Job Title: Product Owner (Technical / Data Platforms)
Location: Phoenix, AZ (Hybrid)
Duration: 12Months

Job Summary

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.

Key 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.

Core Platforms & Technologies

• Test Automation: Selenium, JMeter, testing frameworks, SonarQube
• CI/CD Ecosystem: Jenkins, GitHub Actions, or similar tools
• Observability & BI: ELK Stack, Grafana, Power BI
• Data Platforms: Enterprise Data Warehouse (LUMI), CI/CD data pipelines

Required Skills

• 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

Preferred Skills

• 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)

Key Traits

• Strong analytical and problem-solving mindset
• Ability to bridge technical and business teams effectively
• Detail-oriented with a strategic vision
• Proactive and ownership-driven