Senior Data Product Owner

Onzze

. Manage the end-to-end lifecycle and pipelines of data products .

Posted 10/21/2026full-timeBarueri • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing the lifecycle of data products, ensuring data quality, security, and accessibility while leveraging Agile methodologies for strategic decision-making. Proficient in data analysis and product management within the financial services sector, utilizing advanced SQL and BI tools for optimization.

Highest-signal resume keywords

Data Product ManagementAdvanced SQL ProficiencyCloud Ecosystems (AWS, GCP, Azure)BI Tools (Looker, Tableau, BigQuery)Agile Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData ConsultingData GovernanceData Quality AssuranceData PrivacyData SecurityData AccessibilityData InteroperabilityProduct Metrics AnalysisFinancial Data Analysis

Soft Skills

Strategic LeadershipCommunicationCollaborationDecision-MakingProblem-Solving

Tools & Technologies

JiraAha!ServiceNow

Industry Keywords

Financial ServicesData ProductsAgile MethodologiesScrumKanban

Tech Stack

Tools & technologies

AWSAzureBigQueryCloudGoogle Cloud PlatformServiceNowSQLTableau

About the role

Key responsibilities & impact

Manage the end-to-end lifecycle and pipelines of data products
Lead strategic initiatives to leverage and maximize the value of data across business areas
Ensure the governance, reliability, quality, privacy, security, self-descriptiveness, accessibility, and interoperability of data products
Serve as a bridge between internal data product consumers, operations and engineering teams, and leadership
Analyze product metrics and financial data to identify optimization and value-generation opportunities
Define and execute data product strategies and visions
Guide decision-making using Agile methodologies (Scrum/Kanban)

Requirements

What you’ll need

Advanced or fluent English for daily communication with global teams
Strong experience in data product management, data analysis, or data consulting, preferably in the financial services sector
Advanced SQL proficiency for data exploration and analysis
Hands-on experience with cloud ecosystems (AWS, GCP, or Azure)
Experience working with structured and unstructured data
Strong experience with BI tools (Looker, Tableau, BigQuery, etc.)
Hands-on experience managing requests and products through tools such as Jira, Aha!, or ServiceNow
Knowledge and ongoing application of Agile methodologies

Benefits

Comp & perks

Relaxed and dynamic work environment
Continuous learning through the development of major projects
Opportunity to work with major national and international clients