Data Platform Lead & Strategy (Hybrid, Amsterdam)

Harnham

Amsterdam

Hybrid

EUR 90,000 - 100,000

Full time

2 days ago
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Benefits offered by this job

Central Amsterdam office
Hybrid work model

Job summary

Harnham in Amsterdam is seeking a senior data leader to own the data function, combining hands‑on architecture with people leadership, guiding the roadmap, standards, and future direction of the data capability while partnering with senior stakeholders.

You will lead a growing data team across engineering, analytics, and ML, drive governance, production data products, and collaborate with commercial units to unlock measurable business value.

Qualifications

  • Experience leading a data team.
  • Strong SQL and Python proficiency.
  • Hands-on with cloud-based data platforms.
  • Experience deploying data products and ML models.
  • Excellent stakeholder communication.

Responsibilities

  • Lead a growing data team and coach/mentor staff.
  • Own the technical direction of the data platform and data roadmap.
  • Deliver production-grade data products and ML solutions.
  • Drive governance, data modelling standards, and KPI definitions.
  • Partner with commercial stakeholders to identify value opportunities.
  • Support development of self-service analytics and reporting.
  • Contribute through architecture design, coding, and technical leadership.
  • Expand capabilities in pricing, forecasting, and commercial optimisation.

Skills

People management
Data engineering
Data science
Analytics
Cloud data platforms
SQL
Python
dbt
Airflow
Production ML
Data governance
Stakeholder management
A/B testing
Personalisation

Tools

dbt
Airflow
BigQuery
Google Cloud Platform
Tableau

Job description

Harnham in Amsterdam is seeking a senior data leader to own the data function, combining hands‑on architecture with people leadership, guiding the roadmap, standards, and future direction of the data capability while partnering with senior stakeholders.

You will lead a growing data team across engineering, analytics, and ML, drive governance, production data products, and collaborate with commercial units to unlock measurable business value.

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