Head of Data

Job not on LinkedIn

🕒 March 27

🌏 Anywhere in the World

⏰ Full Time

🔴 Lead

📊 Data Scientist

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Logo of Solana Foundation

Solana Foundation

11 - 50 employees

Founded 2017

🤝 Non-profit

₿ Crypto

🌐 Web 3

Non-profit • Crypto • Web 3

Solana Foundation is a non-profit organization based in Zug, Switzerland, dedicated to promoting the decentralization, adoption, and security of the Solana blockchain ecosystem. The foundation supports initiatives like Stake Pools, which enhance censorship resistance and decentralization, and provides grants and funding to projects that further these goals. Solana Foundation also runs a Delegation Program to encourage high-quality validator operations and incentivizes participation through its innovative liquid staking solutions. With a focus on building a censorship-resistant network, the foundation plays a vital role in expanding the decentralized finance (DeFi) space and the overall Solana network.

📋 Description

• Define and own the Foundation’s data strategy—what we measure, why it matters, and how it informs decisions across the organization • Lead a team of analysts and analytics engineers, each owning a specific ecosystem vertical, and synthesize their work into a coherent cross-vertical perspective • Own relationships with the Foundation’s ecosystem data providers, ensuring coverage, quality, and methodological rigor • Work closely with client teams (like Anza, Firedancer, Jito, Temporal, etc.) on data-driven assessments of Solana protocol upgrades • Drive the data infrastructure roadmap and make decisions on tooling, gaps, and new partnerships • Represent the Foundation’s data perspective in executive conversations and external forums

🎯 Requirements

• 5+ years of experience in data, with at least 3 years leading a team or function • Deep familiarity with on-chain data—you understand what the metrics mean and where they break down • Fluency across DeFi, developer ecosystem, stablecoins, payments, and network economics metrics • Strong technical foundation in SQL and Python, with hands-on experience managing a big data platform using modern data warehousing tools (Databricks, Snowflake, ClickHouse, etc.) • Proven track record managing external data vendor relationships—not just consuming outputs • Strong communicator who can translate complex, multi-signal analysis for non-technical stakeholders.

🏖️ Benefits

• None specified

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