Product Owner (Technical / Data Platforms)

OmegaHiresPhoenix, AZ
1dHybrid

About The Position

We are seeking a highly technical and business-savvy Product Owner to lead the strategy, roadmap, and execution of enterprise Test Platforms, CI/CD data ecosystems, and BI/Analytics platforms. This role sits at the intersection of engineering, data, and customer experience. The ideal candidate will translate complex technical systems into scalable, business-aligned solutions, while driving product innovation and operational excellence across platforms. A strong understanding of CI/CD data pipelines and enterprise data warehousing (LUMI) is critical to ensure seamless data ingestion, modeling, and consumption.

Requirements

  • Strong experience as a Product Owner / Product Manager in a technical environment
  • Deep understanding of CI/CD pipelines and DevOps practices
  • Experience working with data platforms and data engineering concepts
  • Ability to work with BI/Analytics tools and interpret data insights
  • Strong experience in Agile/Scrum methodologies
  • Excellent stakeholder management and communication skills

Nice To Haves

  • Experience with enterprise data warehouses (LUMI or similar)
  • Familiarity with observability tools like ELK or Grafana
  • Background in QA automation platforms and tools
  • Technical background (Engineering, Data Engineering, or DevOps)

Responsibilities

  • Own and drive product strategy, roadmap, and execution for test platforms, CI/CD ecosystems, and analytics platforms.
  • Define and prioritize product backlog, ensuring alignment with business goals and stakeholder needs.
  • Translate high-level business requirements into detailed product features, user stories, and acceptance criteria.
  • Partner with engineering, QA, DevOps, and data teams to deliver scalable and high-performing solutions.
  • Ensure efficient data flow across CI/CD pipelines, observability tools, and enterprise data warehouse (LUMI).
  • Monitor product performance and continuously optimize based on data insights and feedback.
  • Drive adoption and usability of platforms across engineering and business teams.
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