Data Product Lead

LI.FI; Berlin; Remote; EUR 120,000 - 180,000; Full time

Benefits offered by this job

Annual offsites

30 days PTO

Flexible remote days

Flexible working hours

Equity from day 1

Equipment budget

Job summary

LI.FI is seeking a Data Product Lead to own the direction and output of the Data team. This role blends hands-on analytics with strong product thinking, guiding dashboards, business cases, and insights that shape company decisions.

You will lead planning, prioritisation, and stakeholder alignment while coaching the team. You’ll report to the CTO, partner with the Data Tech Lead, and shape the data roadmap as part of an ambitious, remote-EMEA team.

Qualifications

• 6+ years in data analytics, analytics engineering, or data product work, with leadership experience.
• Expert SQL: pull, validate, and challenge data independently.
• Hands-on dashboards and reports in BI tools (Omni, Superset).
• Strong business/product mindset: use data for revenue, pricing, growth.
• Technical depth to partner with data engineers on pipelines and models.
• Proven stakeholder management and communication across functions.
• Strong data storytelling for technical and non‑technical audiences.
• Crypto/DeFi domain experience in data roles
• Comfortable in fast‑paced, high-growth environments where playbooks evolve.

Responsibilities

• Own Data team's priorities, intake, triage; run planning, reviews, and workshops.
• Do hands-on analytics: deep-dives, dashboards, business cases, weekly/monthly inputs.
• Partner with Product Managers to embed tracking and align data roadmap with product roadmaps.
• Translate stakeholder questions into clear specs, metrics, and acceptance criteria.
• Act as quality gate on analyses, dashboards, and datasets.
• Coach and develop Data team; raise problem framing and stakeholder management.
• Co-own the roadmap with Data Tech Lead to ensure infrastructure serves business needs.

Skills

SQL

Data analytics

Analytics engineering

Data product leadership

Stakeholder management

Data storytelling

Product mindset

Cross-functional collaboration

Mentoring

Crypto/DeFi knowledge

Tools

Omni

Superset

Python

dbt

Dune Analytics

Kafka

Data warehouse

Job description

A quick run-down of the job

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.

What you'll do

• 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

What makes a good candidate

• 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

Nice to have

• 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)

Company culture

• 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 same mistake twice

  • Adapt - grow with the experience

• Have fun together

  • Take the time to get to know and understand each other better

  • Don’t take yourself too seriously and keep it light‑hearted

  • Fun should be coming from a place of love and respect

What you’ll get

• Annual company offsites — we've explored Thailand, Vietnam, Morocco, and Greece together. Next stop for 2027: TBD!

• 30 days of PTO

• Flexible remote days

• Flexible working hours

• Equity participation from day 1

• Entitlement to work computer (choice of equipment)

• An annual 1,000€ personal development budget once you have worked 6+ months (pro‑rated the first year)

• A one‑time 1,000€ remote budget to use on coworking, office setup, etc.

If you join us as an independent contractor, you’re only entitled to the first five benefits of this list.

Application process

LI.FI is an equal opportunity employer. We encourage individuals of all backgrounds to apply. Join us in our dedication to fostering a workplace that values and respects each team member's unique contributions.

Shortlisted candidates will undergo a comprehensive interview process, including a people operations interview, a take‑home assignment, a meet‑the‑team & founder interview, and a reference check.