Senior Data Product Builder

1 settimana fa

Pavia PV, Provincia di Pavia; Lombardia, Italia Launchmetrics Tempo pieno

Overview

In this role you drive end-to-end data platform missions, focusing on Data Collection and Enrichment Systems. You work within a pod, collaborating across engineers and stakeholders to deliver measurable data improvements. You'll shape data strategy with leadership support, and tackle forward-thinking, AI-centric projects. This is a hands-on, autonomous position where you impact how data fuels a SaaS product for fashion and luxury brands.

Retribuzione / Benefits

  • learning and development allowance
  • location-based benefits
  • flexible work arrangements
  • home office support
  • perks tailored to location
  • autonomy in role

Responsabilità

  • Talk to users to translate needs into measurable product requirements
  • Own missions end-to-end: scope, build with the pod, enable and monitor adoption
  • Master data flow across acquisition, enrichment, and management (datalake, APIs)
  • Define and analyze metrics and KPIs for adoption and performance
  • Monitor market trends to sharpen product thinking
  • Collaborate with engineers, business stakeholders and leadership
  • Contribute to shared tooling and processes to improve data domain quality

Requisiti fondamentali

  • Around 5 years in product management or data management in a SaaS environment
  • Fluent in SQL; comfortable with data modelling, pipelines and APIs
  • Understanding of the data lifecycle from acquisition to delivery; experience with data analytics or data-product problems
  • Business sense about fashion/luxury brands and what data matters to them
  • Discovery instinct; ability to turn fuzzy needs into measurable outcomes
  • Self-sufficient across crafts; capable of rough interface reasoning
  • Clear, simple communication with technical and business audiences; fluent English
  • International team environment; additional languages are a plus
  • User-centric thinking
  • Strong communication
  • Autonomy and ownership
  • SQL
  • Data modelling
  • Data pipelines