Product Owner

The Product Owner
Houston, TX, United States
about 2 months ago

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$91,520.0 - $141,440.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Data Architecture Information Engineering Routing Power BI Cloud Services SQL Databases Scripting Snowflake Data Pipelines

Job description

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

  • 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
  • Exposure to Medallion architecture
  • 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

Preferred Qualifications:

  • Experience with AI/ML or data science initiatives
  • Experience supporting operational analytics (e.g., routing, logistics)
  • Background in change management and user adoption strategies

Apply for this position

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