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Head of Data, Analytics & AI at Oxylabs | Swiftcruit
We’re a team of 500+ professionals who develop cutting-edge proxy and web data scraping solutions for thousands of the world’s best known businesses, including Fortune 500 companies.
What’s in store for you:
You’ll be developing complex products with high coding standards, maintaining our own infrastructure, handling petabytes of data, and solving challenges on a daily basis. We got you covered with a team of strong professionals to support you, a well-built tech stack, and loads of ownership.
Our data team owns the full analytics and data engineering backbone - from a reliable warehouse to the insights that finance, marketing, and commercial teams across our brand depend on to make decisions. As Head of Data, Analytics & AI, you will lead a multi-disciplinary group of analytics engineers, data engineers, and analysts, and set the direction for how we turn data and AI into a real competitive advantage.
In this role, you will:
Own the full tech stack for data and analytics - choose the right technologies, keep the platform modern and scalable, and make sure it delivers on business expectations.
Lead a multi-disciplinary team directly - analysts, analytics engineers, and data engineers - guiding how they work and how well they support their stakeholders.
Ensure the data function is a trusted, collaborative partner across the business.
Define and champion a vision for how analytics and AI can drive competitive advantage.
Set clear priorities, track outcomes and hold the team accountable for results.
Bring solid business acumen with a strong understanding of analytics and data engineering — no hands-on execution expected.
Your skills & experiences:
At least 5 years of proven experience leading a company-wide data, analytics, AI, or data science function, with solid people-management track record.
Strong analytical and engineering background - you understand the engineering side deeply, have a clear point of view on analytics, and are happy to roll up your sleeves even though hands-on execution is not the core of the role.
Strong track record of translating business goals into a data and AI strategy and embedding a data-driven, experimentation culture.
Demonstrated success building and modernising scalable data platforms, operating models, and tooling.
Being a leader who builds trust across the team, values different perspectives, and creates strong collaboration in a pragmatic way.
