Data Product Manager

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Establish and guide the vision, strategy, and roadmap for data products that align with business goals and the company's data platform.

• Convert the needs of business and cross-functional teams into precise data product requirements, complete with understandable data contracts and clearly defined consumption patterns.

• Manage the backlog prioritization based on value, effort, and impact, while balancing the demands from various stakeholders.

• Collaborate with Data Engineering, Data Science, AI, and Product teams to facilitate scalable and reusable deliveries.

• Set and monitor success, adoption, and quality metrics for data products.

• Ensure that delivered products satisfy the use cases of consuming teams, including Generative AI applications and autonomous agents.

• Maintain data governance, reliability, and compliance (including LGPD) in conjunction with the relevant areas.

• Clearly convey decisions, trade-offs, and roadmap developments to both technical and business audiences.

⛳️ Requirements

• Extensive experience as a Product Manager / Product Owner, ideally with a focus on data products, data platforms, or data-driven products.

• Proven experience managing the entire product lifecycle: discovery, prioritization, roadmap development, requirements writing, and metrics tracking.

• Strong understanding of data engineering and architecture concepts (pipelines, ingestion, transformation, Data Lake, Data Warehouse, and data contracts).

• Capability to translate business challenges into data solutions and engage deeply with technical teams.

• Experience collaborating with multidisciplinary teams utilizing agile methodologies (Scrum, Kanban).

• Knowledge of product metrics and a culture centered on data-driven decision-making.

• Solid understanding of data governance, quality, and privacy (LGPD).

• Desired:

• Familiarity with the concept of Data as a Product and frameworks such as Data Mesh.

• Experience with AWS cloud environments (S3, Glue, Athena, SageMaker, Bedrock and associated services).

• Understanding of Generative AI use cases (RAG, agents, LLMs) and how data products support these solutions.

• Basic SQL skills for independent data exploration and validation.

• Previous experience in the financial sector or in high-scale, high-criticality environments.

• Certifications in product management (e.g., Pragmatic, Reforge) or AWS cloud.

🏝️ Benefits

• Meal Allowance and/or Food Voucher

• Sesi and Sesc health and wellness agreements, offering access to health, well-being, and leisure services

• Partnerships with educational institutions providing exclusive discounts on courses and educational programs

• Opportunities for advancement within the company and involvement in strategic projects

• Chance to work for a rapidly expanding company in the market.