Senior Product Owner

Capgemini•Atlanta, GA
•Hybrid

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. The Product Lead is responsible for delivering enterprise data products, data warehouse solutions, and system integrations, ensuring trusted, scalable, and business-aligned data capabilities. The role bridges business stakeholders and engineering teams, translating product strategy into actionable requirements and successful delivery outcomes. Location Miami, Florida with 4 days in office requirement.

Requirements

  • 7+ years in: Product Management, Data Product Delivery, Business Analysis, Data & Analytics Programs
  • Experience with: Data Warehouses, Data Pipelines, System Integrations, Agile Delivery, Backlog Management
  • Strong experience translating business needs into technical and data requirements.
  • A Data Product Lead/Product Owner with strong experience in data warehousing, integrations, analytics platforms, agile delivery, and stakeholder management, capable of driving end-to-end delivery of enterprise data products while ensuring data quality, governance, and business value.

Nice To Haves

  • Cloud Data Platforms (Snowflake, Databricks, BigQuery, etc.)
  • ETL/ELT Processes
  • Data Integration Tools
  • Data Governance
  • Metadata & Lineage Management
  • Modern Data Stack Technologies

Responsibilities

  • Own and manage the product backlog for: Data Products, Data Pipelines, Data Warehouse Solutions, System Integrations
  • Convert product roadmaps into: User Stories, Data Requirements, Acceptance Criteria, Data Models & Transformations
  • Partner with Engineering, QA, and Business teams to deliver high-quality solutions.
  • Define and maintain: Data Definitions, Data Lineage, Business Rules, Data Quality Standards
  • Support data validation, testing, UAT, releases, and post-production monitoring.
  • Ensure seamless integration and data flow across upstream and downstream systems.
  • Track delivery progress, risks, dependencies, and business impacts.
  • Drive continuous improvement through usage insights and stakeholder feedback.
  • Ensure compliance with enterprise data governance, security, and regulatory standards.
  • Provides product ownership for a product through the full product lifecycle.
  • Provides guidance on methods and leads practices for developing user stories.
  • Advises the client about the product direction and development lifecycle.
  • Manages the involvement of stakeholders and keeps them engaged.

Benefits

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
  • Company paid holidays
  • Personal Days
  • Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility
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