Product Owner - Data

New
J
JobgetherResearch & Development
BrazilFull-TimeMiddle
Salary not disclosed
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Job Details

Languages
Fluent English
Required Skills
PythonSQLMicrosoft Power BIProduct ManagementMicrosoft ExcelStakeholder managementDatabricksAzure DevOpsData management

Requirements

  • Strong knowledge of data management frameworks and principles.
  • Proficiency in data analysis and visualization tools such as Excel, SQL, Power BI, and Python.
  • Working knowledge of Databricks and Azure DevOps.
  • Experience working in international environments and matrix organizations, coordinating stakeholders.
  • Ability to engage confidently with VP- and C-level business stakeholders.
  • Fluent English communication skills, both written and verbal.
  • Autonomous, creative, organized, and transparent working style.
  • Detail-oriented approach with a strong analytical and product mindset.
  • Proactive, service-oriented, and client-focused attitude.

Responsibilities

  • Own the end-to-end delivery of prioritized data assets, ensuring business-critical data is made available securely, reliably, and within agreed timelines.
  • Track scope, commitments, milestones, and delivery progress, identifying risks early and escalating issues when necessary.
  • Lead the discovery and design of data needs by identifying, documenting, and maintaining data asset pipelines, metadata, and use-case requirements.
  • Drive data ingestion and data asset development, coordinating scope and delivery with dedicated technical build squads.
  • Ensure compliance with architecture, security, privacy, and data governance standards.
  • Maintain essential documentation throughout the data lifecycle, including data contracts, mappings, data dictionaries, and governance records.
  • Lead and coordinate technical build squads to deliver standardized, documented, reusable datasets.
  • Ensure data assets are properly documented and accessible to users through the data marketplace.
  • Coordinate stakeholders across business teams, support functions, IT, and global data hubs.
  • Own data quality by defining key quality indicators, monitoring observability, and supporting root-cause analysis.
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