Kaizen Analytix-posted 3 months ago
$40 - $50/Yr
Mid Level
Remote • Detroit, MI
11-50 employees

We are seeking an experienced Product Owner to join our Automotive Intelligence team and help develop and execute a new product offering. This role is an opportunity to shape innovative solutions at the intersection of automotive data, analytics, and technology.

  • Partner with Product and Data Analytics leadership to define product strategy and roadmaps (short- and long-term).
  • Lead backlog grooming and prioritization, bridging business value with technical implementation.
  • Translate product features into clear backlog items with well-defined acceptance criteria.
  • Build user story maps, write user stories, manage backlog refinement and prioritization, and support acceptance test-driven development.
  • Create and maintain release documentation and ongoing training materials.
  • Represent agile teams in sprint reviews, articulating delivered business value.
  • Apply creative and rigorous problem-solving to address platform-wide technical and business challenges.
  • Identify key value drivers, opportunities, and sources of error across products and processes.
  • Lead short-term preventive measures and long-term product improvement initiatives in close collaboration with engineering, QA, and data support teams.
  • Coordinate with engineers to design repeatable processes and generate deliverables to answer routine business questions.
  • 3+ years of experience as a Product Owner in an Agile Scrum environment.
  • Bachelor’s degree in mathematics, engineering, economics, statistics, computer science, information management, or a related quantitative field.
  • Proven experience using data and analytics to drive decision-making, with ability to clearly explain analysis to executive stakeholders.
  • Deep understanding of Agile development principles with flexible, practical application.
  • Conceptual knowledge of data integration technologies and standards.
  • Hands-on experience with road-mapping and issue tracking tools (Aha!, MS Azure DevOps, Salesforce).
  • Advocate for data-driven decision-making, empirical research, and engineering best practices.
  • Strong communication skills across technical and non-technical audiences.
  • Collaborative team player comfortable working with globally distributed teams across time zones.
  • Familiarity with Excel, SQL, BigQuery, MongoDB, and Postman preferred.
  • Experience or interest in dimensional data modeling concepts.
  • Automotive industry experience.
  • Join the leading provider of automotive data, analysis, and insights.
  • Drive growth and innovation in new Automotive Intelligence product offerings.
  • Gain exposure to senior leadership and mentors invested in your career growth.
  • Work on challenging problems that push boundaries in data-driven decision-making.
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