Head of Data, Analytics, AI

Oxylabs.io

Lead the data, analytics, and AI strategy at a company providing proxy and web data solutions. Oversee a diverse team in data engineering and analytics to drive business insights.

Posted 7/15/2026full-timeVilnius • 🇱🇹 LithuaniaLead💰 €6,500 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data and analytics functions, with a focus on building scalable data platforms and fostering a data-driven culture. Strong leadership skills are essential for guiding multi-disciplinary teams and ensuring alignment with business objectives.

Highest-signal resume keywords

Data Strategy DevelopmentTeam LeadershipScalable Data Platform ModernizationBusiness AcumenAnalytics and AI Vision

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringAnalyticsAI ImplementationData Platform DevelopmentData-Driven Culture Building

Soft Skills

CollaborationTrust BuildingPeople ManagementPragmatic Leadership

Industry Keywords

Data ScienceAnalytics EngineeringBusiness AnalyticsData Function Management

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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.