
Data Product Manager
Posted 11 hours ago

Posted 11 hours ago
This is a fully remote position, open to applicants in Brazil.
• Oversee the entire lifecycle of data products, encompassing ideation, development, deployment, optimization, and ongoing enhancement.
• Establish and prioritize data product roadmaps, balancing business requirements, technical feasibility, and stakeholder expectations.
• Collaborate with cross-functional teams, including Data Engineers, Data Scientists, Analytics Specialists, and business stakeholders.
• Grasp data architectures, ETL/ELT pipelines, integrations, and analytics platforms to inform product decisions and strategic direction.
• Convert business requirements into clear, actionable, and feasible specifications for technical teams.
• Conduct data profiling and analysis to uncover patterns, relationships, and opportunities for value creation.
• Set metrics, KPIs, and success criteria to evaluate the performance and impact of data products.
• Confirm solutions with users and stakeholders to ensure alignment with business needs and expectations.
• Promote a data-driven culture and facilitate the integration of AI and automation within team workflows.
• Lead and influence cross-functional teams while nurturing the growth and development of professionals involved in data initiatives.
• Proficient English communication skills (both written and verbal).
• Experience engaging with international clients.
• Prior experience in Data, Analytics, Business Intelligence, or related domains.
• Experience overseeing products, projects, or data-driven initiatives.
• Strong skills in value-based prioritization and risk management.
• Strategic mindset, product-focused approach, and emphasis on business impact.
• Experience collaborating with multiple stakeholders and cross-functional teams.
• Proven leadership experience or the ability to guide 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 related to data products.
• Health and dental insurance
• Meal and food allowance
• Childcare assistance
• Extended paternity leave
• Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass;
• Profit Sharing and Results Participation (PLR);
• Life insurance
• Continuous learning platform (CI&T University);
• Discount club
• Free online platform dedicated to physical, mental, and overall well-being
• Pregnancy and responsible parenting course
• Partnerships with online learning platforms
• Language learning platform
• And many more!
Nielsen
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