Principal Data Product Manager
Overview
As Principal Data Product Manager, you own end-to-end missions within the Data Collection and Enrichment domain to deliver fast, reliable data for the SaaS platform. You work closely with a pod of engineers and stakeholders to translate customer needs into measurable product requirements and track adoption and impact. You shape the data strategy with leadership support, focusing on data quality, lifecycle, and delivery. You will operate autonomously, collaborating across teams in a fast-paced, international environment, with a strong emphasis on data-driven decision making and AI-centric projects.
Retribuzione / Benefits
- growth and development allowance
- location-tailored benefits
- flexible work arrangements
- home office support
- supportive, international team culture
Responsabilità
- Capture and translate user needs into measurable product requirements
- Own end-to-end data missions from scoping to adoption
- Optimize data flow across acquisition, enrichment, and management (datalake, APIs)
- Define and analyze metrics/KPIs for adoption and performance
- Monitor market trends to inform strategy and prioritization
- Collaborate with engineers, business stakeholders, and leadership
- Contribute to shared tooling and processes to sharpen the data domain
Requisiti fondamentali
- 5–10 years in product management or data management
- Fluent in SQL; proficient in data modelling, pipelines, and APIs
- Experience shipping in a SaaS environment with engineers
- Strong business sense for fashion/luxury branding data
- Discovery mindset; ability to turn fuzzy needs into measurable outcomes
- Self-sufficient across crafts and able to move a pod with minimal guidance
- Clear, trusted communicator for technical and business audiences
- Fluent in English; other languages a premio
- Based in Spain, Italy or France with work permit
- Knowledge of data lifecycle from acquisition to delivery
- strong communication
- customer focus
- collaboration across cross-functional teams
- SQL
- data modelling
- data pipelines
As Principal Data Product Manager, you own end-to-end missions within the Data Collection and Enrichment domain to deliver fast, reliable data for the SaaS platform. You work closely with a pod of engineers and stakeholders to translate customer needs into measurable product requirements and track adoption and impact. You shape the data strategy with leadership support, focusing on data quality, lifecycle, and delivery. You will operate autonomously, collaborating across teams in a fast-paced, international environment, with a strong emphasis on data-driven decision making and AI-centric projects.
Retribuzione / Benefits
- growth and development allowance
- location-tailored benefits
- flexible work arrangements
- home office support
- supportive, international team culture
Responsabilità
- Capture and translate user needs into measurable product requirements
- Own end-to-end data missions from scoping to adoption
- Optimize data flow across acquisition, enrichment, and management (datalake, APIs)
- Define and analyze metrics/KPIs for adoption and performance
- Monitor market trends to inform strategy and prioritization
- Collaborate with engineers, business stakeholders, and leadership
- Contribute to shared tooling and processes to sharpen the data domain
Requisiti fondamentali
- 5–10 years in product management or data management
- Fluent in SQL; proficient in data modelling, pipelines, and APIs
- Experience shipping in a SaaS environment with engineers
- Strong business sense for fashion/luxury branding data
- Discovery mindset; ability to turn fuzzy needs into measurable outcomes
- Self-sufficient across crafts and able to move a pod with minimal guidance
- Clear, trusted communicator for technical and business audiences
- Fluent in English; other languages a premio
- Based in Spain, Italy or France with work permit
- Knowledge of data lifecycle from acquisition to delivery
- strong communication
- customer focus
- collaboration across cross-functional teams
- SQL
- data modelling
- data pipelines