Managing Product Owner

CapgeminiAustin, TX

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. This role will focus on enabling high-performing data engineering teams, ensuring predictable delivery, and removing impediments across complex, cloud-based data initiatives. Capgemini Product Owners often operate in a proxy role for the client. They communicate a compelling product vision and roadmap; create and continually refine a backlog and help the team prioritise work that delivers the most value. They continuously explore, innovate and experiment to bring new ideas to the product. They motivate the team to release, inspect and adapt a constant flow of features, ensuring that the product remains usable, valuable and feasible. Provides product ownership for a complex product through the full product lifecycle. Provides input to the shaping and definition of the end product portfolio and gives guidance to the direction of end products. Identifies opportunities, promotes and grows the value that Capgemini brings to the client. Responsible for the delivery of product ownership services to the client.

Requirements

  • Strong experience supporting data engineering, analytics, or cloud platform projects
  • Hands-on experience working with cloud technologies (preferably GCP) and data platforms
  • Deep understanding of Agile/Scrum frameworks and scaled Agile environments

Responsibilities

  • Serve as Scrum Master for one or more data engineering teams delivering a GCP-based Data Lake/Lakehouse
  • Facilitate Agile ceremonies (Sprint Planning, Daily Stand-ups, Reviews, Retrospectives) with a strong outcome focus
  • Partner with Product Owners to manage and refine the backlog, ensuring clear priorities and well-defined user stories
  • Remove delivery impediments related to cloud infrastructure, data dependencies, security, and cross-team alignment
  • Track and report delivery metrics (velocity, burndown, risks, dependencies) to stakeholders
  • Drive Agile best practices and continuous improvement across distributed/onshore-offshore teams
  • Coordinate with architects, data engineers, DevOps, and platform teams to enable smooth end-to-end delivery
  • Support release planning and milestone tracking for enterprise-scale data programs

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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