Head of Data (Data Science and Data Engineering)
At a glance
Director-level Data Science role at Aircall. New York Office · $300,000–$350,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Set a company-wide data plan across science, analytics and engineering, linking the work to business goals and measurable results
- Lead and develop data science and engineering teams, covering hiring, career growth and shared ownership
- Set expectations for data quality, governance and security, and oversee the architecture behind pipelines, warehouses and orchestration
- Work with product and engineering on launches, A/B tests and rapid experiments, and with go-to-market teams on forecasting and customer insights
- Bring research and new technologies into product development, then explain recommendations to stakeholders through executive level
What you bring
- Ten to fifteen years across data science and engineering, including at least five years leading people
- Experience leading managers or senior individual contributors across product and go-to-market data teams
- A record of building a multi-year data strategy with executive backing and measurable business results
- Practical knowledge of modern data infrastructure, production-scale ML or AI, statistics, machine learning and causal inference
- Working ability in SQL and Python, plus clear communication with executives and cross-functional partners
Who this fits
This director-level role suits a data leader who has managed other leaders and can guide both data science and data engineering. You’ll lead teams and set direction, while staying technically credible across infrastructure, analytics and AI.
From the employer
Aircall is a unicorn AI-powered communications platform transforming how teams win with customers.
For over a decade, we’ve believed voice builds the strongest business relationships. We bring voice, SMS, WhatsApp, and 250+ integrations together on 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.
We’re 600+ people from 40+ nationalities across Paris, London, Madrid, Berlin, New York, San Francisco, Seattle, Sydney, and Mexico City. We’re ambitious, product-driven, and execution-focused—built for visible impact, fast decisions, and real growth.
Come join us!
The Opportunity
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.
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, 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.
Qualifications:
Required
- 10-15 years of experience in data science and data engineering, including 5+ years in people leadership.
- Experience leading leaders (managers or senior individual contributors) and owning a team across product and GTM data science and data engineering.
- Track record of setting and executing a multi-year data strategy that earned executive support and delivered measurable business impact.
- Hands-on understanding of modern data infrastructure: pipelines, warehousing, orchestration, and cloud data platforms.
- Experience deploying ML or AI systems to production at scale.
- Technical credibility across data science and data engineering, with a solid grounding in statistics, machine learning, and causal inference, enough to guide architecture, hiring, and prioritization decisions.
- Working proficiency in SQL and Python.
- Ability to communicate data concepts clearly and concisely 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, and solution-oriented, with a bias toward action and a love of a good challenge.
- Prior startup experience
Why join us?
🚀 Key moment to join Aircall in terms of growth and opportunities
💆♀️ Our people matter, work-life balance is important at Aircall
📚 Fast-learning environment, entrepreneurial and strong team spirit
🌍 45+ Nationalities: cosmopolite & multi-cultural mindset
💶 Competitive salary package & benefits
DE&I Statement:
At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey.
We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.
We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.
Want to know more about candidate privacy? Find our Candidate Privacy Notice here.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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