FBS - Data Product Owner

23 hours, 7 minutes ago
Full-time
Mid Level
Data Science and Analytics
Capgemini

Capgemini

Capgemini is a global leader in consulting, technology services, and digital transformation, empowering businesses with innovative solutions and expertise to thrive in a rapidly evolving market.

Internet Software & Services
100K+
Founded 1967
$93M raised

Description

  • Own and manage the product backlog for strategic data initiatives aligned to business priorities and enterprise data objectives.
  • Partner with business stakeholders to define product vision and translate business needs into 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 confirming solutions meet 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 scalable solutions.
  • Ensure data quality, consistency, and governance across multiple data sources.
  • Identify opportunities for automation and process improvements using modern data technologies.
  • Track product progress, communicate risks, and provide regular updates to stakeholders.
  • Promote Agile and SAFe best practices while supporting sprint planning, backlog refinement, and product delivery.

Requirements

  • Experience as a Product Owner, Business Analyst, Data Analyst, or in a 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 and 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 and Development.

Interested in this position?

Apply directly on the company website

Apply Now

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