Data Product Manager

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Product Manager based in Brazil. As a Data Product Manager, you will transform global fintech strategies into scalable, data-driven products that support Buy Now, Pay Later (BNPL) and digital payments across more than 10 international markets. Working at the intersection of product management, commercial strategy, data analytics, engineering, and artificial intelligence, you will turn complex business needs into actionable product requirements. You will help shape roadmaps, prioritize initiatives, and ensure that data products deliver measurable business value. By partnering with cross-functional teams, you will enable reliable reporting, predictive analytics, and AI-powered solutions that improve decision-making and customer experiences. This role offers an opportunity to combine technical expertise with strategic leadership in a fast-evolving fintech ecosystem. It is particularly well suited to a data professional looking to grow into product management while influencing digital transformation at a global scale.

Translate global fintech data product strategies into actionable initiatives, epics, user stories, and technical requirements that deliver business value across BNPL and digital payment products. Collaborate with Data Analytics, Data Engineering, and Data Science leaders to prioritize, develop, and deliver scalable data products that support business operations across more than 10 markets. Partner with Product Managers and Software Engineering teams to define workflows, data contracts, integration requirements, and product specifications for data-intensive applications. Leverage AI tools to streamline product documentation, backlog creation, requirements gathering, and development planning, improving team efficiency and delivery quality. Lead product planning and Agile ceremonies, including pre-planning, roadmap discussions, backlog refinement, sprint planning, and stakeholder reviews. Align data product roadmaps with application product teams to ensure seamless integration between data capabilities, digital platforms, and end-user experiences. Drive product analytics initiatives by ensuring stakeholders have access to reliable data, relevant key performance indicators (KPIs), dashboards, and actionable insights. Present product releases, roadmap updates, performance metrics, and business outcomes to global commercial stakeholders, gathering feedback to continuously improve products. Represent data perspectives in cross-functional discussions, translating complex analytical concepts into clear business value propositions and strategic recommendations. Work closely with Data Governance teams to ensure that data products comply with global data standards, governance requirements, and platform best practices. Identify opportunities to improve product performance, data quality, analytical capabilities, and business outcomes through continuous evaluation and prioritization. Requirements: Bachelor's degree in Engineering, Computer Science, Information Systems, Data Science, Systems Analysis, or a related technical discipline. Relevant professional experience in data product management, data analytics, data engineering, data science, or another closely related technical field. Demonstrated ability to translate business objectives into product requirements, roadmaps, and data-driven solutions that generate measurable impact. Strong stakeholder management skills, with experience collaborating across commercial, product, data, and engineering teams in complex organizational environments. Advanced SQL proficiency and hands-on experience with data visualization and business intelligence tools such as Power BI, Tableau, or equivalent platforms. Solid understanding of analytics, KPI development, statistical concepts, data interpretation, and data storytelling. Experience working in Agile product development environments, managing product backlogs, prioritizing initiatives, and coordinating delivery across multiple teams. Fluency in English, with the ability to communicate technical concepts clearly and confidently to international stakeholders. Strong strategic thinking and analytical problem-solving skills, with the ability to use data to influence business decisions and product direction. Excellent communication and collaboration skills, including the ability to align stakeholders across different functions and organizational levels. Comfort navigating ambiguity, managing competing priorities, and making informed decisions in a fast-paced, evolving environment. A proactive, growth-oriented mindset, with a strong interest in developing product leadership capabilities and expanding impact within data organizations. Nice to have: Experience with fintech products, digital payments, Buy Now, Pay Later (BNPL) solutions, lending products, or financial services data. Knowledge of machine learning concepts, including feature engineering, feature importance, data drift monitoring, and MLOps practices. Experience with Microsoft Azure, Databricks, or modern cloud-based data platforms. Professional certifications in Azure, Databricks, Product Management, or Data Analytics. Proficiency in Spanish, supporting collaboration across international markets. Benefits: Performance-based bonus: Additional compensation linked to applicable performance criteria. Attendance bonus: Additional reward subject to the organization's eligibility rules. Private pension plan: Support for long-term financial planning. Meal allowance: Financial assistance for meals. Health and well-being: Health insurance, dental insurance, life insurance, and discounts on medicines. WellHub partnership: Access to fitness and wellness resources. Family support: Childcare subsidies and school materials assistance. Paid time off: Additional days off, subject to applicable policies. Professional development: Scholarships and access to language-learning and training platforms. Transportation allowance: Support for commuting expenses, according to applicable policies. Lifestyle and product perks: Casual dress code, discounts on eligible company products, and access to the Clube Ben partnership. Global business exposure: Opportunities to collaborate with international teams and contribute to data products serving more than 10 markets. Career development: An opportunity to expand your expertise across product management, fintech, data analytics, and AI-driven solutions.