Quick Summary
Overview
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.
Technical Tools
DataData Manager
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.
- 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.
- 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.
- Gross salary: from 6500 EUR/month. Keep in mind that we are open to discuss a different salary based on your skills and competencies.
- Growth & Learning: 40+ internal learning options, external conferences, mentorship, and year-round knowledge-sharing.
- Health & Well-being: Private health insurance, psychotherapy, on-site well-being consultants, 24/7 gym access, and a wellness app.
- Celebration & Community: Team events, an overseas workation, quarterly team-building budgets, and plenty of ways to mark milestones together.
- Plus: bonus vacation days, paid life-moment days off, barista coffee, and all the tools you need. See the full list of benefits here:
Up for the challenge? Let’s talk!
Location & Eligibility
Where is the job
Vilnius, Lithuania
Hybrid — some on-site time required
Who can apply
LT
Listing Details
- Posted
- July 15, 2026
- First seen
- July 15, 2026
- Last seen
- July 15, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 70%
- Scored at
- July 15, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust

Oxylabs
lever
Oxylabs is a premier web data gathering company, offering extensive proxy solutions for accurate and efficient data extraction.
View company profileExternal application · ~5 min on Oxylabs's site
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