Data Product Lead

Jobgether; Netherlands; Remote; EUR 110,000 - 160,000; Full time

Benefits offered by this job

Annual company offsites

30 days paid time off

Flexible remote working arrangements

Flexible working hours

Equity participation from day one

Company computer provided

Development budget €1,000 after six mo

Remote-work budget €1,000

Job summary

Jobgether is seeking a Data Product Lead based in the Netherlands or remote within the EMEA region. You will drive the data team's priorities, combine hands-on analytics with product leadership, and translate business needs into data-driven strategy.

You will partner with Product, Engineering, Finance, and executives to deliver measurable impact. You will coach team members, define tracking plans, and ensure data infrastructure aligns with business goals, including revenue and growth

Qualifications

• 6+ years in data analytics, analytics engineering, or data product management with people leadership.
• Expert-level SQL, able to query and validate data independently.
• Hands-on in dashboards and reports with BI tools (Omni, Superset or similar).
• Strong business acumen and track record of data-driven growth opportunities.
• Collaborates with engineers on data pipelines and warehouse design.
• Excellent stakeholder management and cross-functional communication.
• Data storytelling skills for technical and non-technical audiences.
• Experience in crypto/DeFi data roles or related domain knowledge.

Responsibilities

• Own the data team's priorities, intake, planning, and rituals.
• Perform hands-on analysis, build dashboards, and deliver actionable recommendations.
• Prepare data insights for weekly reports and Monthly Business Reviews.
• Define tracking plans with Product Managers and align data roadmap to priorities.
• Translate questions into specs, metrics, and acceptance criteria.
• Review analyses and datasets for accuracy before sharing with stakeholders.
• Coach data team members and strengthen communication and stakeholder skills.
• Co-own the data roadmap with the Data Tech Lead and ensure relevant investments.
• Identify opportunities to improve revenue, pricing, growth, and performance.

Skills

People leadership

SQL

BI dashboards

Stakeholder management

Data storytelling

Crypto/DeFi knowledge

Tools

Omni

Superset

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Product Lead based inNetherlands.

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.

Accountabilities

• Own the Data team’s priorities, request intake, and triage, and facilitate team rituals such as planning sessions, reviews, and workshops.

• Conduct hands-on analysis, build dashboards and business cases, and deliver recommendations that influence strategic and operational decisions.

• Prepare data insights for recurring business reports, including weekly reporting and Monthly Business Reviews.

• Collaborate with Product Managers to define tracking plans and success metrics in product requirements documents, aligning the data roadmap with product priorities.

• Translate stakeholder questions into clear specifications, metric definitions, and acceptance criteria that enable the team to deliver meaningful outcomes.

• Review and validate analyses, dashboards, and datasets to ensure accuracy, quality, and reliability before sharing them with internal or external stakeholders.

• Coach and develop Data team members, strengthening their problem-framing, communication, and stakeholder-management skills.

• Co-own the data roadmap with the Data Tech Lead, ensuring infrastructure and technical investments address real business needs.

• Identify opportunities to improve revenue, pricing, growth, and business performance through data-driven insights.

Requirements

• 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.

Nice to have:

• 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.

Benefits

• Annual company offsites, with previous destinations including Thailand, Vietnam, Morocco, and Greece.

• 30 days of paid time off.

• Flexible remote working arrangements.

• Flexible working hours.

• Equity participation from day one.

• A work computer, with a choice of equipment.

• An annual €1,000 personal development budget after six months of employment, prorated during the first year.

• A one-time €1,000 remote-work budget for coworking, home-office setup, or related expenses.