[Job-30043] Data Product Manager, Brazil

Key Responsibilities

• Manage the complete lifecycle of data products, from ideation and development to deployment, optimization, and continuous improvement.
• Define and prioritize data product roadmaps, balancing business needs, technical feasibility, and stakeholder expectations.
• Partner with cross-functional teams, including Data Engineers, Data Scientists, Analytics Specialists, and business stakeholders.
• Understand data architectures, ETL/ELT pipelines, integrations, and analytics platforms to support product decisions and strategic direction.
• Translate business needs into clear, actionable, and achievable requirements for technical teams.
• Perform data profiling and analysis to identify patterns, relationships, and opportunities for value creation.
• Define metrics, KPIs, and success criteria to measure the performance and impact of data products.
• Validate solutions with users and stakeholders to ensure they meet business needs and expectations.
• Foster a data-driven culture and support the adoption of AI and automation within team workflows.
• Lead and influence cross-functional teams while supporting the growth and development of the professionals involved in data initiatives.

Requirements

• Advanced English communication skills (written and spoken).
• Experience working with international clients.
• Previous experience in Data, Analytics, Business Intelligence, or related fields.
• Experience managing products, projects, or data-driven initiatives.
• Strong value-based prioritization and risk management skills.
• Strategic thinking, product mindset, and focus on business impact.
• Experience working with multiple stakeholders and cross-functional teams.
• Team leadership experience or proven ability to lead complex initiatives.

Nice to Have

• Experience with Data Visualization and/or Advanced Analytics.
• Knowledge of cloud platforms such as AWS, Azure, or GCP.
• Familiarity with project and product management tools.
• Experience with Artificial Intelligence initiatives applied to data products.…