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Director Data Sourcing & Strategy (m/f/d)

CompraTica Empleos

EMP:Management
Berlin
Tiempo Completo
Remoto
0 vistas

Descripción

IntroAdsquare's mission is centered on:Passion: Solving complex challenges with exceptional people, technology, and data.

Niche: Specializing in Location Intelligence for Programmatic Advertisers.

Our work is guided by our core values, and we look for candidates who embody them:Drive: Turning ambition into action that brings valuable outcomes.

Resilience: Adapting, persevering, and growing stronger through challenges.

No BS: Upholding honesty, transparency, and clear communication.

Humble: Valuing modesty and letting results speak for themselves.

Moral Compass: Acting with fairness, integrity, and respect.

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the teamData sits at the heart of everything Adsquare does — it's the raw material behind every product we sell

This role leads our data sourcing function: a small, focused team responsible for the quality, legality, and strategic positioning of the data we bring in.

You'll work hand-in-hand with Product, Legal, and Engineering, and grow the function as Adsquare scales.

Your MissionData is our product.

You'll own the data we bring in — what we source, on what terms, to what standard — and grow that into a strategic function as Adsquare scales.

A builder's role: you'll lead a small team today and shape what the function becomes.

Your Profile6+ years in data acquisition, data partnerships, or strategic partnerships within adtech, martech, or the wider data ecosystem — with real depth, not just deal volume.

A track record of both sourcing strategy and execution: deciding what data matters, then securing it on good terms.

Direct experience negotiating and managing data partnerships, ideally across multiple markets.

Deep grounding in privacy and compliance — GDPR, CCPA, consent frameworks, privacy-enhancing technologies.

Strong analytical instinct — able to evaluate data on quality, scale, coverage, and financial viability, not just take a supplier's word for it.

A builder — comfortable shaping a function rather than inheriting a finished one, and comfortable in ambiguity.

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