Head of Data
Required skills
8–12+ years in data roles, including significant leadership experience, Proven track record scaling data platforms in high-growth environments, Experience leading and hiring high-performing technical teams, Deep experience with production pipelines, Strong background in modern data stack architecture
Preferred skills
Strong programming skills (Python preferred), Experience with GCP (BigQuery, Cloud Storage, Cloud Functions, Workflows, CloudSQL), Familiarity with DBT, Terraform, Experience designing scalable data models and pipelines, Proven experience of running ML pipelines in production
Technologies
Python, GCP (Cloud Functions, Workflows, CloudSQL, Cloud Storage, BigQuery), DBT, Python (polars, scikit-learn, ...), GitHub Actions, Terraform
Responsibilities
Own the Data Vision & Strategy, Define and execute Ravio’s data roadmap across engineering, science, governance, and analytics, Ensure our data platform scales to support thousands of additional customers globally, Align data initiatives directly with product strategy and company objectives, Build & Lead a World-Class Data Team, Hire, mentor, and develop exceptional Data Engineers, Analysts, and Data Scientists, Create a high-performance culture that balances ambition with accountability and trust, Establish clear standards for technical excellence, documentation, testing, and CI/CD, Act as a thought partner to founders and senior leadership, Architect for Scale, Overseer the evolution of our data infrastructure on GCP, Ensure pipelines are robust, observable, cost-efficient, and production-grade, Drive improvements in pipeline reliability, testing, deployment workflows, and monitoring, Lead architectural decisions for new product areas and 0→1 data initiatives, Ensure Data Quality, Governance & Security, Define company-wide best practices for data governance and compliance, Maintain the highest standards for data quality, validation, and lineage, Own security and privacy practices for sensitive compensation data, Cross-Functional Leadership, Partner closely with Product, Engineering, Customer Success, Operations, and Commercial teams, Translate complex data challenges into business outcomes, Enable better decision-making across the company through analytics and insight
Seniority
Head of Data
Domain
Compensation, Data Science, Data Engineering, Analytics
