Data Product Lead

We're looking for a Data Product Lead to own the direction and output of LI.FI's Data team. This is partially a hands‑on role with a clear focus on analytics and product thinking. You'll spend a significant portion of your time on the data yourself: deep-dive analyses, dashboards, business cases, and sharing insights that shape how we make decisions across the company.

The rest of your time goes to product thinking, prioritisation, stakeholder management, and leading the team.

You'll report to our CTO and line manage the Data team, partnering closely with our Data Tech Lead who owns the technical and infrastructure side. Think of it as the PM-and-tech-lead model: you own the what and why, your tech lead partner owns the how. Together you set the roadmap and priorities for the team.

Please note:

This role is remote within the EMEA region. Your application will not be considered otherwise.

• Own the Data team's priorities, intake, and triage; run team rituals including planning, reviews, and workshops

• Do hands‑on analytics work: deep-dives, dashboards, business cases, and recommendations that change decisions, including data inputs for the weekly report and Monthly Business Review

• Partner with Product Managers to embed tracking and success metrics into PRDs, and align the data roadmap with product roadmaps

• Translate business questions from stakeholders into clear specs, metric definitions, and acceptance criteria the team can deliver

• Act as the quality gate on analyses, dashboards, and datasets before they reach internal or external stakeholders

• Coach and develop the Data team, levelling up team members on problem framing, communication, and stakeholder management

• Partner with the Data Tech Lead to co‑own the roadmap, making sure infrastructure work serves real business needs

• 6+ years in data analytics, analytics engineering, or data product work, with experience leading people or setting priorities for a small team

• Expert SQL: you can pull, validate, and challenge data independently, without relying on engineers

• Hands‑on experience building dashboards and reports in BI tools (Omni, Superset, or similar)

• Strong business and product mindset: you use data to find revenue, pricing, or growth opportunities, not just to answer questions

• Enough technical depth to be a real partner to data engineers; comfortable discussing warehouse design, pipelines, data models, and trade‑offs

• Proven stakeholder management and communication skills, with the ability to work across product, engineering, finance, BD, and C‑suite

• Strong data storytelling: you adapt the message to technical and non‑technical audiences

• Crypto/DeFi domain experience: ideally in a data role at a crypto company, or demonstrable deep understanding of the space (cross‑chain, DEX aggregation, bridges, or wallets)

• Comfortable in a fast‑paced, high‑growth environment where priorities shift and you'll need to build some of the playbook as you go

• Python

• dbt and dimensional modelling

• Semantic layer design and metric definition management

• AI‑readiness: structuring data, metrics, and documentation so they can be reliably consumed by LLMs and agents

• ML modelling experience (forecasting, classification, anomaly detection)

• On‑chain data and tooling (e.g. Dune Analytics)

• Exposure to streaming data (e.g. Kafka)

• Embracing the differences

  • Embrace your own differences

  • Respect and welcome the unique qualities of others

  • See others’ differences as an opportunity to grow

• Own it, do it

  • Own tasks end‑to‑end

  • Hold yourself to a high bar for execution

  • Make bold decisions, and be accountable

  • Understand your limitations and seek for help

• Fail forward

  • Try - don’t be afraid to fail

  • Learn - don’t make the…