research.