Product Owner

BE BRIGHT MEDIA, LLC
Baltimore, United States of America
24 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 75K

Job location

Remote
Baltimore, United States of America

Tech stack

Artificial Intelligence
Data analysis
Data Architecture
Information Engineering
Routing
Power BI
Cloud Services
SQL Databases
Scripting (Bash/Python/Go/Ruby)
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.

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

  • 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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