TL;DR

Head of Data Products (Web3): Leading the evolution of Web3 data standards and taxonomy and building data-driven products for internal and external users with an accent on research, data quality, and schema management. Focus on engaging with blockchain projects, verifying on-chain data, and ensuring industry-standard taxonomy.

Company

Our client is a company in the Web3 sector.

What you will do

Evolve the TGS (The Grid Schema) taxonomy, ensuring it captures new Web3 primitives and supports research efforts.
Directly engage with blockchain projects to review and verify information against on-chain data.
Verify smart contract addresses, deployment dates, token standards, and on-chain activity.
Maintain consistency across profileTypes, productTypes, and assetTypes, and identify schema gaps.
Play a key part in product planning, creating tickets, and translating high-level vision into requirements.
Bridge the gap between pure research and data engineering teams, translating complex Web3 concepts into structured data.
Stay current with Web3 developments, new protocols, and emerging patterns, understanding different blockchain architectures.

Requirements

3-5+ years experience in traditional business environments (finance, consulting, enterprise software, or similar)
2-3+ years of Web3/blockchain research and analysis
Experience with on-chain data verification using blockchain explorers and analytics tools.
Strong understanding of smart contracts, token standards, and blockchain architecture.
Experience conducting due diligence, interviews, or vendor assessments.
Excellent verbal and written communication for technical documentation and stakeholder engagement.
Demonstrated ability to identify discrepancies between claimed and actual information.
Experience with data categorization, taxonomy development, or information architecture.
Understanding of JSON schemas and basic data structures.

Nice to have

Basic Python knowledge for data validation scripts.
Experience with MySQL and database normalisation rules.
Understanding of ETL concepts and data pipelines.
Experience with data quality frameworks.
Background in library science, information systems, or similar fields.
Knowledge of financial markets and traditional business structures.
Exposure to traditional KYB or KYC processes, regulatory licensing, and crypto regulation.
Experience with GitHub/Linear and collaborative development workflows.
Management and leadership experience.