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Product Owner - Data Experience
Negotiable Salary
Indeed
Full-time
Onsite
No experience limit
No degree limit
79Q22222+22
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Description

Description: What we need you to know: Essential Requirements: * Bachelor's degree in Engineering, Computer Science, Information Systems, Statistics, Administration, Economics, or related fields. * Solid experience as a Product Owner, Data Analyst, Data Engineer, or similar roles. * Experience in data product projects oriented toward business areas. * Hands-on experience with agile methodologies (Scrum, Kanban) and backlog prioritization techniques. * Experience in data-focused, analytics, or data engineering projects—preferably in environments featuring Data Lake, Data Mesh, etc. * Familiarity with OKRs, metrics, and product prioritization techniques (backlog). * Analytical capability and data-driven decision-making skills. * Contextual awareness to identify opportunities and manage conflicts/expectations. * Clear and effective communication with both technical and non-technical stakeholders. * Proactivity, critical thinking, ownership mindset, and adaptability. Desirable Qualifications: * Basic understanding of machine learning and artificial intelligence applied to data. * Experience with AWS Cloud. * Experience with data governance, data quality, and data cataloging. We are seeking a talented Data Product Owner to join our team. If you are passionate about data and have experience transforming business needs into efficient solutions, this is your opportunity to be part of an innovative and dynamic team! What we expect you to deliver: * Build and evolve the data product roadmap, identifying strategic opportunities and aligning with business areas. * Define and track success metrics and OKRs, ensuring high-value deliveries focused on user experience. * Translate business area needs into clear technical requirements for the data engineering team. * Manage and prioritize the backlog, ensuring business needs are effectively addressed. * Promote alignment and value delivery by collaborating with data engineering, analytics, and business squads. * Monitor squad performance indicators and implement continuous improvements. * Support data governance, security, and compliance initiatives. * Facilitate agile ceremonies in partnership with the agility team. * Oversee production releases and coordinate communications with partner areas. 2512210202551875833

Source:  indeed View original post
João Silva
Indeed · HR

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