Senior Data Product Manager
New
J
JobgetherData & Analytics
BrazilFull-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Required Skills
- AgileArtificial IntelligenceProduct ManagementData modelingGenerative AIData analytics
Requirements
- Proven experience as a Data Product Manager, Product Manager, or equivalent role.
- Experience managing data products, datasets, data APIs, analytics platforms, or data consumption layers.
- Strong understanding of the data lifecycle, including collection, transformation, governance, and consumption.
- Experience defining and prioritizing product backlogs.
- Ability to conduct discovery processes, define requirements, and align stakeholder expectations.
- Experience working with agile methodologies and product management practices.
- Strong analytical skills and a data-driven approach to decision-making.
- Excellent communication skills, with the ability to connect business teams and technical professionals.
- Experience defining and monitoring product KPIs and success metrics.
- Knowledge of AI and Generative AI applications in data products, automation, or information enrichment.
Responsibilities
- Lead the evolution of data products aligned with strategic business objectives and user needs.
- Conduct discovery activities, including research, interviews, analysis, and stakeholder discussions to identify opportunities.
- Define, prioritize, and manage product backlogs for data solutions.
- Translate business needs into functional requirements and support technical discussions with engineering teams.
- Collaborate with engineers, data analysts, data scientists, and business stakeholders to ensure valuable deliveries.
- Manage the complete data product lifecycle, from concept definition to implementation and performance measurement.
- Ensure products meet quality, governance, security, and usability standards.
- Define and monitor success metrics, adoption indicators, and value-generation KPIs.
- Support the application of AI and Generative AI initiatives within data products and business processes.
- Promote best practices related to data quality, cataloging, reliability, and data-driven culture adoption.
View Full Description & ApplyYou'll be redirected to the employer's site
