Logic20/20-posted 3 days ago
$139,752 - $153,408/Yr
Full-time • Mid Level
Seattle, WA
251-500 employees

As Product Owner, you’ll lead a team in a fast-paced environment, collaborating with a wide range of contributors such as developers, architects, and analysts. You’ll dive into new areas of the product lifecycle, contributing tangible value across multiple phases. Along every step of the way, you’ll be empowered to participate in key decision-making and use your skills, thought leadership, and passion to drive yourself and your team forward. You’re obsessed with understanding customer needs and laser-focused on driving the product requirements that align with them. You have a passion for emerging technologies. You have proven expertise in industry SDLC best practices and delivery excellence. You’re a pro at integrating usability studies, research, and market analysis into product requirements to enhance user satisfaction. The Logic20/20 Advanced Analytics team is where skilled professionals in data engineering, data science, and visual analytics join forces to build simple solutions for complex data problems. We make it look like magic, but for us, it’s all in a day’s work. As part of our team, you’ll collaborate on projects that help clients spin their data into a high-performance asset, all while enjoying the company of kindred spirits who are as committed to your success as you are. And when you’re ready to level up in your career, you’ll have access to the training, the project opportunities, and the mentorship to get you where you want to go.

  • 5-10 years of experience as a technical product owner managing complex data science, data engineering, and/or software development products.
  • Experience working with data engineering teams.
  • Strong understanding of the software development process, including Agile and Scrum.
  • Agile Scrum, Scrum Master, and/or SAFe certifications, such as CSM, PSM, CSPO, etc.
  • Experience in the utilities industry.
  • Bachelor’s degree in computer science, software engineering, applied sciences, mathematics, statistics, econometrics, or a related field.
  • Consulting experience is highly preferred.
  • Experience with data & analytics product development within Palantir Foundry.
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