Data Driven Data Product Owner
Há 5 dias
At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €652M. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people. We are proud of the culture we have built together. We are proud of our people at the service of technology. We are proud of our diverse environment. Because we are #TechforPeople. Join our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers and other extraordinary talents, spread across more than 18 EMEA countries. Become one of our +8.000 tech and business leaders on cloud, data and cyber security. Let’s fuse creativity with technology together and build innovative solutions that actively change things for the better.
- Take ownership of data-related products, from concept to delivery, ensuring alignment with organizational goals and stakeholder needs;
- Leverage your expertise to manage complex data infrastructures effectively, including data warehouses, big data environments;
- Utilize your strong technical background in data technologies, including Big Data, Machine Learning, Data Warehousing, BI tools, and/or advanced SQL, to guide product development and technical teams;
- Utilize your understanding of cloud solutions, such as AWS, Google Cloud, or Azure, to guide the deployment and scaling of data products in a cloud environment.
- Educational Background: Bachelor's or Master’s degree in Computer Science, Data Science, Engineering, or a related field;
- +3 years as a product owner, product manager, or similar;
- Proven expertise in managing complex data infrastructures;
- Strong technical background in data technologies: Big Data, Machine Learning, Data Warehousing, BI tools, and advanced SQL;
- Comprehensive understanding of Data Architecture, Modeling, Storage, Quality, BI, Big Data, Metadata, and Integration;
- Functional data expertise: KPI mapping, Data Model Design, Dashboard Mockups;
- Familiarity with visualization tools: Tableau, Power BI, Looker;
- Governance & Regulations: Knowledge of data governance principles, best practices, and data protection regulations like GDPR and CCPA;
- Proficiency in Agile, especially Scrum;
- Certifications in Product Management or Agile are a plus;
- Cloud Platforms: Understanding of cloud solutions such as AWS, Google Cloud, or Azure.
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