[ Job - 31855] Data Product Manager, Brazil

Role overview

Lead the full lifecycle of enterprise data products as a Data Product Manager, owning everything from ideation through deployment and continuous optimization. The role blends strategic roadmap definition with hands-on technical engagement, shaping how data initiatives are prioritized, delivered, and measured for large enterprise clients. It is a leadership position for someone with genuine technical depth in data who can operate credibly with both engineers and business executives.

Responsibilities

- Manage the complete data lifecycle, from generation through pipelines to enablement, ensuring each stage supports downstream analytics and consumption. - Understand the technical architecture and infrastructure underpinning storage, integrations, and analytics platforms to inform product decisions. - Collaborate with technical and business teams to balance competing demands and define a roadmap grounded in business value. - Profile data types, relationships, patterns, and trends to build a clear picture of the data landscape before defining requirements. - Partner with stakeholders to document clear, achievable data requirements, including how data should be presented for consumption. - Validate products with real users, measure performance through KPIs, and use data-driven insights to drive continuous improvement. - Lead cross-functional teams of data scientists, developers, and analytics specialists, mentoring and growing talent. - Support the integration of AI into team workflows to accelerate delivery and decision-making.

Requirements

- Advanced English proficiency (C1 or above), spoken and written, for direct communication with international stakeholders. - Hands-on background in data and analytics environments, with genuine technical depth rather than purely product or analytics experience. - Experience managing data-related projects end to end, including planning, execution, and stakeholder communication. - Strong strategic thinking and product mindset, with value-based prioritization and risk management. - Proven experience leading and developing technical teams. - Experience working within data platforms hosted on Azure Cloud Services, including modern transformation and warehousing tooling such as DBT and Snowflake. - Comfort using project management tools to plan, track, and communicate delivery status.

Nice to have

- Prior experience working with international clients across different time zones. - Background transitioning from product management, project management, or technical team leadership into data product roles. - Experience with data governance practices. - Experience with additional cloud providers such as AWS or GCP.

Benefits and work setup

- Health and dental insurance. - Meal and food allowance. - Childcare assistance and extended paternity leave. - Partnerships with gyms and wellness programs. - Profit sharing and results participation. - Life insurance. - Continuous learning platform, language learning platform, and partnerships with online learning providers. - Discount club and a free well-being platform covering physical and mental health. - Dedicated inclusion and accessibility support throughout the hiring process and employment.