Head of Data (Data Science and Data Engineering)
Aircallioinc · New York Office; San Francisco Office
About this role
**Aircall — Head of Data (Data Science and Data Engineering)** Aircall is an AI-powered communications platform transforming how teams win with customers. We bring voice, SMS, WhatsApp, and 250+ integrations into one seamless workspace—so every customer conversation drives revenue, resolves issues faster, and builds trust. Our AI Voice Agents handle routine interactions while your team leads the conversations that matter most. Used by 24,000+ businesses worldwide. --- ## The Opportunity As **Head of Data**, you’ll lead both **Data Science** and **Data Engineering** teams and set the vision for how Aircall uses data and AI to grow. You’ll own the full data lifecycle—from trustworthy platforms and pipelines to models, experiments, and insights—and build a world-class data organization. --- ## Key Responsibilities - Define and execute Aircall’s **end-to-end data strategy** across data science, analytics, and data engineering, tied to company goals and measurable business impact. - Lead, mentor, and grow the **Data Science and Data Engineering** teams (hiring, career development, and a culture of ownership). - Set standards and best practices for **data quality, governance, and security**. - Own the **data platform architecture** (pipelines, warehousing, orchestration, reliability) so data is trusted, scalable, and accessible. - Partner with product and engineering on **feature launches**, **A/B testing**, and rapid experimentation. - Partner with GTM teams on **ARR forecasting**, **customer segmentation**, **segment targeting**, and improving sellers/AM productivity with **AI-enhanced insights**. - Stay current on emerging research and technologies and apply them to product design and development. - Communicate insights and recommendations clearly to stakeholders at all technical levels, including executives. --- ## Qualifications ### Required - **10–15 years** of experience in data science and data engineering, including **5+ years** in people leadership. - Experience leading leaders and owning a team across product and GTM data science/data engineering. - Track record setting and executing a **multi-year data strategy** with executive support and measurable business impact. - Hands-on understanding of modern data infrastructure: **pipelines, warehousing, orchestration, cloud data platforms**. - Experience deploying **ML/AI systems to production at scale**. - Strong technical credibility across data science and data engineering, grounded in **statistics, machine learning, and causal inference**. - Proficiency in **SQL and Python**. - Ability to communicate data concepts clearly to executives and cross-functional partners. ### Preferred - B.S., M.S., or PhD in **Statistics, Computer Science, Math, Operations Research, Physics, Economics**, or another quantitative field. - Knowledge of **NLP, LLMs, or Bayesian testing**. - Coachable, resilient, solution-oriented, with a bias toward action. - Prior **startup experience**. --- ## Base Salary Range **$300,000 — $350,000 USD** --- ## Why Join Us? - 🚀 Key moment to join Aircall in terms of growth and opportunities - 💆♀️ People matter—work-life balance is important - 📚 Fast-learning environment with entrepreneurial spirit and strong team culture - 🌍 45+ nationalities and a multi-cultural mindset - 💶 Competitive salary package and benefits --- ## DE&I Statement At Aircall, diversity, equity, and inclusion are core to our journey. We promote active inclusion to foster belonging,
Listing freshness
CronJobs last confirmed this listing 57m ago. If its source stops confirming the opening for seven days, this page is removed from active inventory.