Product Owner

Phoenix, AZ, 85005

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Type: Contract

Reference ID: 32216456

Date Posted: 04/29/2026



Apply now: Product Owner, location is Remote. The start date is ASAP for this 12-month contract position.

Job Title: Product Owner
Location-Type: Remote (PST hours)
Start Date Is: ASAP
Duration: 12-month contract (potential to convert)
Compensation Range: $55/hr – $60/hr W2
Benefits: Eligible for Health, Dental, Vision, 401K
Must be authorized to work in the U.S. This position is not eligible for sponsorship.
 

Job Description:
Drive the delivery of enterprise analytics and BI solutions by owning product strategy, backlog, and execution within Agile data teams.

Day-to-Day Responsibilities:

  • Act as Product Owner within Agile/Scrum teams supporting data engineering and BI initiatives
  • Translate business needs into user stories and actionable requirements
  • Manage and prioritize product backlog focused on high-value analytics deliverables
  • Lead Agile ceremonies (stand-ups, sprint planning, retrospectives, etc.)
  • Partner with stakeholders to align on product vision, priorities, and outcomes
  • Oversee development of dashboards, data pipelines, and analytics solutions
  • Monitor team performance and remove blockers to ensure timely delivery
  • Support product adoption through training materials, documentation, and communication
  • Analyze data outputs to validate BI solutions and inform product decisions

Requirements:

Must-Haves:
  • 5 years of experience in Product Ownership within analytics or BI environments
  • Strong background in data architecture and data pipelines
  • Experience working with data engineering and BI teams
  • Proficiency in SQL and familiarity with Python scripting
  • Hands-on experience with BI tools (e.g., Power BI)
  • Experience working with Snowflake or similar cloud data platforms
  • Strong communication skills with ability to translate vision into execution
  • Experience driving team performance and delivery outcomes
  • Solid project management skills across full product lifecycle
Nice-to-Haves:
  • Experience with AI/ML or data science initiatives
  • Exposure to modern data architecture frameworks (e.g., medallion architecture)
  • Experience supporting operational analytics (e.g., routing, logistics)
  • Background in change management and user adoption strategies

 

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