Aircall is a place where voices are valued. Data is the backbone of how we make decisions, powering the products, insights, and customer experiences that drive our revenue and profitability. As our Head of Data, you will lead both our Data Science and Data Engineering teams and set the vision for how Aircall uses data and AI to grow. You will own the full data lifecycle, from the platform and pipelines that make data trustworthy to the models, experiments, and insights built on top of it, and you will build a world-class data organization along the way.

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, including hiring, career development, and a culture of ownership.

Set standards and best practices for data quality, governance, and security across both teams.

Own the data platform architecture (pipelines, warehousing, orchestration, and reliability) so data is trusted, scalable, and accessible across the company.

Partner up with the product and engineering teams on feature launches, A/B testing and rapid experimentation.

Partner with the GTM teams to land accurate numbers of ARR forecasting, customer segmentation, segment targeting and enhancing sellers/AMs day to day productivity with AI enhanced insights on prospects and existing customers

Keep the team current on emerging research and technologies, and apply them to product design and development.

Communicate insights and recommendations clearly to stakeholders at every technical level, up to the executive team, and build trust by addressing their real needs.

Head of Data (Data Science and Data Engineering)

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Aircall

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