Sr Data Product Manager

Lead Data Product Manager: Shape product vision, drive delivery success, optimize backlog, solve complex data issues, and measure product impact.

dLocal

Madrid, Spain
Full-time
Mid-Senior
On-Site

Industry

Fintech
SaaS

Discover more about

dLocal

Headquarters

Montevideo, Uruguay

Company Size

501 - 1000 employees

Funding Stage

IPO / Public

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Job Description

What will I be doing?
  • Co-create and align the Data team's product vision, strategy, and roadmap with overall company goals, collaborating closely with engineering.
  • Lead collaboration with engineering and product teams to ensure successful delivery and adoption of your data products.
  • Manage stakeholder relationships, translating business needs into actionable data solutions.
  • Define and analyze success metrics to measure the impact and value of data products.
  • Optimize the data product backlog, prioritizing initiatives based on business impact, technical feasibility, and cost-benefit.
  • Solve complex data problems, ensuring data quality, integrity, and governance in partnership with Data Engineering.
  • What skills do I need?
  • Proven experience as a Product Manager building data solutions such as Financial reconciliation reports.
  • Executive performance dashboards.
  • Data APIs or consumption-ready datasets for self-service analytics.
  • Data pipelines/datasets for key business processes (e.g., fraud, risk).
  • Strong problem-solving mindset, focusing on clear problem definition before solution.
  • Participation in high-impact projects within business areas.
  • Understanding of data-oriented architectures and analytical modeling.
  • Experience with data products for internal/external clients, including technical/platform products.
  • Fluency in English is mandatory for effective global collaboration.
  • Mandatory SQL skills for data querying and analysis.

  • Nice to Have:
  • Spanish is desirable
  • Experience with cloud platforms like AWS and GCP
  • Experience with Data Governance initiatives
  • Experience with Databricks