Data Product Owner

Accountabilities: Build and evolve the roadmap for data products, ensuring alignment with business strategies and organizational objectives. Define, monitor, and improve product success metrics, OKRs, and performance indicators. Translate business needs into clear technical requirements for data engineering and technology teams. Manage and prioritize product backlogs using agile methodologies such as Scrum and Kanban. Collaborate with Engineering, Analytics, and business teams to deliver high-value data solutions. Monitor squad performance indicators and promote continuous improvement across product development processes. Support data governance, security, quality, and compliance initiatives. Facilitate agile ceremonies in partnership with agile teams and support effective collaboration. Follow production deployments and ensure clear communication with stakeholders throughout delivery cycles. Promote a data-driven culture and encourage continuous evolution of data products. Requirements: Bachelor’s degree in Engineering, Computer Science, Information Systems, Statistics, Business Administration, Economics, or related fields. 3–5 years of experience working as a Product Owner, Data Analyst, Data Engineer, or similar roles. Experience managing data products focused on business needs and measurable outcomes. Strong understanding of agile methodologies, including Scrum and Kanban. Experience with backlog prioritization, product management practices, and roadmap development. Background in data projects, analytics, or data engineering environments. Familiarity with modern data architectures such as Data Lakes, Data Mesh, or similar platforms is a plus. Knowledge of OKRs, product metrics, and data-driven decision-making approaches. Excellent communication skills with both technical teams and executive stakeholders. Analytical, proactive, collaborative mindset with strong ownership and focus on results. Knowledge of Machine Learning, Artificial Intelligence applied to data, data governance, quality, or data cataloging is considered an advantage. Benefits: Full-time employment under a local employment contract. 100% remote work model. Meal or food allowance. Discounts on courses, universities, and language institutions. Access to an online learning platform with free, updated courses and certifications. Mentoring opportunities for professional development. Healthcare assistance. Dental assistance. Benefits club with discounts at partner establishments. Travel benefits and discounts. Pet care benefits. Opportunities to work with innovative technology, data, and digital transformation initiatives.