Data Product Owner

🔥 8 minutes ago

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Logo of Capgemini

Capgemini

10,000+ employees

Founded 1967

🏢 Enterprise

🤖 Artificial Intelligence

🔒 Cybersecurity

Enterprise • Artificial Intelligence • Cybersecurity

Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.

📋 Description

• Own and manage the product backlog for strategic data initiatives, ensuring work is aligned with business priorities and enterprise data objectives • Partner with business stakeholders to understand requirements, define product vision, and translate business needs into actionable user stories • Prioritize features, enhancements, and technical work to maximize business value and support delivery roadmaps • Facilitate communication between business teams, data engineers, architects, and technical delivery teams • Lead User Acceptance Testing (UAT) by defining validation criteria and ensuring delivered solutions meet business requirements and quality standards • Support the development and evolution of a centralized enterprise data warehouse and foundational data products • Collaborate with Information Delivery and Data Engineering teams to define technical requirements and ensure scalable data solutions • Ensure data quality, consistency, and governance across multiple data sources • Identify opportunities for automation and process improvements using modern data technologies • Facilitate stakeholder meetings, prioritize competing requests, and drive alignment across cross-functional teams • Track product progress, communicate risks, and provide regular updates to business and technical stakeholders • Promote Agile and SAFe best practices while supporting sprint planning, backlog refinement, and product delivery activities • Build strong partnerships across business and technology teams to ensure successful product adoption and long-term value delivery

🎯 Requirements

• Years of experience as a Product Owner, Business Analyst, Data Analyst, or similar role supporting data products or analytics initiatives • Strong understanding of data warehousing, data integration, and enterprise data management concepts • Experience working with SQL and Snowflake to understand and validate data solutions • Strong Excel skills with experience analyzing and validating complex datasets • Basic knowledge of Python, with an understanding of how it can support automation and data processes • Experience working within Agile or SAFe delivery environments • Strong understanding of User Acceptance Testing (UAT), backlog management, and requirements prioritization • Experience working with cross-functional technical and business teams • Excellent communication, facilitation, and stakeholder management skills • Strong analytical thinking, organization, and problem-solving abilities • Ability to work independently and manage multiple priorities in a fast-changing environment

🏖️ Benefits

• Comprehensive benefits package • Career development and training opportunities • Flexible work arrangements • Dynamic and inclusive work culture within a globally renowned group • Private Health Insurance • Pension Plan • Paid Time Off • Training & Development

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