Data Product Owner

Jobgether SRL; Brasil; Híbrido; BRL 180 000 - 280 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Private health insurance

Pension plan

Paid time off

Flexible remote work

Training & development

Global enterprise exposure

Inclusive culture

Resumo da oferta

A Jobgether procura um Data Product Owner para liderar o backlog de iniciativas de dados estratégicas, alavancando governança, qualidade e um data warehouse corporativo.

Você transformará requisitos de negócio em histórias acionáveis, trabalhará com equipes de engenharia, dados e stakeholders, e liderará testes de aceitação para assegurar entregas com alto valor agregado.

Qualificações

• Experiência como Product Owner, Business Analyst ou Data Analyst em dados/analytics.
• Conhecimento de data warehousing e integração de dados.
• Experiência com SQL e Snowflake.
• Excel avançado para análise e reconciliação de dados.
• Conhecimento básico de Python é um plus.
• Experiência em ambientes Agile/SAFe.
• Bom gerenciamento de backlog e critérios de aceitação (UAT).
• Capacidade de colaborar com equipes técnicas e stakeholders.
• Comunicação e facilitação eficazes.
• Pensamento analítico e atenção a detalhes.

Responsabilidades

• Gerenciar o backlog de iniciativas estratégicas de dados alinhadas à estratégia da empresa.
• Converter requisitos de negócio em user stories e critérios de aceitação.
• Priorizar funcionalidades para maximizar valor de negócio.
• Atuar como elo entre stakeholders, data engineers, architects e equipes de entrega.
• Conduzir UAT e definir critérios de validação.
• Apoiar o desenvolvimento de um data warehouse corporativo.
• Promover governança, qualidade de dados e usabilidade entre fontes.

Conhecimentos

Product backlog management

Stakeholder communication

Agile / SAFe

SQL

Snowflake

Excel

Python basics

Ferramentas

Snowflake

SQL

Excel

Python

Descrição da oferta de emprego

Data Product Owner

Empresa : Jobgether

Tipo de Emprego : Periodo Integral

Brazil

This role is a key interface between business stakeholders and data engineering teams, responsible for shaping and delivering high-value data products that power decision-making across Property & Casualty insurance and distribution functions. You will lead the definition and prioritization of product backlogs for enterprise data initiatives, ensuring alignment between business goals and technical execution. The position plays a central role in building and evolving a modern enterprise data warehouse that delivers trusted, scalable, and high-quality data assets across the organization. You will translate complex business needs into clear, actionable requirements and ensure delivery teams execute with precision and consistency. This is a highly collaborative role that requires strong communication, structured thinking, and the ability to balance competing priorities in a fast-paced environment. It is ideal for someone who enjoys working at the intersection of data, business strategy, and technology delivery. The role offers strong visibility and impact across multiple business domains within a large-scale data ecosystem.

Accountabilities:

• Own and manage the product backlog for strategic data initiatives, ensuring alignment with business priorities and enterprise data strategy
• Translate business requirements into clear, actionable user stories and acceptance criteria for technical teams
• Prioritize features, enhancements, and technical tasks to maximize business value and delivery impact
• Act as the primary liaison between business stakeholders, data engineers, architects, and delivery teams
• Lead User Acceptance Testing (UAT), defining validation criteria and ensuring delivered solutions meet business expectations
• Support the development and evolution of a centralized enterprise data warehouse and related data products
• Ensure data quality, consistency, governance, and usability across multiple data sources and systems
• Facilitate Agile ceremonies, including backlog refinement, sprint planning, and stakeholder alignment sessions
• Track delivery progress, manage risks, and communicate updates to both technical and business audiences
• Identify opportunities for automation, process improvement, and optimization of data workflows

Requirements

• Experience as a Product Owner, Business Analyst, Data Analyst, or similar role focused on data or analytics products
• Strong understanding of data warehousing, data integration, and enterprise data management concepts
• Hands‑on experience with SQL and Snowflake for data exploration, validation, and collaboration with engineering teams
• Advanced Excel skills for data analysis, reconciliation, and reporting
• Basic understanding of Python and its role in data processing or automation (nice to have)
• Experience working in Agile or SAFe delivery environments
• Strong knowledge of backlog management, prioritization frameworks, and UAT processes
• Proven ability to collaborate effectively with both technical teams and business stakeholders
• Excellent communication, facilitation, and stakeholder management skills
• Strong analytical thinking, attention to detail, and problem‑solving capabilities
• Ability to manage multiple priorities in a fast‑paced, evolving environment

Benefits

• Comprehensive benefits package including health and wellness coverage
• Private health insurance
• Pension plan and retirement support
• Paid time off and holiday allowancesFlexible work arrangements (remote-friendly)
• Training, learning, and professional development opportunities
• Career growth within a global enterprise environment
• Inclusive and collaborative work culture.