Data Product Lead

As Data Product Lead, you will shape the direction, priorities, and impact of a data team in a fast-paced, high-growth environment.
Combining hands-on analytics with product leadership, you will turn complex data into actionable insights, business recommendations, and growth opportunities.
You will lead the team’s roadmap and delivery while working closely with product managers, engineers, and senior stakeholders.
Partnering with a Data Tech Lead, you will connect business needs with technical execution, ensuring the team focuses on the right problems.
This role offers the opportunity to influence company-wide decisions through analytics, reporting, and data-driven strategy.
You will also coach and develop team members, helping strengthen analytical thinking, communication, and stakeholder collaboration.
Please note: This is a remote position open to candidates based in the EMEA region.

• At least 6 years of experience in data analytics, analytics engineering, or data product management, including experience leading people or setting priorities for a small team.

• Expert-level SQL skills, with the ability to independently query, validate, investigate, and challenge data without relying on engineers.

• Hands-on experience building dashboards and reports using BI tools such as Omni, Superset, or similar platforms.

• Strong business and product acumen, with a track record of using data to uncover revenue, pricing, and growth opportunities.

• Sufficient technical depth to collaborate effectively with data engineers and discuss data warehouse design, pipelines, data models, and technical trade-offs.

• Excellent stakeholder-management and communication skills, with the ability to work across Product, Engineering, Finance, Business Development, and executive teams.

• Strong data storytelling skills, including the ability to translate complex findings into clear, actionable insights for both technical and non-technical audiences.

• Experience in the crypto or DeFi ecosystem, ideally in a data role at a crypto company, or a demonstrable understanding of areas such as cross-chain infrastructure, DEX aggregation, bridges, or wallets.

• Comfort working in a fast-paced, high-growth environment where priorities can shift and processes may need to be developed along the way.

• Python programming skills.

• Experience with dbt and dimensional data modelling.

• Knowledge of semantic layer design and metric definition management.

• Experience preparing data, metrics, and documentation for reliable consumption by large language models (LLMs) and AI agents.

• Machine learning modelling experience, including forecasting, classification, or anomaly detection.

• Familiarity with on-chain data and analytics tools such as Dune Analytics.

• Exposure to streaming data technologies such as Kafka.

Candidates are encouraged to apply even if their experience does not cover every listed qualification but they believe their skills and background would enable them to succeed in the role.