Data Product Manager, Quality & Analytics

Powerdot; Porto; Presencial; EUR 36 000 - 60 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Private health insurance

Gym membership

Flexible working hours

Annual offsite in Algarve, Portugal

Team-building events

English training

Snacks, coffee & meal allowance

EV charging discounts

Resumo da oferta

Powerdot owns and operates 12,000+ charging points across Portugal, Spain, France, Belgium, Luxembourg and Poland. We are seeking a Product Manager for Data to own what the team builds and why, shaping data products that matter for pricing, subscriptions, energy and partners.

You will lead the data quality programme, define clear data requirements, and collaborate with data engineers, analysts, data scientists, and cross‑functional teams to drive trustworthy insights and measurable adoption.

Qualificações

• 1–3 years in product management or data-adjacent roles.
• Experience shipping data products or internal platforms that other teams depend on.
• Ability to turn vague requests into precise definitions and plans.

Responsabilidades

• Own the roadmap for the Data team’s products: the governed reporting layer, self-serve analytics, and data models behind pricing, subscriptions, energy and partners.
• Run the data quality and consistency programme across systems holding commercial, operational and charging data, addressing root causes.
• Be the single entry point for data requests: understand needs, prioritise, and say no with rationale.

Conhecimentos

Product management

Data-driven decisions

Communication

Prioritization

Ferramentas

SQL

dbt

Airflow

Metabase

Descrição da oferta de emprego

Powerdot owns and operates 12,000+ charging points across Portugal, Spain, France, Belgium, Luxembourg and Poland. We are seeking a Product Manager for Data to own what the team builds and why, shaping data products that matter for pricing, subscriptions, energy and partners.

You will lead the data quality programme, define clear data requirements, and collaborate with data engineers, analysts, data scientists, and cross‑functional teams to drive trustworthy insights and measurable adoption.