Logistics Platform Product Owner - Data-Driven & SQL-Savvy

Ascentt

Plano (TX)

On-site

USD 110,000 - 150,000

Full time

10 days ago

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Job summary

Ascentt is seeking a Business Product Owner to own the roadmap, backlog and delivery for a data-driven logistics platform. You will translate logistics needs into epics, user stories, and acceptance criteria, and lead stakeholder workshops and Agile ceremonies.

You will define and track KPIs, partner with data engineering to validate data, dashboards, and solutions, and present product decisions to executives.

Qualifications

  • 5-8 years as Product Owner, Business Product Owner, or Product Manager.
  • Strong backlog management, prioritization, roadmap, and Agile/Scrum experience.
  • Strong SQL skills - joins, aggregations, window functions.
  • Experience with Power BI, Tableau, or Looker.
  • Hands-on experience with Jira and Confluence.
  • Excellent communication, presentation, facilitation, and stakeholder management skills.
  • Experience working with distributed onsite/offshore teams.

Responsibilities

  • Own product vision, roadmap, backlog, and release planning.
  • Translate logistics business needs into epics, user stories, and acceptance criteria.
  • Lead stakeholder workshops and Agile ceremonies.
  • Define and track product KPIs and success metrics.
  • Partner with data engineering teams to validate data, dashboards, and solutions.
  • Lead UAT, acceptance, prioritization, and stakeholder communication.
  • Present product decisions and trade-offs to business and executive stakeholders.

Skills

Product Owner
Backlog management
Agile / Scrum
SQL
BI tools
Jira & Confluence
Stakeholder management
Distributed teams

Tools

Jira
Confluence
Power BI
Tableau
Looker
SQL

Job description

Ascentt is seeking a Business Product Owner to own the roadmap, backlog and delivery for a data-driven logistics platform. You will translate logistics needs into epics, user stories, and acceptance criteria, and lead stakeholder workshops and Agile ceremonies.

You will define and track KPIs, partner with data engineering to validate data, dashboards, and solutions, and present product decisions to executives.

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