Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We’re hiring passionate builders to shape the future of industrial intelligence.

Business Product Owner — Logistics Platform

Location: Plano, TX — Onsite
Employment Type: Full-Time
Experience: 5–8 Years

We are seeking a Business Product Owner to own the roadmap, backlog, and delivery for a data-driven logistics platform. The role requires strong product ownership, stakeholder management, Agile delivery experience, and the ability to use data to drive product decisions.

Key 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.

Must-Have Skills

• 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.
• Bachelor's degree.

Preferred

• Logistics / Supply Chain / Transportation experience.
• TMS, WMS, OMS, freight, fleet, last-mile, or 3PL experience.
• Exposure to Snowflake, Databricks, dbt, APIs, EDI, or GenAI

Ideal Candidate: A strong product owner who can independently drive the backlog, communicate with senior stakeholders, and use SQL and analytics to make evidence-based product decisions